About
I am an MSc Data Science student with a strong foundation in Computer Science, focused on building practical, end-to-end data and AI solutions. I work with Python, SQL, statistics, machine learning, deep learning, and business intelligence tools to convert raw data into actionable insights. My experience spans finance, healthcare, e-commerce, and AI-driven products. Key projects include: • Stock price prediction using machine learning and time-series analysis • Diabetic retinopathy detection using deep learning (CNNs) • Flipkart customer sentiment analysis with NLP, MLflow, and FastAPI deployment • AI-driven systems such as VirtueWearAI and GenerativeCodeAI • Business dashboards using Power BI and Tableau (Amazon sales, heart disease, student engagement) I have hands-on experience across the full data lifecycle — data ingestion, cleaning, EDA, modeling, evaluation, visualization, and business recommendations. I am actively seeking entry-level roles or internships in Data Analytics, Data Science, or AI/ML where I can apply analytical thinking, technical skills, and problem-solving to real-world business challenges. Open to full-time roles, internships, and off-campus opportunities.
