Machine Learning Data Scientist

Patrick Edosoma Abuja, Nigeria

****************@*****.*** +234**********

linkedin.com/in/patrickedosoma datascienceportfol.io/Patrick090 Experience

• Algora inc Nigeria, Lagos

Data Scientist/Machine Learning Intern Feb 2024 - Present

Machine Learning: Reduced deployment times on AWS by implementing CI/CD automation using GitHub Actions and Docker, achieving a 25% decrease in deployment duration.

Experiment Tracking: Utilized DagsHub and MLflow for experiment tracking, improving metric visibility and accelerating model optimization by 25%.

Algorithm development: Developed an algorithm for forecasting sales, improved sales by 15%.

Data Engineering: Built an ETL pipeline to extract API data and store it in MongoDB Atlas, reducing data retrieval time by 30%.

Data Gathering: Developed a comprehensive web scraping solution to gather rental market data,Provided insights into over 200 properties.

• Bramz International Ventures (Supply) Nigeria, Lagos Junior Data Analyst July 2023 - Dec 2023

Data Optimization: Optimized data gathering procedures in collaboration with cross-functional teams, increasing data accuracy and efficiency by 30%.

Supplier Performance Analysis: Utilized Power BI to Analyze supplier performance metrics to identify improvement areas, reducing procurement costs by 12%.

Logistics Process Improvement: Streamlined logistics processes by optimizing transportation modes and routes, cutting expenses by 20% while maintaining delivery schedules.

Marketing Campaign Analysis: Analyzed campaign performance data in SQL and Power BI, identifying high-performing strategies that increased ROI by 18%.

EXTRA CURRICULAR AND CERTIFICATIONS

• BCG Data Science Job Simulation on Forage June 2025

Project Focus: Completed a customer churn analysis simulation for XYZ Analytics, showcasing advanced data analytics and strategic problem-solving skills.

Technical Work: Used Python (Pandas, NumPy) for efficient data analysis and employed data visualization to interpret key trends.

Modeling Outcome: Engineered and optimized a Random Forest model that achieved 90% accuracy in predicting customer churn.

Communication: Delivered a concise executive summary with actionable insights to support the Associate Director’s decision-making.

• British Airways Data Science Job Simulation on Forage May 2025

Project Focus: Completed a simulation focused on how data science supports British Airways’ business operations and decision-making.

Techniques Used: Web scraping, data analysis, and predictive modeling.

Outcome: Scraped and analyzed customer review data to uncover insights and trends. Built a predictive model to identify key factors influencing customer buying behavior.

• Publication (2024)

Title: Beware of the Accuracy Trap!

Journal/Conference Name: Medium

Summary: Explores the limitations of accuracy in evaluating models, particularly for imbalanced datasets.

• MCC Certified Python Expert May 2025

Education

• Cyprus International University Nicosia, Cyprus

M.S. in Information Technologies July 2023

• Delta State University Delta, Nigeria

B.Sc. in Mathematics September 2019

Technical Skills

• Programming Languages

Proficient: Python, SQL; Familiar with: C++, NodeJS

• Technologies, Tools, and Libraries

Langchain, Hugging Face, AWS SageMaker, Power BI, Excel, Git, PostgreSQL, Scikit-learn, Pandas, NumPy, NLTK, Docker,Flask

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