RESUME PORTFOLIO SAN JOSE, CA

JENIL
KATHROTIA

Data Science student at San Jose State University focused on ML systems, data pipelines, and production-ready APIs. I enjoy turning messy data into reliable, scalable solutions. Most of my energy goes toward understanding how things work end-to-end from data collection and cleaning to model building and deployment. I'm drawn to problems where the data is imperfect and the path forward isn't obvious, because that's usually where the most interesting work lives.

VIEW PROJECTS RESUME PDF
GITHUB LINKEDIN EMAIL
Portrait of Jenil Kathrotia
ROLE
DATA SCIENCE • ML • DATA ENGINEERING
EMAIL
kathrotiyajenil3@gmail.com
PHONE
+1 (201) 725-7992
STATUS
OPEN TO OPPORTUNITIES

CONTENTS LIST

2025 EDITION
01. PROJECTS 01 02. ABOUT 02 03. EXPERIENCE 03 04. EDUCATION 04 05. TECHNICAL SKILLS 05 06. HOBBIES 06 07. GET IN TOUCH 07

PROJECTS

ML + data engineering projects with deployment-focused thinking.

SEARCH PROJECTS

ADLABS AUTONOMOUS AI MARKETING OS

TYPESCRIPTREACTGOOGLE GEMINICOMPOSIO SDKSSE
  • Built a multi-agent AI system that autonomously researches markets, generates ad copy, and simulates consumer behavior to optimize marketing performance in real time.
  • Integrated live data feeds from Reddit, TikTok, HackerNews, and Google Search Console via Composio SDK for real-time market intelligence.
  • Designed a synthetic A/B testing simulator scoring ads against thousands of consumer profiles to predict CTR before spending on real campaigns.
  • Built a React + SSE streaming dashboard to visualize the autonomous agent loop and generated ad creatives live.
CODE

CAREGUIDE AI — VERIFIED VOICE AGENTS FOR MEDICAL NAVIGATION

TYPESCRIPTREACTGOOGLE GEMINISUPABASEDENO
  • Voice-first medical navigation app — speak a symptom, get verified guidance and matched specialists in seconds.
  • 3-stage AI agent pipeline (Extract → Research → Verify) with an independent safety agent that can override urgency and rewrite unsafe outputs.
  • Live agent orchestration UI, structured symptom tables, and automatic emergency detection with 911 CTAs.
CODE

LAUNCHPILOT AI — AGENTIC PRODUCT LAUNCH WORKSPACE

NEXT.JSTYPESCRIPTOPENAI GPT-4oPOSTGRESQLSTACK AUTH
  • Drop in a raw product idea — 7 AI agents research, strategize, write copy, and package a verified launch kit in under 60 seconds.
  • Sequential agent pipeline with structured handoffs, real-time progress animation, and auto-refinement when quality scores dip below threshold.
  • Team-scoped workspace with RBAC (Stack Auth), API key management, verification scoring (0–100), and one-click markdown export.
CODE

CUSTOMER CHURN PREDICTION API

PYTHONSCIKIT-LEARNFASTAPIDOCKERCI/CD

Built an ML churn model and exposed real-time predictions via a FastAPI REST service. Packaged with Docker and structured for CI/CD-style deployment.

CODE

HOUSETS — HOUSING DATA PIPELINE

PYTHONPYSPARKGCPETL

Designed an end-to-end pipeline to clean and process 890K+ U.S. housing records, scaling transformation with PySpark + Google Cloud Storage and analyzing trends across 6,000+ ZIP codes.

