Business Analyst & Consultant. MS Business Analytics @ UMass Amherst (GPA 3.9). 3 years delivering data-driven decisions for Fortune 500 clients at Cognizant.
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I'm a Business Analyst and aspiring Consultant who believes the hardest part of any project isn't the analysis — it's figuring out what question you're actually trying to answer.
At Cognizant, I worked at the intersection of data, operations, and stakeholder communication for one of the world's largest insurance companies. Impact doesn't come from dashboards alone — it comes from the clarity you bring to a room full of decision-makers.
Now completing my MS in Business Analytics at UMass Amherst's Isenberg School, where I've deepened my skills in machine learning, financial modeling, and strategic analysis — building the toolkit that modern BA and consulting roles demand.
Actively targeting BA and Consulting roles where ambiguous problems need sharp, structured thinking.
I define the right problem before chasing solutions — the most underrated consulting skill.
SQL, Python, Tableau — from raw data to insight without hand-waving.
I translate technical findings into boardroom-ready narratives for non-technical audiences.
3 years coordinating across engineering, ops, and business teams in enterprise environments.
Out of 30,000 cardholders, which ones will stop repaying next month? Banks write off billions annually to defaults they saw coming — but acted on too late. I built a classification model to flag high-risk customers before they default, giving credit teams a data-backed early warning system.
Across 150,000+ guest reviews, are Airbnb hosts in Rhode Island pricing their listings based on what guests actually experience — or just what they wish they were worth? I used VADER sentiment analysis to score review tone by listing, then mapped those scores against pricing tiers to surface where hosts are overcharging relative to guest satisfaction.
Block Inc. runs two very different bets simultaneously — a consumer payments app (Cash App) and a Bitcoin treasury strategy. Does combining fintech scale with crypto exposure make Block stronger or more fragile? I analysed ~10,000 Google Play reviews with VADER, benchmarked Block's revenue streams against competitors, and assessed the $255M regulatory penalty impact on long-term positioning.
Radiologists miss roughly 4% of brain tumors on first read — can a model trained on labeled MRI scans catch what a tired human eye misses? I built a Convolutional Neural Network classifier to distinguish tumor-positive from tumor-negative MRI images, focusing on minimising false negatives where the cost of error is highest.
Gold moves on fear, inflation, and dollar strength — but which macroeconomic signals actually predict its price, and how far ahead can you see? I tested whether a combination of treasury yields, USD index, oil prices, and market volatility could reliably forecast short-term gold price direction using regression and time-series models.
Looking for BA and Consulting roles from May 2026. If you have a complex problem and need structured thinking — let's talk.