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Nirmal, Parth
Index
Portfolio — Edition 2026Indiana, USA
Available for Summer 2026

I turn messydata intodecisionsleaders act on.

Product ManagementProject ManagementProgram ManagementStrategy & Analytics
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Specification00
Program
MS Business Analytics & Information Management
School
Purdue University · Daniels School of Business
Graduating
December 2026
Based in
Indiana, USA
Seeking
Product / Project / Program Management Internship

Graduate student in Business Analytics and Information Management at Purdue, with hands-on experience transforming complex datasets into executive-ready insights. Currently quantifying member value across a 93-pharmacy network on a Kearney industry practicum.

$33.9M member value quantified$870M purchasing spend standardized93 member pharmacies50+ AML client configurations2nd of 44 — Kaggle bankruptcy prediction95% on-time Agile delivery15+ BRDs & FRDs authored20% operational efficiency gain
01

Profile

Who I am / how I work

The analysis is only half the job. Framing the problem and landing the story with the people who own the roadmap is the other half.

I am a graduate student in Business Analytics and Information Management with hands-on experience transforming complex datasets into executive-ready insights, seeking a Product, Project, or Program Management internship in a fast-paced, technology-driven environment.

Highly goal-oriented and motivated, with a passion for delivering innovative ideas and fresh concepts that create value for clients — and a hands-on approach to leveraging AI tools to accelerate analysis and surface insights faster.

Three years of consulting and business analysis across the BFSI and pharmacy sectors taught me the part that matters most: the analysis is only half the job. Framing the problem, validating the data, and landing the story with the people who own the roadmap is the other half.

3 yrs

Consulting & BA experience

2 sectors

BFSI · Pharmacy

2 countries

India · United States

Operating principles

  1. i

    Frame before you model

    A sharp problem statement beats a clever model. I start by agreeing on the question and what a decision-ready answer looks like.

  2. ii

    Validate the data first

    Fragmented sources hide their own assumptions. Cleaning and reconciling comes before any number leaves my desk.

  3. iii

    Write for the decision-maker

    Executives need the implication, the size, and the so-what. I build the appendix, but I lead with the call.

  4. iv

    Use AI as an accelerant

    I lean on AI tools to speed up analysis and surface insights faster — with the judgment to know when the output needs a second look.

02

Impact

Selected numbers, with receipts

$0.0M

Total annual member value

On-invoice + off-invoice value quantified across 93 member pharmacies from four fragmented quarterly wholesaler datasets.

Kearney · CARE Pharmacies

$0M

Annual purchasing spend

Brought under one rule-based savings framework standardizing WAC, COGS, and aggregation logic across three agreement types.

Kearney · CARE Pharmacies

$0.0M

Off-invoice opportunity surfaced

Identified a structural gap where independent members capture 50% of value through rebates versus only 12% for group members.

Kearney · CARE Pharmacies

0+

Clients configured on Trackwizz

Led AML product configurations across the BFSI sector, cutting manual compliance review by an estimated 15+ hours per week.

TSS Consultancy

0%

On-time sprint delivery

Maintained across bi-weekly Agile sprints with an 8-member cross-functional development team.

TSS Consultancy

0%

Bankruptcy model accuracy

0.93280 AUC on highly imbalanced financial data using LightGBM — 2nd place out of 44 teams.

Purdue · Data Mining

Figures reflect analyses delivered on client and academic engagements. Detail available on request.

03

Experience

Three roles / two sectors
01Current

Kearney

Client — CARE Pharmacies

Industry Practicum — Strategy & Analytics Consultant

January 2026 — PresentWest Lafayette, Indiana
Financial ModelingExecutive ReportingRoadmap PrioritizationData ValidationExcel Modeling

Sizing and standardizing the economics of a 93-pharmacy member network so leadership can prioritize a product roadmap against real numbers rather than anecdotes.

  • Quantified $33.9M in total annual member value (on-invoice + off-invoice) across 93 member pharmacies by synthesizing fragmented wholesaler sales data from 4 quarterly datasets, translating findings into executive-ready reports for Kearney and CARE Pharmacies leadership to support product strategy and roadmap prioritization.

  • Designed a rule-based financial savings framework standardizing WAC, COGS, and aggregation logic across 3 agreement types and 2 account categories, enabling consistent savings calculation across $870M in annual purchasing spend.

  • Built data visualizations and user-facing insights identifying a ~$8.8M off-invoice opportunity for group stores, surfacing a structural gap where independent members receive 50% of value through rebates versus only 12% for group members.

  • Delivered on-invoice savings analysis revealing a consistent ~3% savings rate across both member segments despite a 3.4× volume difference, demonstrating that the $15M savings gap is driven by purchase volume, not pricing advantage.

