Seeking Full-time Opportunities
Satya Harish

Satya Harish

M.S. Economics & Data Science • Northeastern University '26

Student-Administrator Partnership Fellow • Registrar's Office

View My Projects Contact Me LinkedIn
Built an LSTM that predicts course sequences at 86.3% accuracy Fitness enthusiast with an entrepreneur mindset Built a RAG chatbot that fact-checks gym myths against PubMed research No visa sponsorship needed (CPT/OPT authorized) Hire me and get a personal trainer for free 😉 Collaborated with teams across Canada, Korea, and India Analyzed 1.6M tweets using PySpark distributed computing Built an LSTM that predicts course sequences at 86.3% accuracy Fitness enthusiast with an entrepreneur mindset Built a RAG chatbot that fact-checks gym myths against PubMed research No visa sponsorship needed (CPT/OPT authorized) Hire me and get a personal trainer for free 😉 Collaborated with teams across Canada, Korea, and India Analyzed 1.6M tweets using PySpark distributed computing

Featured Work

Data Science Greatest Hits

Click to explore the full analysis

Northeastern University

Demand-Based Scheduling

Student-Admin Partnership • Registrar Office

2025-2026

KYROS

KYROS

Gym Booking Platform • India

2025

Fitness Research Chatbot

RAG System • PubMed • Claude API

2025

Science of Strength AI

GenAI • NotebookLM • ImageFX

2025

Crime Reporting Behavior

28,821 incidents analyzed • Stata

2025

iPhone Quality Index

45 models • 14.25% CAGR

2024

Twitter Sentiment Analysis

PySpark • 1.6M Tweets • NLP

2025

TalentBridge Database

14 Tables • SQLite • ERD Design

2025

DS Salary Prediction

ML Models • Random Forest

2025

State-wise Crime Data

Factor Analysis • SPSS

2023

Market Penetration

20% Revenue Growth

2024

BI Dashboards

Tableau • 40% Better Decisions

2024

Technical Arsenal

Featured Skills

Most played skills in my data science playlist

# TITLE TOOLS LEVEL
1

ML & AI

RAG, LLMs, NLP, embeddings, predictive modeling

scikit-learn, PyTorch, sentence-transformers
2

Python & Data Engineering

ETL pipelines, data modeling, API integration

pandas, NumPy, Flask, spaCy, dbt
3

SQL & Databases

CTEs, window functions, query optimization, schema design

PostgreSQL, BigQuery, Snowflake, MySQL
4

Econometrics & Statistics

Causal inference, A/B testing, regression analysis

Stata, R (dplyr, ggplot2), Python
5

Visualization & BI

Dashboarding, KPI reporting, stakeholder communication

Tableau, Python Shiny, Plotly, Power BI
6

NLP Pipeline

Sentiment analysis, semantic search, text classification

RoBERTa, DistilBERT, VADER, NetworkX

Professional Journey

Career Tour

Venues where I've performed my data symphony

Student-Administrator Partnership Fellow
Northeastern University, Registrar Office
Boston, MA
  • University data was siloed across 3 disconnected systems with no queryable structure — engineered zero-cost ETL pipeline (pdfplumber, regex, BeautifulSoup4) parsing 5,200+ PDF pages into structured JSON, unifying 689,000+ enrollment records and producing the first complete dataset of 8,500+ courses and 8,000+ prerequisite relationships across 1,000+ programs
  • Developed 3 production ML models: Random Forest bottleneck classifier (85% Precision@20 vs. 25% baseline), Program-Aware Markov sequence model, and demand forecaster (28.7% MAE improvement) — enabling data-driven capacity planning across 23,000+ course sections for the first time
  • Ran multi-model NLP pipeline (VADER, RoBERTa, DistilBERT) across 129,000+ student evaluations; built semantic similarity search with sentence-transformers identifying 25,000+ alternative course pathways; modeled 8,500-node prerequisite graph in NetworkX for cascade risk analysis
  • Built multi-tab Python Shiny dashboard integrating all 3 university data systems — exposed prerequisite chain depth, gateway course bottlenecks, cross-program sharing ratios, and enrollment density metrics for administrators
Sept 2025 - April 2026
Business Development Analyst
Micro SaaS Capital
Remote-First • Teams across 3 Countries
  • SaaS portfolio company targeting underserved B2B verticals — applied statistical modeling and pricing algorithm optimization across product lines, identifying market penetration opportunities that drove 20% revenue growth
  • Built Tableau dashboards tracking 8+ KPIs; translated data findings for non-technical stakeholders, improving decision-making speed by 40% and directly informing product diversification strategy
Jun 2023 - Jul 2024
Grader/Teaching Assistant
Northeastern University
Boston, MA
  • Grading assignments, problem sets, and exams across multiple economics courses including Econometrics, Intermediate Microeconomics, and Statistics
  • Conducted review sessions and provided one-on-one support for undergraduate students on econometric modeling, statistical analysis, and course material
Sept 2024 - May 2026

Academic Background

Education Records

Where I mastered economics and data science

Northeastern University

M.S. in Economics

Concentration: Data Science

Sept 2024 - May 2026

3.9 GPA
Boston Location

Key Courses

Applied Econometrics Data Management & Processing Computation & Visualization Intermediate Microeconomics Macroeconomics

ICFAI Business School

Bachelor of Economics

Creative Head - Young Economists

Sept 2020 - May 2023

3.8 GPA
Hyderabad Location

Key Courses

Predictive Analytics Machine Learning Econometrics Financial Economics Derivatives
Discover Weekly

About Satya

Data scientist with an economics backbone, building things that work at scale.

💪 Fitness Meets Data
5 Years of Bodybuilding
My own fitness transformation taught me more about tracking, consistency, and evidence-based decision making than any course. Now I build tools that bring that same rigor to fitness — from a RAG chatbot that fact-checks gym myths against PubMed to an AI content pipeline making exercise science accessible.
📊 How I Think
Start With a Question
My best projects start with curiosity. The iPhone Quality Index came from wondering if Apple's innovation was actually slowing down. The crime reporting analysis started from questioning whether reporting rates were really uniform. I build the pipeline to answer the question, then let the numbers speak.
🚀 Building KYROS
Startup in Progress
Building a pay-per-session gym booking platform for India. The thesis: most gym members attend less than half the time but pay full monthly fees. KYROS lets people pay only for sessions they use. Currently building the native iOS MVP after validating demand through a landing page and user research.
✅ Work Authorization
Ready to Work
Authorized to work in the US via OPT. No visa sponsorship required.

Let's Connect

Get In Touch

Ready to collaborate on your next data-driven project

Email Me LinkedIn GitHub Download Resume