Open to BA & Consulting Roles · May 2026

I turn messy data into decisions that actually matter.

Business Analyst & Consultant-in-training. MS Business Analytics @ UMass Amherst (GPA 3.9). 3 years shaping data-driven decisions for Fortune 500 clients at Cognizant.

3.9
GPA · UMass
3+
Years Enterprise
F500
Clients Served
2×
IEEE + Springer
5
Analytics Projects
Nishant Chaudhari — Business Analyst
Nishant Chaudhari
About Me

I ask the right questions
before crunching the numbers.

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 analytical toolkit that modern BA and consulting roles demand.

Actively targeting BA and Consulting roles where ambiguous problems need sharp, structured thinking — and someone who can communicate the answer without jargon.

🎯

Problem Framing

I define the right problem before chasing solutions — the most underrated consulting skill.

📊

Data-Driven Analysis

SQL, Python, Tableau — raw data to insight without hand-waving.

💬

Executive Communication

I translate technical findings into boardroom-ready narratives for non-technical audiences.

Cross-Functional Delivery

3 years coordinating across engineering, ops, and business teams in enterprise environments.

My Approach

How I work through
any business problem.

STEP 01
🔍

Discover & Frame

Stakeholder interviews, requirements gathering, problem decomposition. Most projects fail here — not in the analysis.

STEP 02
🧹

Collect & Prepare

SQL querying, ETL, data cleaning. Clean data isn't optional — it's the foundation everything else stands on.

STEP 03
💡

Analyze & Model

EDA, statistical analysis, ML modeling. The goal is the non-obvious insight hidden in the pattern.

STEP 04
🚀

Recommend & Act

Clear, decision-ready recommendations with measurable outcomes. Analysis without action is just trivia.

Case Studies

Problems I've solved,
and what I found.

Credit risk analysis
Financial Risk · ML
01 / 05 Finance

Who's going to default? Predicting credit card risk with machine learning

Problem
Banks lose billions to unpredicted defaults
Approach
Classification models on 30K+ customer records
Outcome
High-accuracy risk segmentation model
PythonScikit-learnLogistic RegressionRandom ForestEDA
Airbnb pricing analysis
Market Research · NLP
02 / 05 Consulting

What are guests really saying? Sentiment-driven pricing insights for Airbnb

Problem
Do prices reflect actual guest experience quality?
Approach
VADER sentiment across 10K+ reviews × pricing data
Outcome
Pricing mismatch patterns across segments
PythonVADER NLPTableauData Storytelling
Fintech strategy
Strategy · Fintech
03 / 05 Consulting

Is Block Inc.'s hybrid fintech bet paying off? A strategic deep-dive

Problem
Assess viability of Block's Bitcoin + payments strategy
Approach
Revenue stream analysis, competitive benchmarking
Outcome
Board-style strategic recommendations deck
Financial ModelingExcelPower BICompetitive Analysis
Healthcare AI
Healthcare · Deep Learning
04 / 05 Healthcare

Can AI read MRI scans? Brain tumor detection with CNN

Problem
Scalable, accurate early tumor detection
Approach
CNN model trained on labeled MRI image dataset
Outcome
High classification accuracy on holdout test set
PythonTensorFlowCNNComputer Vision
Gold price forecasting
Finance · Forecasting
05 / 05 Finance

Can macro signals predict gold prices? A time-series forecasting model

Problem
Gold is volatile — is it actually predictable?
Approach
Time series + regression on macroeconomic indicators
Outcome
Reliable short-term price movement model
PythonTime SeriesScikit-learnFinancial Indicators
Work History

Enterprise impact
at real scale.

Cognizant — Analyst
Cognizant — Intern
Research + Mentorship

Programmer Analyst

Cognizant · Client: Chubb Inc. (Fortune 500 Insurance)
Sep 2022 – Nov 2024
Insurance Operations · IBM BAW/BPM · Production Support · Data Analysis · Stakeholder Communication
40%
Workflow Speed ↑
25%
Query Speed ↑
30%
Downtime ↓
15%
Recon Errors ↓
  • Mapped end-to-end claims and policy lifecycle processes — identified bottlenecks that drove a 40% reduction in workflow processing time
  • Optimized SQL schemas for financial reporting, delivering 25% faster query performance and 15% fewer reconciliation errors across insurance operations
  • One of few team members with privileged DB access on live production systems serving Fortune 500 client — trusted for high-stakes data operations
  • Led cross-functional incident resolution across middleware, database, and application teams with strict SLA adherence — stakeholder coordination under pressure
  • Redesigned monitoring workflows that reduced system downtime by 30%, validating solutions against business requirements in both dev and production environments

Programmer Analyst Intern

Cognizant · Financial Services Division
Mar 2022 – Aug 2022
Financial Services · SQL Reporting · Agile Delivery · Performance-Evaluated Program
  • Improved data accessibility by 20% through SQL reporting initiatives — performance strong enough to earn a full-time conversion offer
  • Developed process documentation and workflow models for financial services projects in a rigorous, performance-evaluated environment
  • Accelerated cross-functional team delivery by 15% through proactive Agile collaboration

Research Author + AI Mentor

IEEE · Springer · Volunteer Program
2021 – 2024
Peer-reviewed Research · ML Applications · AI Literacy · Community Impact
Capabilities

What I bring
to the table.

💻Analytics & Programming
SQLAdvanced
Python (Pandas, NumPy, Sklearn)Proficient
Excel / Power QueryAdvanced
StreamlitWorking
📈Visualization & BI
TableauProficient
Power BIProficient
Data StorytellingStrong
🤖Machine Learning & Stats
Classification ModelsProficient
NLP / Sentiment AnalysisWorking
Statistical AnalysisStrong
Deep Learning (CNN)Exposure
🤝Business & Consulting
Requirements GatheringStrong
Stakeholder CommunicationStrong
Process Mapping / BPMProficient
Strategic AnalysisDeveloping
Education

Where I learned
to think analytically.

MS Business Analytics

Isenberg School of Management, UMass Amherst
Jan 2025 – May 2026
⭐ GPA 3.9 / 4.0

B.Tech Electrical Engineering

MIT – World Peace University (MIT-WPU), Pune
2018 – 2022
⭐ GPA 9.3 / 10
Let's connect

Got a problem
worth solving?

Looking for BA and Consulting roles starting May 2026. If you have a complex problem and need structured thinking — let's talk.