Bhubaneswar, Odisha, India
I’m a Data Scientist skilled in Python, SQL, and Machine Learning, with hands-on experience turning raw data into actionable insights and deployable models. During my internship at AI Variant, I worked on end-to-end predictive modeling pipelines—from EDA and feature engineering to model deployment—delivering data-driven insights that improved analytical efficiency by 30%. I’ve also mentored 300+ students as a Data Analysis Teaching Assistant at Coding Ninjas, guiding them through Python, SQL, and real-world analytics projects. My projects include building forecasting systems for Apple stock price prediction and solar power generation optimization, leveraging SARIMA, Random Forest, and Gradient Boosting to achieve high accuracy and interpretability. I’m passionate about applying data science to solve real-world business challenges in domains like finance, renewable energy, and e-commerce. Always open to opportunities that push me to learn, build, and create measurable business impact through data. Tech Stack: Python | SQL | Power BI | Tableau | Pandas | Scikit-learn | NumPy | Matplotlib | Streamlit | Machine Learning | Data Visualization | Forecasting | EDA