CODE

HACKAGENT (SECURITY COPILOT)

NEXT.JSAWS BEDROCKNEO4JAI SDK
  • Built an AI-driven DevOps dashboard to automate cloud infrastructure security and reduce alert fatigue.
  • Integrated Neo4j to query and visually map the attack path and blast radius of compromised resources.
  • Leveraged AWS Bedrock (Claude 3.5 Sonnet) to dynamically generate human-approved CLI remediation commands.
CODE

WINE QUALITY ANALYSIS

RSTATISTICSDATA VIZR MARKDOWN
  • Conducted statistical analysis on ~6,500 wine samples to determine factors influencing quality.
  • Performed outlier detection, hypothesis testing (t-tests), and Pearson correlation using R.
  • Visualized key findings, proving mathematically that alcohol content is the strongest predictor of wine quality.
CODE

VOLUNTEER HOURS TRACKING

EXCELAUTOMATIONDATA OPS

Managed a volunteer database of 200+ individuals and automated attendance + hours tracking to streamline reporting.

ABOUT ME

I'm a Data Science undergraduate at San Jose State University (anticipated GPA: 4.0). I've worked as a Design-Lab Intern at the University of Arizona, applying structured problem-solving (Empathize, Define, Ideate, Prototype) and collaborating on tools for socially conscious organizations.

I'm aiming for roles where I can build high-quality data pipelines, develop ML services, and improve product decisions with analytics.

Editorial photo
FOCUS
PIPELINES • ML APIS • CLOUD

EXPERIENCE

Roles that built research, communication, and execution skills.

AUG 2023 — MAY 2024

DESIGN-LAB INTERN — UNIVERSITY OF ARIZONA, TUCSON, AZ

  • Gathered requirements from 10+ user groups to define project scope and turn ambiguous problems into actionable goals.
  • Performed data analysis on survey responses to identify trends; found 80% of users faced the same core challenges.
  • Designed and built a web-based toolkit that simplified complex tasks for non-technical users.
  • Collaborated cross-functionally with designers and stakeholders, iterating on solutions through multiple feedback cycles.
  • Owned the full project lifecycle from research to delivery, documenting processes for reproducibility and team knowledge sharing.
JUL 2020 — MAY 2022

LAB ASSISTANT — RMG MAHESHWARI ENGLISH SCHOOL

  • Assisted with experiments and instrument setup.
  • Documented tests, measurements, and results.
  • Supported students with collaboration and presentations.
JUL 2020 — JUL 2022

VOLUNTEER COORDINATOR — ROTARY CLUB SURAT

  • Managed a volunteer database of 200+ individuals.
  • Tracked attendance and contribution hours using Excel automation.
  • Coordinated logistics and data collection for events.

EDUCATION

Academic background.

SAN JOSE STATE UNIVERSITY

AUG 2024 — PRESENT

Bachelor's — Data Science (In Progress)

Current GPA: 3.52 (Engineering Dean's List)

RMG MAHESHWARI ENGLISH SCHOOL

JUL 2020 — JUL 2022

High School Graduate

GPA: 3.7

TECHNICAL SKILLS

Tools and technologies I use.

PROGRAMMING

Python, SQL, R, MATLAB, C, C++, Java, Rust, Go

MACHINE LEARNING & AI

Scikit-learn, Clustering, Classification, Optimization Algorithms, Predictive Modeling, Recommendation Systems

DATA SCIENCE & ANALYTICS

Pandas, NumPy, PySpark, Data Wrangling, ETL Pipelines, A/B Testing, Root Cause Analysis, Statistical Modeling

VISUALIZATION & TOOLS

Tableau, Matplotlib, Excel, Git, GitHub, Docker, Google Cloud Platform, Jupyter Notebooks

SOFT SKILLS

Critical Thinking, Analytical Problem-Solving, Cross-Functional Collaboration, Effective Communication

HOBBIES

Activities that keep me active, focused, and balanced.

Horse riding
HORSE RIDING

Building confidence, balance, and focus through the bond between rider and horse.

Hiking
HIKING

Exploring trails and nature to reset focus and maintain mental clarity.

Cycling
CYCLING

Endurance rides that build stamina, clear the mind, and explore new routes and nature.

Gym training
GYM

Strength training and consistency to stay sharp physically and mentally.

GET IN TOUCH

Send a message or copy my email.

EMAIL
kathrotiyajenil3@gmail.com
GITHUB
github.com/jenilkathrotia
LINKEDIN
linkedin.com/in/jenil-kathrotiya