Lyghthouz, Author at Lyghthouz Europe

Digital Health Strategy for HealthTech Giant

November 21, 2024

by Lyghthouz Personalised 1:1 Menternships

Interested in contacting our student for admissions, scholarships, or other opportunity? Contact Lyghthouz to access parent's contact after your identity verification and parent's approval.

About
Riya Vyas is a 17-year-old student at a prestigious IB school in India, with a strong passion for healthcare and technology. Fascinated by the potential of digital innovations to transform patient care, Riya is dedicated to exploring how technology can solve critical healthcare challenges. Whether it’s researching health-tech trends or developing strategic ideas, she is eager to bridge the gap between healthcare and technology. Outside of academics, Riya actively engages in piano, tennis and loves to spend time with her family dog Cherry.

"I am pleased to recommend Riya -she is a talented high school student who completed a strategy project on digital health under my guidance. Riya’s project explored how digital platforms can improve patient care, and she showed great analytical ability and creativity in her approach. She also demonstrated strong communication skills, presenting her findings clearly and confidently. Her professionalism and enthusiasm for the project were impressive, and she took ownership of her work, showing maturity beyond her years.
Riya’s passion for digital health, combined with her problem-solving skills and strategic mindset, make her a standout student. I’m confident she will excel in any academic or professional opportunities she pursues."

Manav Singh

Chief Commercial Officer, Ex-Bain & Company

PROJECT DETAILS

Digital Health Strategy for Medical Technology Giant (GE Healthcare)

Click Here For Full Presentation

PROJECT GOAL

To propose how AI enabled remote patient monitoring can enable physician practices, health systems & payers to reduce heath care costs and improve health outcomes by detecting health deterioration earlier, while encouraging self care-plan adherence to patients
To develop value proposition that will deliver rapid, profitable, growth for GE Healthcare in the field of digital health
How to engage users (doctors and patients) around the service model
Potential revenue estimation if GE healthcare launches Remote Patient Monitoring in a country like Netherlands

CONCLUSION

GE Healthcare’s Remote Patient Monitoring (RPM) service presents significant value across the healthcare ecosystem, benefiting patients, providers, and payers alike.

For patients, the service enhances accessibility, affordability, and self-management of health, while offering personalized care plans and improved medication adherence.
Providers gain from timely intervention, enhanced efficiency, and the ability to handle more patients with better outcomes, improving overall customer satisfaction.
Payers benefit from improved quality of care, reduced hospital readmissions, and lower healthcare costs.

Forecasting the potential revenue for GE’s RPM service in the Netherlands, we see promising growth over the next five years.

Students Inspired by this Lyghthouz Mentor

white and black concrete building during night time

Improving Movie Recommendations for Netflix

November 8, 2024

by Lyghthouz Data Science & Analytics (+AI)

Cohort Start Date: 5th February 2025

Reserve your spot

Background

Netflix, the world’s leading streaming entertainment service, caters to over 238 million paid memberships across more than 190 countries. The platform offers a wide variety of TV series, documentaries, and feature films across multiple genres and languages. One of the core reasons behind Netflix’s global success is its ability to provide personalized content recommendations, using cutting-edge data science techniques to keep users engaged.

Personalized recommendations drive user satisfaction, helping viewers discover new content they would enjoy, leading to longer watch times and higher customer retention. The recommendation system is a critical component of Netflix’s business model, and continuous improvement of this system remains a top priority.

The Challenge

Despite Netflix’s existing recommendation engine being sophisticated, there are challenges in ensuring that the algorithm delivers truly accurate recommendations that are in line with a user’s evolving preferences. Viewers often complain about the platform recommending content that is irrelevant, not in tune with their tastes, or too similar to what they’ve already watched. This challenge can be attributed to a few factors: Data overload, changing user preferences, no previous viewing history etc.

As a team of data science students, your task is to help Netflix improve its recommendation engine by solving these key challenges. You will work with a dataset (potentially hypothetical or simulated) containing user interaction data, movie metadata, and ratings.

Reserve your spot

Week 1

By the end of this week, students will understand what data science is, its role in business, and how it helps solve business & research problems.
They will define the problem that they will work on.
Reflect on real world examples

Discussion Topics:

What kinds of data do you think Netflix collects to make recommendations?
What are some of the challenges in analyzing such large datasets?
How do you think data science impacts your everyday life (e.g., social media, shopping, or school)?
Can you think of ways data science might affect everyday life? For example, how could a company use your social media data?

