Jayesh Chaudhari
Data Analytics professional specializing in predictive modeling, business intelligence, and translating data insights into measurable business impact.
About Me
I'm an analytics professional pursuing my Master's in Business Analytics and Information Management at Purdue University. With over 4 years of experience in technology consulting and data science, I specialize in applying machine learning and AI techniques to solve complex business problems. My work spans from developing fraud detection systems and bankruptcy prediction models to implementing NLP solutions for real-world applications.
During my time at Capgemini, I led cross-functional teams to deliver enterprise solutions that generated significant business value, including a $10M+ revenue-driving insurance platform. More recently, I've focused on the intersection of AI and business strategy through roles at Prediction Guard and CorpusKey, where I've worked on AI safety benchmarking and advanced text analytics using clustering and dimensionality reduction techniques.
I'm passionate about leveraging data to drive strategic decisions and building scalable solutions that create measurable impact. My technical toolkit includes Python, SQL, machine learning frameworks, and cloud platforms, complemented by strong business acumen developed through coursework in data-driven marketing, business analytics, and emerging technologies. I'm actively seeking opportunities where I can apply my analytical expertise to help organizations unlock the value in their data.
Technical Skills & Expertise
My professional toolkit and technical capabilities.
Data Engineering & Processing
Machine Learning & AI
Programming & Development
Cloud & Infrastructure
Data Visualization & Analytics
Natural Language Processing
Business Intelligence & Strategy
Project Management & Consulting
Education
- Awarded a competitive, merit-based tuition scholarship for international business students.
- Data Mining
- Business Analytics
- Data and AI Driven Marketing
- AI for Business Decision Making
- Emerging Technologies and Businesses
- Organized and led campus-wide events as Additional Secretary of the Painting Club.
- Directed and supervised all event activities as a core management team member for Technozion 2019, the annual technical festival.
- New Venture Creation
- Industrial Management
- Automotive Mechanics
- Nano Science and Nano Technology
Professional Experience
A journey through my professional roles and achievements in the field of technology and analytics.
AI Researcher
Prediction Guard
West Lafayette, IN • January 2024 - April 2024
- Designed an AI risk benchmarking framework for open-source LLMs (LLaMA-3, Hermes), evaluating prompt injection, PII leaks, toxicity, and factual drift using custom adversarial pipelines and real-world datasets
- Engineered novel evaluation metrics (e.g., Hijack Success Rate, Prompt Deviation) and built an enterprise-grade leaderboard, guiding secure model selection and supporting product risk-mitigation strategies
Data Scientist
CorpusKey Inc.
West Lafayette, IN • August 2023 - December 2023
- Applied dimensionality reduction (PCA, t-SNE) and clustering (K-Means, DBSCAN, GMM) on high-dimensional text embeddings and delivered interactive perceptual maps to identify strategic content gaps
- Built automated semantic labeling pipelines using SentenceTransformer, GPT-3.5 API to enhance corpus data interpretation, improving labeling consistency and analysis efficiency
Associate Consultant
Capgemini Technology Services India Limited
Mumbai, India • April 2022 - August 2023
- Developed applications for a multi-line insurance client entering the U.S. market, streamlining the backend for drafting policies and contributing $10M+ in annual revenue
- Led daily standup meetings for a 37-member team, resulting in a 15% improvement in delivery efficiency
- Reduced delivery delays by 10% through strategic sequencing of project milestones in close collaboration with multiple teams across 3 countries
- Collaborated with business analysts to convert $100,000+ worth of business requirements into implementable technical solutions, refining development processes and minimizing rework
Senior Software Engineer
Capgemini Technology Services India Limited
Mumbai, India • September 2020 - March 2022
- Led a 9-member team, delivering a $300,000 module 40% ahead of schedule through optimized workflows
- Implemented quality checks through structured processes that reduced rework by 60%, saving $20,000 in costs
- Coordinated cross-functional efforts between development and testing teams, enhancing collaboration and ensuring seamless execution of project phases
Projects
A collection of my work in machine learning, data analytics, and artificial intelligence.
Bankruptcy Prediction Model
Built an ensemble model combining logistic regression, neural nets, and gradient boosting to predict bankruptcy risk with 94.15% accuracy.
NLP with Disaster Tweets
Compared traditional ML with deep learning to classify tweets as disaster-related or not, achieving 83%+ accuracy with DistilBERT.
Bank Transaction Fraud Detection
Developed a scalable fraud detection pipeline on Spark using Gradient Boosting and Random Forest, achieving strong AUC and recall metrics.
SmartSlideGen
Built an AI-powered system using LlamaParse, Claude, and GPT-4o to transform Word documents into clean, visual PowerPoint slides.
Optimal Drugstore Location
Analyzed hospital proximity, foot traffic, and demographics to identify ideal U.S. locations for drugstore chains.
Renewable Energy Impact
Visualized U.S. energy transition trends using IRENA and EIA data, highlighting the link between renewable adoption and carbon reduction.
Dunnhumby Customer Engagement
Performed customer segmentation using K-Means and built churn prediction models using Random Forests.
Certifications & Achievements
Recognitions, awards, and credentials that highlight my professional journey.
