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I turn raw data into useful insights and build practical data-driven applications. My work spans data analysis, statistical thinking, machine learning, deep learning and Python-based web development.
I am building my career in Data Science and Analytics, with a foundation in Python, SQL, statistics, data visualization and application development. I enjoy investigating datasets, communicating patterns and translating analytical work into usable applications.
My projects combine exploratory data analysis, machine learning, deep learning and Django-based development. I focus on reproducible workflows, meaningful evaluation and explaining what a model can—and cannot—tell us.
Imarticus Learning, Chennai
Guru Nanak College (Autonomous)
FemtoSoft Technologies
Guru Nanak College (Autonomous)
Selected work across sports analytics, predictive modelling, business applications and data-driven web development.
Python • Django • MySQL • Pandas • Scikit-learn • TensorFlow / Keras
An integrated cricket analytics and player-performance prediction platform. It combines historical player and match exploration with separate machine-learning and deep-learning inference workflows in a modular Django application.
managed=False.Python • Pandas • Machine Learning • GridSearchCV • Power BI
An end-to-end data science project focused on predicting crowd density from sensor, spatial, event, and movement data, followed by model evaluation, optimization, prediction, and Power BI visualization.
Python • Django • MySQL • Bootstrap • ReportLab
Django • HTML/CSS • SQL • Bootstrap
Official Documentation: