Payal Choudhary

Data Scientist

Mumbai, Maharashtra, India4 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed innovative pricing models at Walmart Global Tech.
Designed GenAI pipeline for large-scale item categorization.
Expert in machine learning and data-driven solutions.

Stackforce AI infers this person is a Data Scientist specializing in Retail and Fintech industries.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

AlgorithmsAndroidAndroid DevelopmentAndroid StudioArduino IDEArtificial Intelligence (AI)AutoCADBlueJC (Programming Language)C++Cascading Style Sheets (CSS)Computer ScienceData EntryDeep LearningEnglish

About

With 3 years of professional experience, I specialize in leveraging AI, machine learning, and data-driven solutions to address real-world challenges. Currently, at Walmart Global Tech, I focus on developing large-scale optimization and pricing systems that deliver impactful results. I thrive in applying technology to enhance decision-making and operational efficiency across domains. My time at IIT Bombay was pivotal in shaping my technical foundation. It was here that I honed my skills in problem-solving, algorithm design, and software development. The rigorous coursework, coupled with collaborative projects and research, fueled my passion for technology and innovation. IIT Bombay instilled in me the value of critical thinking and collaboration, which I carry forward in my work today. I believe in the power of collaboration, continuous learning, and blending domain expertise with data science to drive meaningful change. Let’s connect and explore how we can create impactful AI solutions together! Do connect with me by dropping a mail: payalchoudhary.iitb@gmail.com

Experience

Walmart global tech

Data Scientist

Jul 2023 – Feb 2025 · 1 yr 7 mos

Built NSGA-II + LightGBM pricing models for 1B+ items, optimizing GMV, ROI and commission thresholds; introduced a Price Sensitivity Index (patent filed).
Developed knapsack-based pricing engines generating suggested/floor/ceiling prices at marketplace scale.
Designed a GenAI pipeline to detect category mismatches across 30M+ items, benchmarking open-source models for faithfulness, cost, and latency.
Scaled data/ML pipelines using PySpark, R, and Dask, enabling high-throughput batch inference and parallel optimization workloads.
Earned Bravo & Excellence Awards for high-impact contributions in pricing innovation and GenAI systems.

Python (Programming Language)Data ScienceMachine Learning

Presolv360

Software Developer

Jan 2023 – Jul 2023 · 6 mos · Mumbai, Maharashtra, India

Built key platform features for case verification, document arrangement, and SoC generation, improving accuracy and reducing manual effort.
Developed REST APIs (NodeJS), Python data pipelines, and OCR-based extraction to automate document processing end-to-end.
Deployed services on AWS EC2 with automated templates and monitoring, increasing system reliability and operational efficiency.

Ribin (backed by 100x.vc)

Software Developer

Aug 2022 – Jan 2023 · 5 mos · Mumbai, Maharashtra, India

Development • Architected Ribin’s backend, incorporating routers, middlewares, controllers, and JWT based auth
Designed detailed ER-diagram, integrating PostgreSQL with backend & Redis caching for better performance
Deployment • Orchestrated Ribin’s deployment on AWS, employing EC2, RDS, Elastic Cache, and S3 services
Leveraged Postman for API testing to ensure robustness, integrating automated tests into the CI/CD pipeline

American express

Analyst

May 2022 – Jul 2022 · 2 mos

Received a Pre-Placement Offer for exemplary performance
Trained an AutoEncodermodel to identify prospective abusers by analyzing1 8+benefit engagement of users
Identified potential loss of$1.5M+by investigating the top 3 cases of interest based on reconstruction error
Developed product abuse tracking system by integrating live dataset of 2M+premium cards usinghivequeries
Modeled a scheduler by writing cron scripts to run the processes and auto-trigger mails every quarter

Aster dm healthcare

Data Analyst

Oct 2021 – May 2022 · 7 mos · Dubai, United Arab Emirates

Programmed ETL tools for customer segmentation integrating plotly-based user-friendly visualizations
Hosted dash applications synchronizing multi callback on Ngnix & Uwsgi server by creating tmux sessions
Analyzed records of 50+ clinics for 14+ months (8M+) entries to identify patterns and anomalies
Automated data anonymization process of clinical reports using libraries like fuzzy-wuzzy and spacy

Entityvector

Machine Learning Engineer

Mar 2021 – Jun 2021 · 3 mos · Sunnyvale, California, United States

Building a Digital Investigator to tackle financial crime compliance using machine learning techniques
Formulated a sequence of algorithms based on advanced mathematical & statistical models as well as Time-Series forecasting and Seq2Seq Attention models to detect accounting frauds in US companies

Natural Language Processing (NLP)Deep LearningMachine Learning

Timemarks™

Android Developer

Dec 2020 – Feb 2021 · 2 mos

Customized and developed cross-platform app on Flutter and integrated it with the main application
Revamped the User Interface of the app by writing high quality XML code to convert Figma designs
Worked on bottlenecks and fixed bugs to ensure high performance and responsiveness of the app

Indian institute of technology, bombay

Convener, Web and Coding Club

Jun 2020 – Jun 2021 · 1 yr

Coordinated one of the largest coding clubs in India aimed at promoting and diversifying coding culture in the institute
Conducted workshop on Web Development & Hosting and organized hackathon indulging about 100+ participants
Volunteered to make detailed resources on Probabilistic Algorithms for Code in Quarantine and Algos-Simplified
Contributed towards maintaining the WnCC WIKI by writing articles on Android Studio, SQL, Web Hosting
Mentored and handled logistics of 300+ students in building a Personal Website and developing a Food Delivery App
Prepared weekly tutorials and assignments on topics like Git, HTML, CSS, Bootstrap, JavaScript, and Django