Krish Naik

I’m a detail-oriented BBA in Business Analytics fresher (MIT-WPU, expected Jun 2026) building toward a high-impact career in data analysis and data science. I go beyond the classroom by independently exploring ML, NLP, and data engineering through hands-on projects, and I bring a “turn raw data into decisions” mindset to every dataset I touch.

I’ve published research and applied it to real-world markets—co-authoring an op-ed in Telangana Today (Jan 2026) on behavioural finance and youth investor risk using NSE, SEBI, RBI–NCFE, and AMFI datasets. In parallel, I built an end-to-end stock analytics and recommendation pipeline with ensemble models and NLP sentiment analysis, reaching a backtested Sharpe Ratio of 0.74, and I engineered ETL workflows in Python that cut manual processing time by 75%. I also communicate insights through Power BI dashboards and Streamlit apps, and I’ve gained professional analysis experience as a Business Analyst Intern and as a Community Research Lead.