Mohammed S. Rahman — Mathematics

Two tracks, one foundation

I work the full distance between theory and production. A math background gives me the modeling rigor; hands-on work with the modern data stack gives me the engineering. Below is the same person, viewed two ways.

Data Engineering build

Designing pipelines and warehouses that move and reshape data reliably — orchestration, modeling, and cloud infrastructure. Comfortable from SQL optimization down to bootloaders and paging.

Data Science model

End-to-end predictive modeling grounded in statistics — feature work, model selection, and honest evaluation. I care about what a metric actually means, not just that it went up.

Selected projects

P.01

A/B Test Analyzer

Python · SciPy · Streamlit · Docker · GitHub Actions

A statistical engine for experiment analysis built from first principles — Welch's t-test, Mann-Whitney U, Bonferroni and Benjamini-Hochberg corrections, and exact noncentral-t power analysis — behind a Streamlit interface where a product manager uploads an experiment CSV and gets a full report with effect sizes, bootstrap CIs, and minimum-detectable-effect diagnostics. Every guarantee is verified by Monte Carlo simulation, not assumed.

5.3%

Type I error, calibrated vs 5% nominal

57.6% → 5.4%

error rate, uncorrected → BH (FDR)

360

tests vs SciPy / statsmodels / R benchmarks

Live demo ↗ View repository ↗ Technical report ↗ Experiment readout: onboarding email ↗ Experiment readout: pricing page ↗

P.02

Customer Churn Prediction

Python · scikit-learn · XGBoost · SHAP · Streamlit

End-to-end ML pipeline comparing Logistic Regression, Random Forest, and XGBoost on telecom customer records, with SHAP interaction analysis to surface the real drivers of churn. Deployed as a live Streamlit app.

0.85

ROC-AUC (held-out)

7,043

customer records

models compared

View repository ↗

P.03

Predicting Apartment Sale Prices · Queens, NY

R · randomForest · rpart · ggplot2

Compared regression tree, OLS, and random forest models on Queens co-op and condo transactions. Used permutation importance to rank predictors and handled high-missingness features with median imputation plus missingness indicators.

0.79

out-of-sample R²

$6.5K

RMSE gain vs OLS

521

transactions

View repository ↗

P.04

Brazilian E-Commerce Analytics

PostgreSQL · SQL · Power BI · Python

A 9-script PostgreSQL analytics pipeline over 100K+ Olist orders, with reusable views for revenue, retention, delivery, and seller performance. Surfaced a clear link between delivery speed and review scores in a 5-page Power BI dashboard.

$15.4M

revenue analyzed

8.11%

late-delivery rate

1.5★

late vs on-time gap

View repository ↗

P.05

E-Commerce Data Platform Rebuild

Python · Kafka · Airflow · Snowflake · dbt

A production-grade modern data stack pipeline streaming 100K+ Olist e-commerce orders through Kafka into Snowflake, orchestrated by Airflow DAGs. dbt models the raw data into a dimensional schema with 21 passing tests and full generated documentation.

100K+

orders streamed

dbt tests passing

91.88%

on-time delivery rate

View repository ↗

Background

Experience

Analyst, Performance

TerraForm Power (Brookfield Renewable) — New York, NY

Oct 2026 — Present

Build and maintain Python ETL pipelines on Databricks with Delta Lake, managing ingestion, transformation, validation, and delivery to reporting tools for ~2,200 MW of wind, solar, and battery storage assets.
Support generation reporting and production guarantee calculations, integrating weather datasets and performance models, and build automated outputs including Streamlit apps and HTML reports.
Support vendor API integrations and data quality monitoring with error handling, logging, and automated alerting; document pipelines and data dictionaries and contribute to team code reviews.

Middle School Math & ELA Teacher

Practice Benefit Corp

Apr 2025 — Oct 2026

Designed assessments and used performance data to improve instructional outcomes.
Communicated complex quantitative concepts to diverse learners.

Data Entry Specialist

Carmichael International Service

May 2022 — May 2024

Processed U.S. Customs documentation, improving workflow efficiency by 15%.
Performed data validation, reconciliation, and compliance checks for data integrity.

Education

M.A. in Mathematics

Queens College, CUNY — Flushing, NY

Enrolled · Starting Fall 2026

Graduate study extending undergraduate work in algebra, analysis, and cryptography.

B.A. in Mathematics

Queens College, CUNY — Flushing, NY

Graduated Spring 2026

Real Analysis, Abstract Algebra, Point-Set Topology, Multivariable Calculus.
Post-Quantum Cryptography, Data Science & Machine Learning.
Resumed studies in 2024 after two years in data operations.

Certifications

IBM Data Science Professional Certificate

Educative Computer Science Bootcamp

Mohammed
Rahman∎

Two tracks, one foundation

Data Engineering build

Data Science model

Toolkit

Selected projects

A/B Test Analyzer

Customer Churn Prediction

Predicting Apartment Sale Prices · Queens, NY

Brazilian E-Commerce Analytics

E-Commerce Data Platform Rebuild

Background

Let's build something
that holds up.

Two tracks, one foundation

Data Engineering build

Data Science model

Toolkit

Selected projects

A/B Test Analyzer

Customer Churn Prediction

Predicting Apartment Sale Prices · Queens, NY

Brazilian E-Commerce Analytics

E-Commerce Data Platform Rebuild

Background

Let's build somethingthat holds up.

Let's build something
that holds up.