B.Tech CSE (AI) graduate building predictive models, cleaning messy datasets, and shipping dashboards that businesses actually use — with Python, SQL, and Power BI.
I'm a Data Science graduate based in Shahjahanpur, Uttar Pradesh, currently finishing my B.Tech in Computer Science & Engineering (Artificial Intelligence). I work across the full pipeline — from cleaning and exploring raw data, to training and validating machine learning models, to packaging results into dashboards that non-technical stakeholders can actually act on.
My core toolkit is Python, SQL, Power BI, and Excel, and I've applied it through two remote internships plus a set of self-driven projects covering retail analytics, e-commerce KPIs, and automated data cleaning.
I care about accuracy over flash — a model or dashboard is only useful if the numbers behind it are trustworthy.
Pull raw data from SQL, APIs, or flat files.
Handle nulls, outliers & inconsistent formats.
EDA to find patterns worth modeling.
Train, tune & validate ML models.
Ship dashboards & reports stakeholders use.
AI-powered Streamlit dashboard analyzing 10,000+ retail records to identify sales trends with predictive accuracy.
Automated data-cleaning pipeline that cut manual preprocessing time by 40% while achieving 95% data accuracy.
Dashboard analyzing e-commerce sales, customer behavior, and KPIs, using EDA to surface actionable business trends.
An AI-driven project applying machine learning to agricultural data for smarter, data-backed farming decisions.
Extending my ML foundation into applied Generative AI — prompt-driven data workflows, retrieval-augmented analysis, and using LLM APIs to accelerate EDA, reporting, and automated insight generation. This is a current learning focus, not a listed job role, and I'm expanding it project by project.