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Subrite Sarker

@subritesarker

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I turn data into business insights using Python, SQL, Tableau, and machine learning.

Bangladesh

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What I'm looking for

I'm looking for an entry-level data role where I can use Python, SQL, Tableau, and machine learning to analyze data, build dashboards, solve business problems, and grow through practical project work.

I've built data projects spanning Netflix and IMDb analysis, occupancy prediction, and deep-learning-based physical rehabilitation score prediction. My work combines Python, SQL, Tableau, Excel, and machine learning to turn datasets into usable insights.

For IMDb-Netflix analysis, I cleaned and merged datasets, answered business questions with SQL, and created an interactive Tableau dashboard with KPIs and filters. I also built a PostgreSQL database and used JOINs, CTEs, window functions, aggregates, and CASE statements to analyze content trends, genres, ratings, runtime, and release years.

My rehabilitation research evaluated LSTM, 3D-CNN, and Conv3D models on exercise-video data, with the Conv3D hybrid performing best across most classes. In an occupancy detection project, I achieved 99.32% accuracy with Random Forest and 99.37% with KNN.

Experience

Work history, roles, and key accomplishments

Research Assistant

Stamford University Bangladesh

Nov 2022 - Dec 2024 (2 years 1 month)

Conducted research on physical rehabilitation score prediction using deep learning models including LSTM, 3D-CNN, and Conv3D. Collected and analyzed video data, applied models, and evaluated performance using RMSE, MAD, and MAE.

Python Machine Learning Deep Learning Data Analysis Model Evaluation