Pratishtha Attri

Statistics graduate (Hons. with Research) and a minor in Computer Science (Hons) at the University of Delhi with hands-on experience building classical ML models and working with LLM-based tools to analyze large datasets in Python and querying in SQL to draw data driven and actionable business insights, then communicating findings clearly through dashboards and reports. Advanced in Excel and Tableau/Power BI, with real experience defining metrics and requirements from ambiguous problems and translating analysis into recommendations for senior stakeholders.

DMA Intern at NITI Aayog (2025-06 – 2025-07)

Data Management & Analytics Division

• Queried and analysed datasets using SQL and Python to identify trends and patterns in NFHS-4 and NFHS-5 health and demographic data, surfacing a 26-point rise in women's bank/savings account ownership and a 34-point increase in family planning use in Bihar, then prepared reports and presented findings to senior leaders
• Applied a structured, hypothesis-driven approach to break down usability gaps across NDAP and the Women Entrepreneurship Platform (WEP), logging 12 JIRA tickets and delivering 12 MECE-categorized, actionable UX/feature recommendations, then prototyping fixes in Figma
• Cleaned, standardized and mapped government datasets across 8+ sectors, including climate vulnerability and water access, on NDAP, building statistical visualisations (correlation matrices, scatter plots, choropleth maps) using NDAP's built-in tools alongside R, Python, Excel and Power BI to surface cross-sector insight

Data Entry & Research Intern at ThenX (2023-09 – 2023-11)

• Cleaned and validated 5,000+ rows of data in Excel, cutting downstream processing time by 15–30% while maintaining 99% data accuracy; cross-checked entries against source documentation to identify and resolve discrepancies before reporting, supporting a reliable MIS/tracking framework
• Acquired pricing data from primary e-commerce sources (Blinkit, BigBasket), tracking and comparing product pricing discrepancies, then compiled findings into structured Excel reports to support pricing and sourcing decisions

B.Sc. (Hons. with Research) in Statistics, with a minor in Computer Science – Shaheed Rajguru College of Applied Sciences for Women, Delhi University (2022-11 – 2026-07)

CBSE (XII) in Commerce – St Mark's Girls Sr Sec School (2020-04 – 2022-07)