02

TSS Consultancy Pvt. Ltd

Associate Business Analyst

April 2023 — June 2025Mumbai, Maharashtra
Agile MethodologyRequirements GatheringBRD / FRDStakeholder CommunicationAML / BFSI

Owned requirements and configuration for an AML compliance product across a large client base, working sprint by sprint with an eight-person engineering team.

  • Drove analytical insights and AML compliance initiatives in the BFSI sector, leading Trackwizz AML product configurations for 50+ clients, improving operational efficiency by 20% and reducing manual compliance review time by an estimated 15+ hours per week across client implementations.

  • Collaborated with an 8-member cross-functional team to plan and track bi-weekly Agile sprints, removing blockers and maintaining 95% on-time delivery of features aligned with product requirements and timelines.

  • Authored 15+ BRDs, FRDs, and user stories in close collaboration with clients, translating business needs into technical requirements and accomplishing a 95% on-time delivery rate across multiple implementations.

  • Delivered detailed client reports and requirement documentation with high accuracy, receiving 100% positive client feedback and supporting consistent, on-schedule releases across consecutive sprints.

03

RNS Technology Services

Associate Technical Consultant

October 2022 — April 2023Mumbai, Maharashtra
Digital IdentityClient AdvisoryStrategy DesignRisk Mitigation

Advised clients on digital identity management, shaping access strategy in a threat landscape where the cost of getting it wrong is measured in breaches.

  • Provided expert consulting to 12+ clients on digital identity management, enhancing security and efficiency while guiding strategy design to mitigate access and misuse risks.

  • Enhanced security and operational resilience for clients, enabling them to protect sensitive data and assets in a dynamic threat landscape, reducing security breaches by 25%.

04

Projects

Built, shipped, ranked
Personal ProjectJanuary 2026
01

FeedbackLens

Sentiment + Theme Analytics Dashboard

An edge-deployed dashboard that aggregates product feedback from multiple sources and enriches every entry with AI-generated sentiment, themes, and ratings — so prioritization starts from signal, not a spreadsheet of raw comments.

Stack

Cloudflare WorkersD1Workers KVWorkers AIEdge Caching

What I did

  • 01

    Built and deployed a Cloudflare Workers feedback aggregation dashboard with D1 persistence, enabling real-time submission, search, filtering, and interactive analytics for multi-source product feedback.

  • 02

    Integrated Workers AI to automatically enrich feedback with sentiment, summaries, theme tags, and star ratings (with fallback prediction), improving prioritization and insight extraction while aligning with responsible AI practices.

  • 03

    Revamped performance and UX with Workers KV plus edge caching and cache invalidation, along with a mobile-responsive UI and clear interactive filtering and highlighting across charts and lists.

Academic ProjectNovember 2025 — December 2025
02

Bankruptcy Prediction

Kaggle Competition — Data Mining, Purdue University

2nd of 44 teams

A gradient-boosted classifier for corporate bankruptcy on severely imbalanced financial data, where the gains came from financial-ratio feature engineering rather than model swapping.

Stack

PythonLightGBMOptunaFeature Engineering

What I did

  • 01

    Ranked 2nd out of 44 teams in a Kaggle bankruptcy prediction competition, achieving 93% accuracy (0.93280 AUC) on highly imbalanced financial data using LightGBM.

  • 02

    Improved model performance by ~12% over baseline through feature engineering, financial ratios, polynomial features, and Optuna-based hyperparameter tuning.

05

Capabilities

Four groups / twenty-two skills
A

Product & Delivery

  • Agile Methodology
  • Requirements Gathering
  • Business Problem Framing
  • Structured Problem Solving
  • Analytical Framework Development
  • Strategic Thinking
B

Analytics & Modeling

  • Data Analysis
  • Financial Modeling
  • ROI Quantification
  • Data Validation & Cleaning
  • Excel Modeling
C

Tools & Languages

  • SQL
  • Python
  • Tableau
  • Power BI
  • Excel
D

Communication

  • Stakeholder Communication
  • Executive Reporting
  • Cross-functional Collaboration
06

Education

Purdue / Mumbai

Purdue University

In progress

Daniels School of Business · West Lafayette, IN

Degree

Master of Science, Business Analytics and Information Management

GPA

3.5 / 4.0

Conferred

December 2026

Fr. Conceicao Rodrigues College of Engineering

University of Mumbai · Mumbai, Maharashtra

Degree

Bachelor of Engineering, Electronics

GPA

3.2 / 4.0

Conferred

May 2022

07

Get in touch

Replies within a day

Looking for a product, project, or program management intern who can size the opportunity before building the roadmap?

I am graduating from Purdue in December 2026 and am open to internship and full-time conversations. Happy to walk through any of the analyses above in detail.

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