JJ
Critical Thinking Curiosity Communication
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My Compass

My approach is driven by a core set of values that shape how I tackle challenges and collaborate. These principles are the foundation of my work in technology, analytics, and automation.

Guiding Principles

Critical Thinking

Essential for dissecting complex problems, identifying root causes, and designing effective, data-driven solutions.

Curiosity

Fuels my desire to explore data, learn new technologies, ask "why?", and uncover hidden insights or optimization opportunities.

Communication

Key to translating technical complexities into clear, actionable strategies and fostering collaboration across diverse teams.

Building scalable solutions at the intersection of technology, analytics, and automation to drive efficiency.

My Journey

Chronological highlights of applying data science, engineering, and automation across diverse industries.

JPMorgan Chase & Co.Data Science & Engineering (Software Developer)Jan 2023 – Present

Engineering data pipelines and optimizing risk analytics for a $1.7T VCG loans portfolio.

Led development of a Financial RAG system using NLP, OpenAI embeddings & RedisSearch, achieving 90% F1 and 40% cost reduction. Collaborated with QR on predictive models reducing valuation error margins by 15%. Achieved 73% reduction in processing time via migration to Python & React.
  • Python
  • React
  • Databricks
  • AWS
  • SQL
  • Risk Management
  • Data Pipelines
  • Tableau
  • RAG
  • NLP
  • OpenAI
  • spaCy
  • RedisSearch
  • Kubernetes
Razor GroupData Science and Automation Engineer InternJun 2022 – Sep 2022

Developed data science models and automated critical data workflows for e-commerce operations.

Saved 76% processing time automating A/B test pipeline (AWS Glue, S3, Redshift). Improved video upload turnaround by 82% with a scalable GDrive-to-YouTube pipeline. Boosted acquisition success rate by 15% using an NLP model for product viability.
  • Python
  • AWS Glue
  • S3
  • Redshift
  • NLP
  • Automation
  • A/B Testing
  • Web Scraping
MicrosoftProduct Intern (Future Ready Program)Nov 2021 – Jan 2022

Designed and implemented a smart grid project using ML for energy demand forecasting.

Achieved 81% prediction accuracy using Azure ML & Time Series Insights. Azure suite for model development and deployment (Azure ML, DevOps).
  • Python
  • Azure ML
  • Time Series
  • Forecasting
  • Machine Learning
  • DevOps
Finetech Controls Pvt LtdSoftware Engineer InternJun 2019 – Jul 2019

Learned and applied automation tools for testing APIs and websites.

Reduced query times by 18% using Python scripting for automation testing. Implemented frameworks including Django and Beautiful Soup (flagged errors 2x faster).
  • Python
  • Automation Testing
  • Django
  • Beautiful Soup
  • APIs

Core Skills & Expertise

Bridging data insights, robust engineering, and strategic execution to deliver impactful solutions.

Data Science & AI

  • Engineered a Financial RAG System with custom NLP (spaCy NER) and OpenAI embeddings, achieving 90% F1 score and 30% reduction in LLM hallucinations.
  • Implemented a fuzzy-logic confidence gate within the RAG pipeline, reducing generative AI calls by 40% and significantly lowering GenAI spend.
  • Reduced valuation error margins by 15% by developing predictive models for securitized loans (Python, ML Libraries @ JPMC).
  • Boosted product acquisition success by 15% using NLP forecasting models (Python @ Razor Group).
  • Achieved 81% accuracy in time-series energy demand forecasting (Azure ML @ Microsoft).
  • Built award-winning AI solutions leveraging LLMs/RAG (Hackathon Winner '23, 70% load reduction).
  • Proficient in Pandas, NumPy, Scikit-Learn, PyTorch/TF, SQL, Tableau for analysis and visualization.

Engineering & Development

  • Engineered scalable data pipelines (ETL) for $1.7T portfolio using Python, PySpark, Databricks & AWS.
  • Led legacy system migration achieving 73% processing time reduction (Python, React @ JPMC).
  • Developed robust automation saving significant time (e.g., 76% on A/B test pipeline, 82% on video processing @ Razor).
  • Published reusable Databricks ingestion framework improving throughput by 83%.
  • Experienced with React.js, API development, Cloud platforms (AWS/Azure), Git, and testing (Pytest).

Product & Strategy

  • Collaborated effectively across 10+ teams and with senior executive stakeholders (QR @ JPMC) on complex, high-impact projects.
  • Translated business needs into technical solutions, driving project execution using Agile/Scrum (JIRA).
  • Demonstrated strong communication, problem-solving, and leadership, recognized by JPMC Execution Excellence Award.
  • Spearheaded multiple award-winning Hackathon projects delivering innovative solutions (e.g., 45% KYC time reduction).

Signature Projects

Selected projects demonstrating problem-solving, technical execution, and impact.

AI Recruitment Bot (JPM Hackathon Winner '23)

Developed an AI-driven screening bot leveraging Large Language Models (LLMs) via Langchain to analyze résumés against job descriptions, identifying top candidates efficiently.

Impact: Streamlined initial screening, potentially reducing recruiter time significantly (70% load reduction cited) and improving candidate matching quality.
Databricks Ingestion Framework (JPM Publication)

Designed and published a framework for seamless data reading/writing (S3, Delta) with built-in transformations and parameterization.

Impact: Improved data processing throughput by 83%, enhancing flexibility, scalability, and automation.
Smart Energy Forecasting (MS Internship)

Built time-series ML models using Azure ML and Time Series Insights to predict energy demand based on historical data and weather patterns.

Impact: Achieved 81% prediction accuracy, enabling better grid management and resource allocation strategies. (Also used LSTM, GANs - see resume project details)
Risk Portfolio Optimization (JPM)

Led migration of legacy risk analytics systems for a $1.7T VCG loans portfolio from SAS/SQL to a modern Python/React/Databricks stack on AWS.

Impact: Reduced processing time by 73% and cut critical production errors by 20%, enhancing analytical capabilities and stability.
Blockchain KYC Solution (JPM Hackathon Winner '24)

Designed a conceptual blockchain-based Know Your Customer (KYC) platform to enhance security, transparency, and efficiency in client onboarding.

Impact: Explored innovative technology application for regulatory compliance (cutting manual review time by 45% cited), showcasing forward-thinking problem-solving.

Beyond Work

Continuous learning, leadership, and community involvement.

Leadership & Volunteering

  • UPG Sustainability Leader ('23 - Present)
  • Teaching Volunteer @ Lakshya Trust ('19 - Present)
  • R&D Engineer @ Enactus Thapar (Eco-projects)
  • Business Development @ AIESEC
  • MUN Chairperson

Achievements & Recognition

  • JPM Hackathon Wins/Runner-up ('23, '24 x2)
  • Execution Excellence Award @ JPM ('24)
  • Zuno Fellowship Silver Awardee ('22)
  • Codekaze Winner (3rd College Rank '22)
  • Merit Scholarship (9.6 CGPA)
  • High XAT Percentile (98.5)

Education & Certs

  • B.Eng Computer Science, Thapar Institute (9.3 CGPA)
  • UPG Sustainability Leadership Cert
  • Python Fundamentals Cert
  • JPM Virtual Experience

Always learning and exploring. Let's connect!

Let's Connect

I'm always interested in discussing new opportunities, technology trends, or potential collaborations. Feel free to reach out via LinkedIn or Email.