Resume.

Contact Information

Website: shreyashg.com
LinkedIn: https://www.linkedin.com/in/shreyashgupta5/
GitHub: https://github.com/shreyashguptas

Professional Summary

Experienced data scientist and software engineer with expertise in analytics, machine learning, and full-stack development. Proven track record of leading technical teams, building scalable applications, and driving data-driven decision making across Fortune 100 companies and startups. Specialized in Python, JavaScript, cloud infrastructure, and emerging technologies.

Work Experience

University of Arkansas - Associate Director, Analysis and Reporting

Duration: August 2023 - Present Location: Fayetteville, AR

Led end-to-end analytics strategy, making university data truly useful for all stakeholders, from daily dashboards to executive decisions
Automated and maintained Azure data pipelines, wrangling disparate sources into clean, actionable intelligence for campus leadership
Deployed and configured project management workflows (ClickUp) that cut down missed tasks and overtime "fire drills"

Tyson Foods - Developer, Applications

Duration: June 2021 - May 2023 Location: Springdale, AR

Architected and deployed a live, scalable pallet tracking dashboard for 250+ supply chain sites, generating insights where they mattered most on the plant floor
Revamped Google Cloud IAM and security roles at Fortune 100 scale, using Terraform: thousands of permissions, balanced perfectly between "just enough access" and "no more accidental deletion"
Built visualizations in Power BI that were actionable and visually appealing, helping leadership and analysts spot trends fast
Bridged the business-tech gap, collaborating with both operators and back-end developers to deliver practical, reliable solutions

Campus Innovations - CEO & Co-founder

Duration: June 2020 - October 2022 Location: Fayetteville, AR

Bootstrapped a 16-member team (design, front-end, back-end) to launch a student mobile app, achieving 200% user growth in 6 months
Championed and enforced Scrum rituals, accelerating release cadence to "warp speed" (5x faster than early days)
Baked customer feedback directly into product roadmap - every month, real users, real talk
Fostered fun, resilient cross-functional culture during the chaos of big releases and tight deadlines
Bridged the business-tech gap, collaborating with both operators and back-end developers to deliver practical, reliable solutions as an early stage startup

Selected Projects & Hackathon Highlights

Machine Learning for Dummies (2024)

Open-source, beginner-friendly platform for ML education via interactive modules (PyTorch, scikit-learn). Making ML fun, not scary.

IMDB Movie Review Sentiment Analysis (2025)

Developed an NLP model to scrape IMDB reviews, utilizing an XGB classifier to analyze sentiment and discrepancies between numerical ratings and textual evaluations. Results indicated an RMSE of 2.75, suggesting a significant average discrepancy that impacts aggregate movie ratings.

TubeGenius (2025)

AI-powered YouTube content optimizer; automated video transcription, title/description boosting, and thumbnail generation. Built with Whisper, Stable Diffusion, and deployed for Hugging Face MCP Hackathon.

CAPTCHA Recognition (2024)

Built a high-accuracy CRNN-based neural network system to crack complex CAPTCHAs—because automation is life!

Dates and Debates (2025)

Built in 24 hours at HogHacks, this app randomly matches users with a soulmate or "argument arch-nemesis." Placed 5th overall.

Congressional Bill Tracker (2024 - Present)

Next.js, AI-based bill summaries, live updates—brings legislative activity into public view, one click at a time.

For full project links & demos: shreyashg.com/projects

Technical Skills

Programming Languages

Python: Expert - Machine learning, data analysis, automation
JavaScript: Advanced - Full-stack development, React, Next.js
SQL: Advanced - Database design, complex queries, optimization
Terraform: Advanced - Infrastructure as code, cloud automation

Frameworks & Technologies

Frontend: Next.js, React, Node.js
Data Visualization: Power BI, Tableau, Streamlit
Containerization: Docker, Kubernetes, Proxmox
Version Control: Git, GitHub workflows

Cloud & Infrastructure

Cloud Platforms: Google Cloud (GCP), AWS, Azure, Vercel, Supabase
Infrastructure: Kubernetes clusters, Home Assistant, Proxmox
Networking: Ubiquiti Networks, custom server rack solutions

Machine Learning & Data Science

ML Libraries: scikit-learn, PyTorch, Pandas, NumPy
Data Analysis: PowerBI, statistical modeling, predictive analytics
NLP: Text processing, sentiment analysis, automated content generation

Hardware & IoT

Single Board Computers: Raspberry Pi, Nvidia Jetson Nano
Custom Solutions: 3D printing for server rack customizations
Home Automation: Home Assistant, smart home infrastructure

Education

Master of Science in Economics Analytics

Institution: University of Arkansas, Sam M. Walton College of Business Graduation: May 2024 Location: Fayetteville, Arkansas

Bachelor of Science in Business Administration

Institution: University of Arkansas, Sam M. Walton College of Business Graduation: May 2022 Location: Fayetteville, Arkansas Major: Economics Minor: Business Analytics

Professional Achievements

Led analytics strategy for major university institution
Built scalable solutions for Fortune 100 company (Tyson Foods)
Successfully bootstrapped and scaled startup to 16-member team
Achieved 200% user growth in 6 months as startup CEO
Placed 5th in competitive hackathon (HogHacks)
Developed multiple production ML models and data pipelines
Expertise in both business and technical domains

Leadership & Management

Led cross-functional teams of 16+ members
Managed end-to-end project delivery
Implemented Agile/Scrum methodologies
Bridged business and technical requirements
Fostered collaborative team culture
Strategic planning and execution