Shijin Ramesh
Ex-Ed Tech Founder | Product Manager | Data Scientist | ML Engineer | Operations & Business Management
Hi, I’m Shijin Ramesh!
I am someone who has built things from the ground up and taken responsibility for them end to end.
Over the last 11.5+ years, I have worked across technology, education and creative fields. I began my career in IT services and later built my own education startup from scratch. That journey taught me how ideas turn into real systems, how teams and users behave in real life and how decisions directly affect outcomes.
I have designed products, launched programs, managed operations, worked with data, handled marketing and finances and stayed accountable when things worked and when they did not. Building a company taught me discipline, clarity and the importance of solving real problems instead of chasing titles or trends.
Today, I work with data, analytics, machine learning and AI to understand problems better and make informed decisions. I use tools like Python, SQL, Power BI, R and machine learning libraries to analyze data, find patterns and build practical solutions. My focus is always on usefulness, clarity and impact rather than complexity.
What defines my work is reliability. I take ownership, learn quickly, adapt when needed and stay committed to seeing things through. I enjoy roles where I can think deeply, execute consistently and contribute in a way that creates long-term value for people and organizations.
I am motivated by meaningful work and believe that technology, data and education can be powerful tools when used with responsibility and intent.
IDALS was a subscription-based online learning platform built to solve a core problem in remote dance education: helping learners practice effectively without physical studios. The key product differentiator was a custom video player designed specifically for skill-based learning. It offered features such as front view, back view, mirror view, speed control, section-based navigation, and self-view. Each feature was built to address real learning challenges observed through user feedback and behavior.
The platform was launched on 2 November 2020 and operated until 31 August 2025. I owned the product end to end, including product design, feature planning, execution, analytics, marketing, and operations, while working with a small team of three. Over its lifecycle, the platform scaled to more than 14,000 users and generated over ₹65 lakhs in revenue across online and offline offerings, even during the post-COVID slowdown. Product decisions were driven by data, continuous user feedback, and clear business outcomes, with a strong focus on engagement, retention, and sustainable growth.
Projects

Cloud Cost Anomaly Detection & Forecasting
Health Insurance Premium Prediction
Domain: Insurance
Customer Credit Risk Prediction
Domain: Finance & Banking
Domain: IT

Invoice-Payment Reconciliation Project
Domain: IT
A/B Testing - Facebook Ads vs. Google AdWords
Ed-Tech EDA & Predictive Modeling
Domain: Ed-Tech
Domain: Marketing
Consumer Behavior Shopping Habits
Domain: Retail
Educational Disparity Disabled Population
Netflix EDA & Predictive Modeling
Domain: Media
Domain: Government Census






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