🚀 I'm a Master's student in AI and Chemical Engineering with a focus on data science, data engineering, and machine learning. With hands-on experience using PySpark, PostgreSQL, and Python, I'm skilled in handling large datasets, building scalable data pipelines, and deriving meaningful insights.
🔍 Currently open to internship opportunities, I’m eager to apply my expertise in Spark DataFrames, ETL processes, and ML workflows to tackle complex, real-world challenges. Let’s connect if you’re working on innovative data-driven projects!
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NSL KDD Classification with ML Models
- Leveraged Decision Tree and Logistic Regression models on NSL-KDD dataset, achieving a test accuracy of 75%.
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F1 Race Data Analysis (1950-2024)
- working on analysing decades of F1 race data to explore patterns in winning strategies, driver performances, and team evolution.
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RuO2-Based Ink Experimentation
- Implemented drop-casting techniques with an optimized ink preparation process, achieving a 75% improvement in experimental outcomes.
- Role of Non-Covalent Interactions on Acid Strength Measurement of Liquid Acids using Phosphine Oxide NMR Probe, Chemistry Select journal, Co-authored with Dr. Sanjay M. Mahajani, Ojus Mohan, and others.
