Currently pursuing a Post-Graduate Diploma in Big Data Analytics (PG-DBDA) at CDAC-ACTS, Pune. I specialize in building ML pipelines and analyzing massive datasets.
- Languages: Python (Pandas, NumPy, Scikit-Learn, MLFlow, Optuna, Py-Torch, Sktime, Imblearn), Java, R, Shell Scripting
- Big Data: Apache Spark (PySpark), Hadoop, Hive, Kafka
- Databases: SQL (MySQL), NoSQL (MongoDB, Cassandra)
- AI/ML: CNNs, DNA-Net, Signal Processing, Time Series, XGBoost, LightGBM, CatBoost
- Tools: Git, Linux, Tableau
- PG-DBDA Capstone: Financial Infrastructure Load Prediction
- Tech: PySpark, Hadoop, Hive. Predictive pipeline for bank transaction volumes.
- DRDO Research Intern: Infrared Small Target Detection
- Tech: PyTorch, DNA-Net. Developed high-precision computer vision models for defense applications.
- B.Tech Capstone: AI-Synthesized Voice Detection
- Tech: Librosa, CNN. Achieved 95.76% accuracy detecting deepfakes using OpenSLR/AI4Bharat.
"Data is the new oil, but only if you know how to refine it."
