Open to opportunities

Kareem Makki

@kareemmakki

Data Scientist and Analytics Engineer delivering production-ready pipelines and ML products across fintech, capital markets, and sports.

Lebanon

Message

What I'm looking for

I’m looking for a team where I can own end-to-end data products—pipelines, analytics, and ML to production—while partnering with stakeholders on requirements and governance for real business impact.

I’m a Data Scientist and Analytics Engineer (MSc Data Science) with 5+ years building production data products across capital markets, fintech, and sports analytics. I focus on turning ambiguous business questions into reliable data and measurable model outcomes.

I build end-to-end data pipelines that run in production: SQL transformation layers with schema tests and data quality audits, dimensional data models, and BigQuery marts. I also deliver insights through dashboards in Tableau, Power BI, Excel, and Plotly, used by C-suite and institutional investors.

I ship machine learning to production, including fraud and risk classifiers (91% precision / 85% recall), churn models (0.89 ROC-AUC), demand forecasting (Prophet, SARIMA, LSTM) improving accuracy 30%, and NLP pipelines over bilingual Arabic/English text. I pair modeling with explainability and monitoring so performance holds up over time.

Beyond modeling, I translate requirements into delivery frameworks—designing fit-gap assessments, backlog construction, and governance for digital banking and core banking platform delivery. As Founder of The Hoop Scientist, I open-source probability-driven sports analytics and publish calibration-tracked win-probability models.

Experience

Work history, roles, and key accomplishments

Current

Founder & Creator

Current

The Hoop Scientist

Jun 2026 - Present (2 months)

Built and open-sourced the Playoff Odds Engine in Python, including data ingestion into BigQuery marts, Elo + XGBoost modeling, and Monte Carlo simulation. Published win-probability models with public calibration tracking and authored a roadmap on probability through computer vision.

Python Pandas Polars Git GitHub NBA API BigQuery XGBoost Monte Carlo Simulations Calibration Computer Vision

Current

Senior Training Consultant

Current

Kaplan Middle East & North Africa

May 2026 - Present (3 months)

Develop and localize finance training courses for the Saudi market, including English–Arabic content delivery and production-grade RTL rebuilds. Author assessment item banks aligned with SAMA guidelines and deliver instructor-led Power BI data analytics training.

Power BI Financial Education Instructional Design

Current

Business Analyst (Consultant)

Current

ICC DMCC (ICC Group)

Jan 2026 - Present (7 months)

Delivered business analysis for digital corporate/commercial lending on a cloud-native core banking platform, covering discovery, requirements documentation, BPMN process modeling, fit-gap, and backlog construction. Defined customization governance and translated bilingual stakeholder requirements into epics and user stories prioritized for MVP delivery.

Business Analysis Backlog Management Agile Scrum Definition Of Ready MoSCoW WSJF User Stories Epic

Current

Senior Data Analyst & IR Manager

Current

Sahmik

Apr 2021 - Present (5 years 4 months)

Engineered Python and SQL ETL/ELT ingestion pipelines for QSE market data supporting daily investor reporting for 5+ years. Built dashboards and analytics including anomaly detection, forecasting, clustering, and NLP pipelines over bilingual Arabic/English news and filings to support investor briefing and KPI scoping.

Python SQL ETL ELT Data Quality Null Audits Prophet ARIMA SpaCy NLTK Topic modeling Investor Reporting

Data Scientist & Analytics Consultant

Upwork

Feb 2022 - Apr 2026 (4 years 2 months)

Delivered end-to-end machine learning engagements across healthcare, finance, and real estate, shipping production models in Python. Developed churn, fraud/risk, and demand forecasting systems; migrated workflows to Azure ML with retraining and drift monitoring; and ran A/B tests, causal analyses, and NLP sentiment/topic modeling.

Python scikit learn XGBoost LightGBM SHAP Random Forest SMOTE Class Weighted Training Demand Forecasting Prophet SARIMA Azure ML Drift Monitoring A B Testing Scipy NLP Sentiment Analysis Topic modeling

Data Analyst

800 Storage

May 2025 - Sep 2025 (4 months)

Structured raw ERP and operations data into dimensional fact and dimension tables using MySQL and Python for repeatable reporting pipelines. Built incremental refresh flows with validation and reconciliations, and shipped Tableau and Power BI KPI dashboards for C-suite daily performance reviews.

MySQL Python Dimensional Reporting Data Pipelines Window Functions Tableau Power BI KPIs

Course Instructor (BI & Data)

Coursera / Nimblebot

Feb 2025 - Mar 2025 (1 month)

Launched guided-project courses on business intelligence and data science, including a financial reporting course using Tableau. Supported course delivery to enrolled learners with content focused on core BI/data science concepts.

Course Development Business Intelligence Data Science Tableau

Outsourcing Accountant

MOORE Lebanon & Iraq

Mar 2019 - Jun 2021 (2 years 3 months)

Implemented chart of accounts redesign and supported tax compliance and financial analysis for multiple clients using QuickBooks and Twinfield. Supervised an internship program and helped improve financial statement preparation efficiency through improved transparency.

Accounting Tax Compliance Financial Analysis Quickbooks Twinfield Financial Reporting

Research Assistant

AUB Suliman S. Olayan School of Business

Mar 2019 - Mar 2021 (2 years)

Analyzed the impact of AS18 auditing standards on S&P 1500 firms using 500+ SEC 10-K filings. Produced peer-reviewed research published as an academic paper on related party transactions and audit quality.

SEC 10 K S&P 1500 Research Academic Peer Review