Dhwani Jain

HUM Nutrition · Los Angeles, CA

• Delivered a data-driven commercial growth strategy to client leadership, analyzing 3+ years of HUM Nutrition's Target Corp sales and consumer demand to uncover GLP-1's rise to 56% of monthly sales.
• Evaluated growth through analysis of sales patterns, finding select promotions that drove sales to a 33% lift - informing marketing decisions.
• Automated HUM Nutrition's weekly ULTA Beauty sales reporting into a self-updating omnichannel dashboard (Google Apps Script, Excel) - tracking sell-through, inventory, and forecasting across SKUs, in-store, and e-commerce - cutting 3 hours/week of manual work.
• Backfilled and validated 25 weeks of SKU and channel-level ULTA sales data and built pace-to-plan forecasting against an annual sales goal.

DecisionNext · San Francisco, CA

• Built 24+ automated ETL pipelines in Python ingesting trade, water, and satellite data from 15+ sources across REST APIs, web scraping, and PDF parsing - standardizing all outputs into a self-archiving schema.
• Led a regression analysis to identify the drivers of Australian rice supply, testing 6 variables across 8 months against two targets using correlation analysis, multi-model OLS regression, and year-over-year detrending.
• Synthesized findings into a stakeholder presentation proposing a forecasting approach to close the benchmark model's 50%+ error.

Scorpio Tankers · Greenwich, CT

• Delivered LNG bunkering vessel investment pitch, leveraging maritime datasets and scenario-based financial models to support strategic capital allocation; presented recommendations to 30+ stakeholders.
• Built a predictive risk model using Prophet to forecast vessel incidents; authored a high-visibility report, flagging operational risks.
• Performed on-site fieldwork aboard STI Modest, observing vessel operations and leveraging firsthand data to strengthen model outputs.

Digital Veterans Legacy Project · Los Angeles, CA

• Leading research on biographical information for Veterans Interred at Los Angeles National Cemetery.
• Curating biographies that are uploaded to Veterans Legacy Memorial Website.
• Presented research at LMU's Undergraduate Research Symposium, showcasing findings to the broader research community.

GeoServe Energy Transport DMCC · Dubai, U.A.E.

• Completed the "Building a Database Agent" course on DeepLearning.AI, enhancing data sorting and analysis capabilities.
• Leveraged PowerBI for validating UAT data within operations dashboards and performed detailed KPI analysis for bunker sales.
• Conducted SEO analysis for Geoserve's verticals and competitors to increase online visibility.

End-to-end Consumer & Market Insights pipeline and Streamlit dashboard surfacing product whitespace for Lancôme from 600,000+ Sephora reviews.

• Built an end-to-end Consumer & Market Insights (CMI) pipeline; deployed Streamlit dashboard to identify product whitespace opportunities for Lancôme from over 600,000 Sephora reviews.
• Detected and classified consumer desire/need language across 5,951 Lancôme specific reviews into 9 consumer need themes using SQL and regex.
• Automated weekly data pipelines via GitHub Actions and built an LLM-queryable brand knowledge base from 19 scraped sources.

First place out of 150+ participants from 18+ universities, analyzing the impact of meal break regulations on EMT operations.

• Competed against 150+ participants from 18+ universities.
• Automated weekly data pipelines via GitHub Actions and built an LLM-queryable brand knowledge base from 19 scraped sources.
• Analyzed the impact of meal break regulations on EMT operations using Python, SQL, and Excel; presented findings to 10+ industry judges.

Finalist at Manhattan University's Business Analytics Competition 2026; NLP severity classifier and event-study model linking vehicle recalls to abnormal stock returns.

• Competed against 100+ participants from 21+ universities nationwide.
• Analyzed 18,000+ NHTSA vehicle recalls records (2000-2025); built an NLP severity classifier and event-study model linking recall intensity to abnormal stock returns across 15+ global OEMs.
• Presented real-time investment signals and a back tested buy/avoid framework under live new-data conditions to industry judges.

Bachelor of Science, Information Systems and Business Analytics, minor in Computer Science

Coursework: Network Cloud Computing, Systems Analysis Design, Computer Systems Organization, Data Structures and Applications, Database Management Systems, Developing Business Applications using SQL, Computer Programming, Computer Graphics

International Baccalaureate Diploma