Parul Gupta

Co-Founder

San Francisco, California, United States2 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved 89% accuracy in NLP model development.
Engineered ML model with 92% accuracy for labor market classification.
Optimized fraud detection algorithm efficiency by 76.5%.

Stackforce AI infers this person is a Data Science and Machine Learning expert with experience in SaaS and Fintech industries.

Contact

Skills

Core Skills

Machine LearningNatural Language Processing (nlp)Data Quality ManagementData AnalysisData Visualization

Other Skills

Python (Programming Language)Statistical Data AnalysisSQLDatagripAIRelational DatabasesAmazon QuickSightAmazon RedshiftAWS GlueAmazon AthenaPythonLogistic RegressionAWS SageMakerPandas (Software)Matplotlib

About

Passionately leveraging technology to address real-world challenges and drive business expansion. I'm a senior majoring in Statistics & Data Science with a breadth in Computer Science and a minor in Entrepreneurship at UT Austin. In the future, I hope to pursue a career in this domain. Feel free to contact me at parulg428@utexas.edu!

Experience

Verto

Co-Founder

Jan 2026 – Present · 2 mos

Check us out at learnverto.com!

Salesforce

Data Science Intern

May 2025 – Aug 2025 · 3 mos · San Francisco, California, United States · Hybrid

Customer & Go To Market Data Strategy Team
Built an industry classification model leveraging NLP techniques on purely textual data, achieving 89% accuracy
2nd Place in the Intern Hackathon for building, Rutaforce, an agent that solves disaster relief assistance problems
Designed and implemented a data quality agent for 1000+ clients to resolve inconsistencies in company data

Python (Programming Language)Machine LearningStatistical Data AnalysisNatural Language Processing (NLP)SQLDatagrip

Convergent

3 roles

Technical Lead

Jan 2025 – May 2025 · 4 mos

Lead tech team of 4 for our client, Coley GCS
Host technical workshops for members in the org
Technical tasks this semester include Document Analysis, User Authentication, and Document Uploading
Building features and portal from scratch

Natural Language Processing (NLP)AIMachine LearningRelational Databases

Forge ML Engineer (Homekynd)

Sep 2024 – Dec 2024 · 3 mos

Developed ML models for furniture placement/ scene editing by analyzing images of rooms (unstructured data)
Implemented AWS Rekognition to annotate images to label furniture items and extract spatial coordinates, creating datasets for accurate training
Utilized cloud infrastructure to manage data labeling and deploy scalable ML models for optimal home design

Fintech Software Engineer

Jan 2024 – Aug 2024 · 7 mos

Developed a return management system catered to small businesses to eliminate extraneous costs and eliminate hassle for both store owners and customers as a part of the tech team
Built React Native application for users to scan product barcodes to initiate returns to small businesses
Developed React.js website for businesses to manage customer returns; won best design among 18 teams

Coley gcs

Technical Lead

Jan 2025 – May 2025 · 4 mos

Department of computer science, the university of texas at austin

Undergraduate Course Assistant

Aug 2024 – Present · 1 yr 7 mos

Undergraduate Teaching Assistant for CS 303E: Elements of Computers & Programming under Dr. Young
Host weekly office hours to assist students with problem solving and core computer science fundamentals
Assist head TA in grading scripts and rubrics

Amazon

Data Analyst Intern

May 2024 – Aug 2024 · 3 mos · Nashville, Tennessee, United States · Hybrid

On Road Staffing Market Intelligence
Engineered ML model using diverse data sources, achieving 92% accuracy in labor market risk classification
Automated reporting solutions influencing $30M marketing budget; reduced decision-making time by 40%
Scraped raw data from Amazon Quicksight dashboards and developed queries to make data digestible
Nominated to demo my submission in Amazon's 2024 Emerging Innovations Intern App Development Contest

Amazon QuickSightSQLStatistical Data AnalysisAmazon RedshiftAWS GlueAmazon Athena+8

Department of statistics and data sciences, the university of texas at austin

Undergraduate Course Assistant

Jan 2024 – May 2024 · 4 mos · Hybrid

TA for SDS 320E: Elements of Statistics

Integra fec

Data Science Intern

Aug 2023 – Dec 2023 · 4 mos · Austin, Texas, United States · On-site

Developed ML code script for fraud detection in over 10 billion transaction rows; identified patterns in datasets
Optimized algorithm efficiency by 76.5%, cutting runtime from 17 to <4 minutes for accurate fraud detection

Hart howerton

Design Technology Intern

Jul 2023 – Aug 2023 · 1 mo · San Francisco Bay Area · Hybrid

Spearheaded the identification and cultivation of use cases for integrating cutting-edge technologies, resulting in streamlined design processes and enhanced building performance
Pioneered the creation of dynamic visualizations for employee profiles, optimizing the allocation of AI tool licenses for maximal efficiency
Devised and implemented scripts to meticulously organize company file data, contributing to a more structured and accessible data management system

Data VisualizationPython (Programming Language)Scikit-LearnData AnalyticsDatabasesRegression Analysis+6

Code ninjas

Coding Instructor

Jun 2023 – Jul 2023 · 1 mo · San Ramon, California, United States · On-site

Instruct children (5 to 14 yrs) in programming languages and tools - Scratch, JavaScript, Python, and Robots and running morning camps
Facilitate learning within student discussions by assessing student understanding and asking guiding questions

Data VisualizationGenerative DesignBig Data AnalyticsPowerBIPython (Programming Language)Big Data+5