Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hello! I'm a data scientist and analytics engineer with hands-on experience in Python, SQL, and machine learning (scikit-learn, TensorFlow). I build production-ready APIs (FastAPI/Flask), containerized on AWS with Docker, and KPI dashboards (Power BI, Tableau) that empower teams to make data-driven decisions. I excel at building reliable ETL pipelines, translating analysis into actionable insights, and shipping models and dashboards that improve retention, revenue, and operational efficiency. I also enjoy contributing to open source and mentoring teams on data-driven strategies.…Hello! I'm a data scientist and analytics engineer with hands-on experience in Python, SQL, and machine learning (scikit-learn, TensorFlow). I build production-ready APIs (FastAPI/Flask), containerized on AWS with Docker, and KPI dashboards (Power BI, Tableau) that empower teams to make data-driven decisions. I excel at building reliable ETL pipelines, translating analysis into actionable insights, and shipping models and dashboards that improve retention, revenue, and operational efficiency. I also enjoy contributing to open source and mentoring teams on data-driven strategies.

Fahad Musrur

Data Scientist, AI Engineer, Full Stack Developer, +2





Hello! I'm a data scientist and analytics engineer with hands-on experience in Python, SQL, and machine learning (scikit-learn, TensorFlow). I build production-ready APIs (FastAPI/Flask), containerized on AWS with Docker, and KPI dashboards (Power BI, Tableau) that empower teams to make data-driven decisions. I excel at building reliable ETL pipelines, translating analysis into actionable insights, and shipping models and dashboards that improve retention, revenue, and operational efficiency. I also enjoy contributing to open source and mentoring teams on data-driven strategies.…Hello! I'm a data scientist and analytics engineer with hands-on experience in Python, SQL, and machine learning (scikit-learn, TensorFlow). I build production-ready APIs (FastAPI/Flask), containerized on AWS with Docker, and KPI dashboards (Power BI, Tableau) that empower teams to make data-driven decisions. I excel at building reliable ETL pipelines, translating analysis into actionable insights, and shipping models and dashboards that improve retention, revenue, and operational efficiency. I also enjoy contributing to open source and mentoring teams on data-driven strategies.

Available to hire

Hello! I’m a data scientist and analytics engineer with hands-on experience in Python, SQL, and machine learning (scikit-learn, TensorFlow). I build production-ready APIs (FastAPI/Flask), containerized on AWS with Docker, and KPI dashboards (Power BI, Tableau) that empower teams to make data-driven decisions.

I excel at building reliable ETL pipelines, translating analysis into actionable insights, and shipping models and dashboards that improve retention, revenue, and operational efficiency. I also enjoy contributing to open source and mentoring teams on data-driven strategies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Analyst Volunteer at Code for Good UK

December 1, 2023 - November 26, 2025

Conducted segmentation, cohorts, and funnel analysis using Python and SQL to extract insights that boosted donor engagement and campaign performance. Created and maintained interactive Tableau/Power BI dashboards with filters and drill-downs for real-time decision making; delivered reproducible code and documentation.

Analytics Engineer at ZAISystems

September 1, 2023 - September 1, 2023

Led design and deployment of end-to-end data platforms and ML pipelines to support CRM targeting, retention, and operational efficiency. Built and productionized ETL pipelines, transforming raw data into reliable insights; shipped ML models (logistic regression, XGBoost) and dashboards enabling data-driven decisions across teams. Implemented proactive monitoring with AWS CloudWatch to ensure pipeline reliability. Collaborated with cross-functional teams to translate analyses into actionable business strategies, resulting in improved targeting accuracy and campaign performance.