Assignment:

Research and download a publicly available Netflix dataset (e.g., IMDb ratings, genres, or content popularity). Create a brief report on the dataset you’ve chosen and explain why it’s interesting.

Alternate Assignment:

Research and write a 200-word presentation on a company (other than Netflix) that uses data science to make decisions. How does data improve their business?

Week 2

Understand different types of data, how to work with datasets, and data collection methods.
Learn how to clean and prepare the dataset for analysis, focusing on handling missing data, outliers, and formatting the data properly for analysis.

Discussion Topics:

Why do you think companies like Netflix and Amazon are so focused on data science? How does it benefit them?
Why is data cleaning important, and what are the most common issues when preparing real-world datasets?
How can we make sure the data accurately reflects the trends we want to study?

Assignment:

Take the Netflix dataset and identify any issues (missing values, duplicates). Clean the data. Document the steps you took to clean the dataset and explain why each step was necessary.

Alternate Assignment:

Download a sample Netflix dataset and explore it. Identify the types of data included. Write a short essay on data ethics and privacy, particularly in streaming services like Netflix.

Week 3

How to explore and analyze data, search for patterns or trends to improve Netflix’s recommendation system.
Emphasis on Exploratory Data Analysis (EDA) techniques ( such as Summary Statistics, Data Visualization, Correlation)

Discussion Topics:

How would Netflix use user data to recommend movies?
Why do you think data visualization (like charts and graphs) is important for data analysis?
What insights can be drawn from analyzing trends such as genre popularity or user ratings?
How do seasonal patterns (e.g., more viewership during holidays) affect Netflix’s strategy?

Assignment:

Analyze the cleaned Netflix dataset. Create visualizations showing the most popular genres, ratings, or trends over time.
Write a short summary of any trends or patterns you identified in the dataset.

Alternate Assignment:

Perform a trend analysis on the Netflix dataset. Create visualizations to showcase key insights, such as popular genres over time or trends in user ratings.

Week 4

Learn why is Data Visualization Important, understand common Visualisation Tools, choosing right chart or graph for communicating results etc
Storytelling with data and how to prepare a report that communicates their insights effectively.

Discussion Topics:

Why is it important to visualize data instead of just showing numbers?
How would you present your findings to someone who doesn’t know much about data science?
Why do you think data visualization (like charts and graphs) is important for data analysis?

Assignment:

Create a data dashboard or report summarizing your analysis. Include graphs, charts, and key insights that Netflix could use to improve recommendations.

Alternate Assignment:

Create at least two visualizations (e.g., genre distribution, most-watched content). Include the visualizations in your project work and a brief description of what each reveals.

Week 5

Learn the basics of predictive modeling and how it can be used to forecast future trends.
Key Concepts such as Simple Linear Regression, Classification, Clustering, building & testing a model
Introduction to Machine Learning

Discussion Topics:

What is predictive modeling, and how is it used to anticipate future behavior on platforms like Netflix?
What do you think makes Netflix’s recommendations accurate?
How could machine learning be used in other industries?
How can you measure the accuracy of your model?

Assignment:

Create a predictive model using linear regression or other simple methods to forecast future genre or content popularity. Using the model, explain your results.

Alternate Assignment:

Build a simple predictive model using the Netflix dataset (e.g., linear regression to predict future ratings or trends). Test your model’s accuracy and document your process in a short report.

Week 6

Presenting to Chief Data Officer: Tips on how to deliver a presentation to a business leader and respond to feedback
Learn Industry Best Practices
Students will present their completed projects, showing how they’ve used data science techniques to solve a real-world problem for Netflix.

Discussion Topics:

How do you feel your analysis would help Netflix?
What challenges did you face in the data science process, and how did you overcome them?

Assignment:

Prepare and deliver a final project presentation (10 mins long) that includes:

Problem definition.
Data analysis and visualization.
Final recommendations for improving Netflix’s recommendation system

Skills you develop in this project:

Data Analysis and Interpretation: Data scientists must possess strong analytical skills to extract meaningful insights from complex datasets. This involves gathering, cleaning, and processing raw data, then applying statistical and machine learning techniques to uncover patterns and trends. Students will develop the ability to interpret these findings and use them to inform business decisions or solve real-world problems.

