Peter Mangoro

Data Analyst & Data Scientist · New York, NY · OPT/STEM-eligible · Open to full-time roles

I’m a Data Analyst and Data Scientist based in New York with an M.S. in Data Analytics and Visualization from Yeshiva University (May 2026) and 3+ years as a software developer building production systems. I turn messy, multi-source data into decision-ready outputs—SQL pipelines, dashboards, statistical analysis, and machine learning models that stakeholders can actually use.

Selected impact

NLP at scale

4M-review sentiment pipeline with locked holdout evaluation (F1 ~0.906, ROC-AUC ~0.966)

Healthcare ML

30-day hospital readmission models across 130 U.S. hospitals + interactive Shiny dashboard

Cloud ETL

Serverless AWS ETL from ingest → SQL analytics → dashboards at ~$1–2/month

Production systems

Software serving 10,000+ users; ~30% less manual process work; ~20% lead-conversion lift via better data/reporting

What I bring

Analytics stack

Python (pandas, NumPy, scikit-learn)
SQL
Tableau / Power BI / Excel
Streamlit
Git

ETL & data quality

Cleaning & validation
Automated pipelines
AWS Glue / Lambda / S3 / Athena

ML & modeling

Logistic / linear regression
Decision trees & Random Forest
NLP at scale
Honest holdout evaluation

Communication

Clear reporting for technical and non-technical audiences
Stakeholder-ready dashboards and demos

Education

M.S., Data Analytics and Visualization

May 2026

Yeshiva University · New York, NY

Coursework — Machine Learning, Statistics, Data Visualization, SQL/Data Management, Cloud Computing, Graph Data Science

B.Eng., Telecommunications Engineering

Nov 2021

National University of Science and Technology (NUST) · Zimbabwe

Certifications

Google Data Analytics — Ask Questions to Make Data-Driven Decisions (Jan 2025)
Google Data Analytics — Foundations: Data, Data, Everywhere (Jan 2025)
Neo4j Certified Professional (2026)
Neo4j Graph Data Science Certification (2026)

Path

My path started in telecommunications engineering, then 3+ years building production Laravel and Django backends with SQL-backed reporting. Graduate work at Yeshiva pushed that foundation into machine learning, statistics, large-scale analysis, and cloud data pipelines—so I can move past notebooks and ship analysis as dashboards, APIs, and apps people rely on.

Open to roles

Data Analyst, Junior Data Scientist, BI Analyst, and Junior Data Engineer opportunities in NYC or remote (US).

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