MBA – Data Science & Analytics | AI & LLM Enthusiast. Passionate about building intelligent, data-driven solutions using Python, MongoDB, and visualization tools to turn complex data into actionable insights.
I'm a Data Science & Analytics MBA grad with a deep obsession for AI, LLMs, and machine learning systems. I bridge the gap between raw data and real-world impact — from designing deep learning pipelines to crafting data-driven products that scale.
My toolkit spans the full ML lifecycle: data wrangling, model training, deployment, and visualization. I believe the best AI solutions are interpretable, efficient, and genuinely useful.
Built a real-time facial classification system using CNN, TensorFlow, and OpenCV to identify individuals via live webcam input. Engineered for accuracy and speed in a production-like environment.
Developed an end-to-end NLP pipeline to classify customer reviews by sentiment and surfaced actionable insights through interactive Power BI dashboards for business decision-making.
Created a hybrid recommendation engine combining collaborative and content-based filtering to deliver personalized movie suggestions, improving discovery accuracy significantly over baseline models.
Designed an energy-efficient IoT healthcare monitoring system leveraging data compression techniques for wireless sensor networks, balancing real-time patient data accuracy with bandwidth constraints.
Open to collaborations, research projects, and full-time AI/ML roles. Let's turn your data into intelligence.