Technical Skills in Data Tools: In this project, students will learn to work with user-friendly tools like Tableau or MATLAB to visualize and analyze data. They will develop the ability to create meaningful charts, dashboards, and reports, making it easier to interpret data trends and communicate insights without needing to write code. These tools help students turn raw data into clear, actionable information for decision-making.

Critical Thinking and Problem Solving: Data scientists need strong problem-solving skills to design data-driven solutions to complex issues. This involves breaking down ambiguous problems into manageable components, selecting the appropriate algorithms or models, and continuously refining solutions based on feedback and performance metrics. Students will also learn to evaluate trade-offs between accuracy, speed, and complexity, ensuring their solutions are practical and scalable.

Benefits of membership (included with project):

Be Part of an Exclusive Community: Connect with like-minded students and build your network with future data leaders, industry mentors, and alumni from top data-driven companies. Start creating connections that will fuel your career early on.
Hands-On Industry Experience: Get a taste of what it’s like to work in top tech and data-driven companies. Learn directly from professionals who have worked at Google, Amazon, Microsoft, and more. Gain the real-world insights that will put you ahead.
Exclusive Discounts: Access discounted rates for top-tier courses in data science, coding, and interview preparation from our trusted partner companies. Get the skills and guidance you need to ace your future internships and job interviews.
Launch Your Future in Data: Whether you’re interested in AI, machine learning, or data analytics, the Lyghthouz Data Pioneers Club offers you the platform to explore, learn, and grow in the world of data science. This is your launchpad to a high-growth career!

Interesting Facts

High Demand: Data scientists are in demand across industries, solving critical problems with data-driven insights and helping businesses make better decisions.
Skill Development: Builds expertise in data analysis, machine learning, programming, and storytelling with data. Data scientists work in industries like finance, healthcare, retail, tech, and more.
Top Companies: Major employers include Google, Facebook, Amazon, Microsoft, and specialized firms like Palantir, Snowflake, and Databricks.
Competitive Pay: Entry-level salaries in data science range from €50,000-€75,000 in Europe and $90,000+ in the U.S. With experience, salaries can surpass six figures.
Global Mobility: Data science roles offer opportunities to work globally, especially with remote work options and projects across borders.
Career Path: A stepping stone to leadership roles in AI, machine learning, and business strategy or entrepreneurship in the tech and analytics sectors.
Data science offers rapid career growth, exciting challenges across industries, and significant earning potential for those passionate about technology and analytics.

Any doubt? Contact us

Develop Growth Strategy for Microsoft

October 29, 2024

by Lyghthouz Business & Management (+AI)

Cohort Start Date: 14th January 2025

Reserve your spot

Background

Microsoft, a global technology leader, has been at the forefront of innovation for decades. From its flagship Windows operating system to cloud computing services like Azure, and its growing portfolio of AI-powered solutions, the company has shaped how businesses and individuals use technology worldwide. However, with increasing competition from giants like Google, Amazon Web Services (AWS), and Apple, maintaining and growing Microsoft’s market share remains a challenge.

In this context, Microsoft is looking to enhance its sales growth across key product areas such as cloud services, productivity software (Microsoft 365), hardware (Surface devices), and emerging technologies like artificial intelligence (AI) and mixed reality. The company is particularly focused on increasing penetration in specific regions and industries, while adapting to the ever-evolving digital economy.

The Challenge

Reserve your spot

Week 1

SaaS Basics: What are SaaS companies and how they operate
Annual Report Overview: Role of annual reports, why companies issue them, and their importance for investors and stakeholders.
Key Elements in an Annual Report

Some Discussion Topics:

What are the growth challenges SaaS companies face?
Why are annual reports critical for strategy consultants?

Week Assignment:

Download and read the latest annual report from a public SaaS company (e.g., Salesforce, Zoom, Google, Microsoft or Shopify).
Identify three key elements in the report that show the company’s financial health or performance.

Week 2

SWOT Analysis: What it is, how it helps companies strategize growth, and why it’s crucial in the consulting process.
SaaS Market Trends: Understanding trends like cloud adoption, AI, remote work tools, and the shift to subscription models.

Some Discussion Topics:

What internal strengths and weaknesses might a SaaS company have?
What opportunities and threats do SaaS companies face in today’s market?

Week Assignment:

Conduct a SWOT analysis of the SaaS company chosen in Week 1 based on the annual report and research of industry trends.

Week 3

Strategic Recommendations: How to address weaknesses, leverage strengths, seize opportunities, and mitigate threats.
Growth Strategies: Discussion on product development, market expansion, customer acquisition strategies, and pricing.

