Ashish singh Negi

I’m a data science graduate with internship experience applying advanced analytical techniques to real-world problems. I focus on accuracy, quality checks, and translating complex data into clear, reliable reporting for business stakeholders.

In my Supply Chain internship at Licious, I automated a business-critical reporting pipeline using Apache Airflow, Trino SQL, and the Google Sheets API. This reduced manual reporting time by over 80% and delivered a real-time, accuracy-checked view of daily operational KPIs.

I also collaborated on a pilot real-time facial and uniform detection system using Python and OpenCV to automate attendance and dress-code verification at delivery hubs. Alongside that, I designed and automated an interactive Power BI dashboard by transforming an existing Excel-based variance monitoring system, integrating Power BI APIs with Python to verify and report supply chain discrepancies.

My research and projects reflect the same end-to-end mindset—clean data, robust modeling, and actionable outputs. I built predictive and survival analysis models for COVID-19 hospital outcomes, and I used NLP with topic modeling (LDA) to analyze product reviews, extracting sentiment, themes, and key patterns to guide improvement and marketing decisions.