Sales & Customer Behavior Dashboard
Interactive KPIs (orders, revenue, churn); segmentation & cohorts; live data integrations.
AI/ML • Analytics • GenAI • MLOps • Big Data
Over a year of hands-on experience in AI/ML and Generative AI, contributing to real-world projects in customer analytics, medical imaging, and test automation. Currently working with a funded FoodTech startup on a sales and customer behavior platform, with prior research experience at the Symbiosis Centre for Applied AI on real-time aerial and naval object tracking. Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate, skilled in Python, TensorFlow, PyTorch, SQL, and deployment tools, with a focus on delivering practical, data-driven solutions.
B.Tech in Artificial Intelligence & Machine Learning
Real-time aerial & naval object tracking for a gov. surveillance project; data collection & annotation at scale.
Python · Java · C · MySQL · MongoDB
ML · Deep Learning · CV · NLP · TensorFlow · PyTorch · Keras · scikit-learn · OpenCV · LangChain · MLflow · NumPy · pandas · Statistical Modelling
AWS · Docker · GitHub · Selenium · TestNG · PyTest
Power BI · Tableau · Plotly · Excel · PowerPoint
Interactive KPIs (orders, revenue, churn); segmentation & cohorts; live data integrations.
Autoencoder + Bi-LSTM + Attention; U-Net segmentation; 99.3% phase & 97.9% volumetric accuracy.
Automated hospital workflows; reduced manual testing time with robust TestNG suite.
Regression + LSTM models (85% accuracy); dashboards & MLOps pipeline (DVC, Docker, CI/CD, AWS).
Fine-tuned GPT-4o for Kundali & predictions; FastAPI backend + React frontend; deployed on Vercel.
Reinforcement Learning with DQN & Dueling DQN; 30% revenue lift vs rule-based; FastAPI backend + React dashboard.