Master's Student in Data Science @ Arizona State University (Class of 2026) 🧠 Machine Learning · NLP · GenAI Systems · IIT Roorkee 📍 Tempe, Arizona · 🔎 Actively seeking Full-Time DS / ML / AI roles
I'm a data scientist in training with a passion for turning real-world complexity into structured, actionable insights.
My journey began at IIT Roorkee, where I built a strong foundation in analytical thinking. Since then, I've worked on pricing models, time series forecasting, and financial analytics at the enterprise level, learning how to use data to solve high-stakes business problems.
At Arizona State University, my focus is on machine learning, big data systems, and building personalized AI agents that adapt to human behavior. I enjoy work that blends statistical modeling, practical intuition, and clean execution.
If it involves messy data, thoughtful modeling, and clear storytelling — I'm all in.
Programming & Databases
Data & Machine Learning
NLP & LLM Systems
Cloud & MLOps
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End-to-end retail sales forecasting pipeline with DVC, MLflow, AWS (RDS, Glue, SageMaker, EKS), Docker, and CI/CD. Tree-based models: LightGBM, XGBoost, CatBoost.
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Fine-tuned LLMs (LLAMA2, LLAMA3.2, Mistral-7B) for personalized recipe generation using QLoRA. Achieved 96% precision and BLEU 0.52.
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Capstone project — end-to-end data science and machine learning system for open-source intelligence investigation and analysis.
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AI-powered memory assistant built during a hackathon. Features retention tracking, semantic memory, and proactive learning insights.
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NLP-based text classification using TF-IDF, linear models, and ensemble techniques — with systematic evaluation to identify real disaster tweets.
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Analyzed 150K+ Yelp reviews to extract insights about Arizona restaurants and user behavior using Apache Spark and PySpark for distributed processing.
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I'm always open to conversations about ML, AI research, data-driven products, and full-time opportunities in Data Science · ML Engineering · AI Engineering.
