At StratLytics Consulting Pvt. Ltd., I develop end-to-end machine learning pipelines using Python and TensorFlow for predictive analytics and business intelligence. I also automate data preprocessing and feature engineering workflows with Docker.
Before my current role, I worked as a Data Analyst Intern at StratLytics Consulting Pvt. Ltd., where I built Python-based data pipelines and supported machine learning model development for analytics projects.
For my Non-Intrusive Load Monitoring project, I developed a deep learning system to disaggregate appliance-level energy use from aggregate household power data. I engineered time-series features and built preprocessing pipelines for LSTM-based appliance state prediction.
I also developed a LinkedIn post generator using LLaMA and Hugging Face Transformers, with prompt engineering for context-aware content and an interactive Streamlit interface.
