071 Abhinav

I am a versatile Machine Learning Engineer and Data Analyst focused on turning data into actionable insights through predictive modeling, automation, and intuitive dashboards.

My hands-on experience includes building models with Scikit-learn, XGBoost, and Random Forest, performing thorough data cleaning and EDA, and evaluating models to improve accuracy. I routinely use Python, Pandas, NumPy, Matplotlib, and Seaborn in my workflows.

I have developed practical applications such as a Firebase and face-recognition attendance tracker, an AI Portfolio Assistant that leverages LLMs and prompt engineering, a MERN-stack task manager with JWT authentication and real-time updates, and a multimodal house price predictor combining CNNs with tabular data.

I collaborate well in teams, communicate clearly, and prioritize building reliable, production-ready solutions. I am driven to apply ML and data analysis to solve real-world problems and help organizations make data-informed decisions.