Passionate about transforming data into actionable insights. Currently pursuing BS in Data Science from IIT Madras with hands-on experience in ML pipelines, deep learning, and scalable applications.
I'm a detail-oriented and passionate Data Scientist with strong foundations in statistics, machine learning, and algorithmic problem-solving. Currently pursuing a BS in Data Science Applications from IIT Madras, I have experience developing end-to-end ML pipelines, performing exploratory data analysis, and deploying scalable applications.
My expertise spans across various domains including anomaly detection, time series forecasting, and deep learning. I'm proficient in Python ecosystem tools and have demonstrated ability to translate complex concepts into accessible insights through my teaching and content creation roles.
I'm eager to contribute to data-driven decision-making in dynamic, innovation-focused teams and continue pushing the boundaries of what's possible with data science.
NLP pipeline for classifying the geographical origin of ancient inscriptions. Implemented TF-IDF + SVM baseline, and fine-tuned Transformer models including XLM-RoBERTa, DistilRoBERTa, and Ancient-Greek-BERT. Experimented with PEFT techniques (LoRA) and optimized for Macro F1 in constrained Kaggle environment.
Machine learning pipeline to predict customer conversion using supervised learning models. Comprehensive EDA and feature engineering with model comparison and optimization.
Building artificial neural network from ground up using Python and NumPy to understand forward/backward propagation algorithms with implementation of key components and testing on benchmark datasets.
ML model to predict equipment energy consumption in smart manufacturing using sensor data. Analyzed multivariate time-series data to enable operational efficiency and cost savings.
Full-stack multi-user library system with role-based access control, e-book management, and advanced analytics. Winner of Best Project Award for exceptional design and functionality.
Advanced Tic-Tac-Toe with nested boards and strategic AI gameplay. Features interactive UI with animations, sound effects, and responsive mobile-friendly interface with celebratory effects.
End-to-end data pipeline creation and analysis for real-world business problem. Delivered actionable recommendations through comprehensive data analysis and stakeholder presentation.
I'm always open to discussing new opportunities, collaborations, or just having a chat about data science and technology. Feel free to reach out!