A Computer Science Engineer with a deep love for data, patterns, and what they reveal.
I sit at the intersection of Data Science, AI/ML, and Computational Biology - curious about systems at every scale, from environmental sensors to microbial genomes.
- π¬ Currently working on novel species identification from extreme environments using genomics & ML
- π Experienced in building end-to-end data pipelines and interactive dashboards
- π± Always learning - recently explored deep learning, phylogenetics, and automated bioinformatics workflows
- π― Actively looking for opportunities in Data Science / Analytics / ML Engineering
- β‘ Fun fact: I can find a story in any dataset - give me one and let's see!
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Automated bioinformatics pipeline for identifying and characterizing novel microbial species from extreme environments (ISS, ILMAH). Uses phylogenomics, ML-based classification, and metabolic modeling.
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CNN-based system to classify dermatologic images as Melanoma / Non-Melanoma with 95.4% accuracy. Analyzed color, texture, size & perimeter features using Flask for deployment.
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Interactive Power BI dashboard visualizing PM2.5, PM10, NOx trends across regions with dynamic filters. Preprocessed datasets in Python and embedded into a Streamlit web app.
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Multi-modal AI system combining computer vision, speech processing, and NLP to detect user emotions in real time with a GUI interface.
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Forecasting tool for cryptocurrency price prediction using LSTM, ARIMA & Prophet with interactive dashboards.
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Hardware-software system for remote home appliance control via Android app and IR remote using ESP32 & Arduino. Won 5th prize at SPCon23.
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- π NPTEL Discipline Star 2024 - Academic Excellence
- π€ NVIDIA - Getting Started with AI on Jetson Nano
- βοΈ Google Professional Certificate - Business Intelligence & Python
- β Wipro TalentNext - Java Full Stack
- π Infosys Springboard - Power BI & Data Analytics Foundation
- βοΈ AWS Academy - Cloud Foundations
- π‘ NPTEL - Distributed Systems (Gold + Elite)
