Arya Patel

About Me

Most automation projects don't fail because the idea is wrong. They fail because no one built the pipeline to make it real. I'm a Data Science graduate student (Class of 2026) obsessed with closing that gap.

My work ranges from building cloud-native AWS platforms for algorithmic trading research to automating customer discovery pipelines that surface revenue opportunities a sales team would never find manually.

I've learned that the hardest part of data science isn't the model — it's understanding the messy, manual process you're trying to replace. One experience that shaped me early: watching a perfectly backtested trading strategy fall apart the moment it hit live market conditions. Debugging that taught me to think in terms of failure modes and system reliability.

Now I'm channeling that into GenAI and Agentic AI — because the most exciting automation isn't just faster. It reasons.

DATA SCIENCE
ROLES

0.0

GPA
MS DATA SCIENCE

PROJECTS
BUILT

IBM & GOOGLE
CERTIFICATIONS

apatel210@hawk.illinoistech.edu

Arya Patel

Open to Opportunities

Data Analysis Using Python

Data Visualization Using Python

IBM Certified

VERIFY

Google Skills

Silver League · 14,000 pts

VIEW PROFILE

Insights from Data with BigQuery

Google Cloud Certified

VERIFY

Integrate with Machine Learning APIs

Google Cloud Certified

VERIFY

What I Do

Technical Skills

Hover over a card to see the details. I work across the full data science stack — from raw data pipelines to deployed ML models.

Languages

Python SQL R Bash

Data Engineering

Apache Spark Airflow dbt Snowflake Pandas NumPy ETL Design

ML / Statistics

ML / Stats

Scikit-learn XGBoost PyTorch Statsmodels SciPy A/B Testing Causal Inference

Cloud & MLOps

AWS S3 Glue Athena SageMaker Lambda Docker MLflow

NLP & LLMs

Hugging Face Prompt Engineering RAG TF-IDF Transformers

Data Viz & Geo

Visualization

Power BI Plotly Matplotlib Seaborn QuickSight GeoPandas

My Resume

Education & Experience

MY EDUCATION

MS in Data Science

Illinois Institute of Technology, Chicago, IL | 2024 – May 2026

Teaching Assistant for Data Preparation and Analysis (CSP 571), Fall 2025 & Spring 2026. GPA 3.9/4.0.

Coursework: Big Data Technologies, Statistical Learning, Decentralized ML, Advanced Database, Time Series, Regression, Social Network Analysis, Causal Inference.

BE in Information Technology

Gujarat Technological University, India | 2020 – 2024

GPA 3.9/4.0. Smart India Hackathon 2022 Winner — National-level government hackathon.

MY EXPERIENCE

Data Scientist Co-op

Jan 2026 – May 2026 | LabelMaster, Chicago, IL

Integrated 9 regulatory datasets (EPA, OSHA, RCRA, DOT) with 132K+ transactions into a 26K+ site dataset. LLM pipeline generating hazmat profiles at 0.81 mean confidence. Hybrid recommendation engine exposing an 83.6% cross-sell packaging gap.

Data Scientist

May 2025 – Aug 2025 | Shoptaki, NY (Remote)

Led team of 5 building Python backtesting framework; Parquet storage cut data size 70%. Trading bots via Interactive Brokers API with async concurrent architecture.

Data Scientist

Jul 2022 – Aug 2024 | Algobazar, Gujarat, India

Engineered 30+ features from 29K+ price bars using Amazon Athena & S3. TensorFlow MLP on SageMaker — backtested strategy generating 9.5% return. Spark ML Random Forest — 65.52% win rate across 87 live trades. Dockerized models deployed to ECR/ECS.

Teaching Assistant — CSP 571

Fall 2025 & Spring 2026 | Illinois Institute of Technology

Mentored graduate students in Python-based data wrangling, EDA, and statistical analysis. Held office hours and graded assignments.

Achievements

My Projects

Streaming · Fraud Detection

CardShield

End-to-end fraud detection pipeline for streaming credit card transactions. Combines Kafka event streaming, real-time scoring, Cassandra persistence, and a live monitoring dashboard.

Python, Apache Kafka, PySpark, Spark ML, Cassandra

GitHub

Multimodal AI · Computer Vision

CatSense

Real-time multimodal AI inspection co-pilot for Caterpillar heavy equipment. Combines vision, audio, and manual-grounded reasoning to produce structured safety reports in seconds.

React, TypeScript, FastAPI, Google Gemini, Cloudflare

GitHub

Federated Learning · Distributed ML

FedAsync

Implements FedAsync and FedBuff using PyTorch Lightning and ResNet-18. Simulates heterogeneous client behavior and asynchronous aggregation across distributed nodes.

PyTorch, Flower (flwr), Python, ResNet-18

GitHub

Recommendation · Big Data

SmartBites

ML-based restaurant recommendation system powered by the Yelp Open Dataset. Distributed PySpark pipelines for feature engineering and AWS SageMaker for model training at scale.

Python, PySpark, AWS SageMaker

GitHub

NLP · Real-Time Classification

Disaster Severity Classifier

Transformer-based NLP pipeline classifying disaster severity from 11,000+ social media posts at 91% F1. Streaming inference at 100+ posts/sec with geospatial hotspot aggregation.

PyTorch, Hugging Face, Scikit-learn, GeoPandas

Geospatial · Equity Analysis

Equitable Transit Access

Distributed geospatial pipeline joining 50M+ GTFS transit records with census demographics. Revealed 23% lower transit access in low-income neighborhoods; 4 route recommendations for 40K+ residents.

Apache Spark, GeoPandas, Scikit-learn, AWS

Time Series · Forecasting

Time Series Forecasting

IBM stock price analysis and forecasting: stationarity testing (ADF), ARIMA modeling, and out-of-sample prediction with confidence intervals.

R, ARIMA, Time Series

GitHub

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Get In Touch

Let's work together!

I'm currently open to full-time AI/ML, Data Science, and ML Engineering roles starting 2026. If you're building systems where AI meets real constraints and real users, I'd love to connect 🤝

📍 My Location

📍

Location

Chicago, IL

✉️

apatel210@hawk.illinoistech.edu

📞

Phone

(312) 284-9308

About Me

FIND ME ONLINE

CERTIFICATIONS & BADGES

Technical Skills

Education & Experience

My Projects

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