Discussion Topics:

What would be the best way to address weaknesses identified in the SWOT?
How can SaaS companies stay competitive while expanding their customer base?

Week Assignment:

Develop three actionable recommendations based on your SWOT analysis that could help the SaaS company grow over the next 12 months.

Week 4

Presentation Best Practices: How to create clear, concise, and impactful presentations for consulting clients.
Effective Communication in Consulting: How to deliver information in a professional, persuasive manner and the importance of storytelling in presenting data.

Discussion Topics:

What makes a good consulting presentation?
How do consultants effectively communicate complex ideas to clients?

Week Assignment:

Create a 5-slide presentation summarizing the strategic recommendations developed in Week 3. Focus on clarity, simplicity, and impact

Week 5

AI in Consulting: Overview of how AI is being used in data analysis, automation of tasks, and forecasting trends in consulting.
AI Tools: Introduction to popular AI tools (e.g., Salesforce Einstein, ZoomInfo, and other data analytics tools).
Impact of AI in future

Discussion Topics:

How can AI make the strategy consulting process faster and more efficient?
What are the ethical considerations of using AI in consulting?

Week Assignment:

Research one AI tool that is used in consulting or business strategy and create 2 slides on how it can help a SaaS company grow.

Week 6

Presenting to a CEO: Tips on how to deliver a presentation to a business leader and respond to feedback
Learn Industry Best Practices
Reflection on Growth Strategy: How to assess the effectiveness of a strategy and make adjustments based on feedback

Discussion Topics:

What went well during the presentation? What could be improved?
How does feedback influence strategic planning?

Final Assignment:

Prepare and deliver a final project presentation (10 mins long) that includes:

Problem definition.
Approach taken to solve the case study, including how AI can help
Growth strategy recommendations for your chosen SaaS company.

Skills you develop in this project:

Analytical Skills: Management consultants need strong analytical skills to be able to understand complex business problems and develop effective solutions. This involves being able to gather and analyze data, identify patterns and trends, and use this information to make informed recommendations to clients.

Communication Skills: Effective communication is essential for management consultants to be able to convey their recommendations to clients and persuade them to implement changes. Management consultants must be able to present their findings and ideas in a clear and concise manner, and tailor their communication style to the specific needs of each client.

Problem-solving skills: Management consultants are hired to help clients solve complex business problems. This requires strong problem-solving skills, which involves being able to identify the root cause of a problem, develop potential solutions, and evaluate the pros and cons of each option to determine the best module of action. Management consultants must also be able to anticipate potential roadblocks and develop contingency plans to mitigate risks.

Benefits of membership (included with project):

Exclusive Network: Connect with a community of aspiring consulting leaders and grow your professional network from day one.
Learn from the Best: Gain insider knowledge by learning directly from alumni of top consulting firms like McKinsey, Bain, and BCG. Get real-world insights and tips that set you apart.
Stand Out in Interviews: Access tailored resources and mock interviews, preparing you to ace interviews at the world’s leading firms.
Discounted Learning: Enjoy special discounts on premium courses, certifications, and interview prep tools through our partner companies.
Real Consulting Projects: Work on hands-on consulting projects that develop critical thinking, strategy, and leadership skills while getting mentorship from industry experts.

Join the Lyghthouz Future Leaders Consulting Club and kickstart your consulting journey early!

Interesting Facts

High Demand: Consultants solve critical business challenges across industries.
Skill Development: Builds strategic thinking, leadership, and communication. Consultants work across various industries, including finance, healthcare, tech, and more. Top firms include McKinsey, Bain & Company, and BCG.
Competitive Pay: Entry-level salaries start around €60,000-€80,000 in Europe; $80,000+ in the U.S.
Global Mobility: Opportunities for travel and international projects.
Career Path: A launchpad to executive roles, entrepreneurship, or industry positions.
Management consulting offers rapid growth, diverse challenges, and strong earning potential for ambitious professionals.

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Product Research for Dementia Assistance App

July 14, 2019

by Lyghthouz Personalised 1:1 Menternships

Interested in contacting our student for admissions, scholarships, or other opportunity? Contact Lyghthouz to access parent's contact after your identity verification and parent's approval.

About
Aylen is a 17-year-old high school student and lives in Singapore. She is passionate about using technology to improve people’s lives while ensuring that the human element remains central. Whether it’s through innovative tech solutions or empathetic design, Aylen is driven to find ways in which technology can empower individuals without losing the personal touch. Outside of academics, she enjoys reading about human-centered design, exploring new technologies, and spending time with friends and family. Aylen believes that the future of innovation lies in the perfect balance between tech and human connection.

I highly recommend Aylen for her exceptional work on the Product Strategy for a Dementia Assistance App. She demonstrated outstanding creativity, analytical skills, and a strong commitment to positive social impact. Aylen conducted in-depth research on dementia care, innovatively integrating emerging technologies with a user-centric focus, ensuring accessibility for both elderly individuals and caregivers.

Her passion for leveraging technology to address healthcare challenges, coupled with her disciplined work ethic, makes her an excellent candidate for future academic or professional opportunities. I am confident she will continue driving meaningful innovation and making a lasting impact.

Aakriti Bhalla

Innovation Lead at Philips, Netherlands

PROJECT DETAILS

Product Strategy for ‘Dementia Pal’ – an app for making lives of patients & caretakers easier

Click Here For Full Presentation

RESEARCH FINDINGS

Key Learnings

Dementia patients struggle with performing basic tasks, such as remembering medication times or attending appointments, due to memory loss.
Caregivers, while dedicated, often face emotional exhaustion and stress, as they need to constantly monitor the health and well-being of the patients.
Current technological solutions are either too complex for elderly patients or don’t provide personalized support for caregivers.

PRODUCT NEEDS IDENTIFIED:

For Patients: They need a solution that is easy to use and can help them manage their day-to-day lives without adding stress.
For Caregivers: They need real-time updates on the patient’s condition and immediate alerts for any potential health concerns.

CONCLUSION

Significant progress in researching and identifying the key features of Dementia Pal was achieved.
This project taught the importance of user researching and also designing with empathy, especially when working with vulnerable populations.
Dementia Pal not only provides a solution for daily care management but also empowers patients and caregivers by offering them peace of mind.
The next steps identified by the mentee involve learning design tools to create digital mockups, conducting usability testing, and refining the app based on user feedback.

In Aylen’s own words: “I’m excited to continue developing this product and exploring more ways to use technology for social good”

Student's Feedback

I am deeply thankful for the guidance and support from my mentor during my dementia care innovation project. Her expertise in technology and healthcare was crucial, encouraging me to think creatively and empathetically. She offered valuable feedback and motivation while inspiring me with their passion for making a positive impact. This experience has truly shaped my perspective on using technology for social good. Thank you for an unforgettable mentorship.

Students Inspired by this Lyghthouz Mentor

Lyghthouz Europe

Riya Vyas

LyghtHouz Student

Mentor's Feedback

Manav Singh

Chief Commercial Officer, Ex-Bain & Company

PROJECT DETAILS

Digital Health Strategy for Medical Technology Giant (GE Healthcare)

PROJECT GOAL

CONCLUSION

Manav

LyghtHouz Mentor

Student's Feedback

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Improving Movie Recommendations for Netflix Using Data Science

Cohort Start Date: 5th February 2025

Background

The Challenge

What you receive

Weekly Curriculum

Week 1

Week 2

Week 3

Week 4

Week 5

Week 6

Skills you develop in this project:

Benefits of membership (included with project):

Unlock your potential as a future leader in Data & AI with Lyghthouz

Interesting Facts

Application Process

Step 1: Application

Step 2: Payment

Step 3: Details

Step 4: Join the Cohort

Develop Sales Growth Strategy for Microsoft as a Management Consultant

Cohort Start Date: 14th January 2025

Background

The Challenge

What you receive

Weekly Curriculum

Week 1

Week 2

Week 3

Week 4

Week 5

Week 6

Skills you develop in this project:

Benefits of membership (included with project):

Unlock your potential as a future leader in consulting with Lyghthouz

Interesting Facts

Application Process

Step 1: Application

Step 2: Interview

Step 3: Admission Decision

Step 4: Make Payment & Join the Cohort

Aylen Tan, 17yo

LyghtHouz Student

Mentor's Feedback

Aakriti Bhalla

Innovation Lead at Philips, Netherlands

PROJECT DETAILS

Product Strategy for ‘Dementia Pal’ – an app for making lives of patients & caretakers easier

RESEARCH FINDINGS

Key Learnings

PRODUCT NEEDS IDENTIFIED:

CONCLUSION

Aakriti

LyghtHouz Mentor

Student's Feedback

Ready to get your own passion project?

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