Deborah Okeanemeh Erhahi

ERHAHI DEBORAH Data Scientist No. 4 Mojisola Street, Ifako Agege-Ogba, Lagos State, Nigeria,-,-|-| LinkedIn | Github PROFESSIONAL SUMMARY: Analytical and detail-oriented data scientist with hands-on experience in data analysis, visualization, and machine learning. Proficient in Python, SQL, Excel, and Power BI. Skilled in extracting insights from complex datasets, building predictive models, and delivering actionable reports and dashboards. Experienced in leading end-to-end data projects and supporting data-driven decisionmaking across teams. TECHNICAL SKILLS:      Tools & Languages: Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, Excel (Advanced), Jupyter Notebook, Git, Google Sheets Data Analysis: Data Cleaning and preparation, EDA, Feature Engineering, Forecasting, A/B Testing, Statistical Modeling, data pipeline Machine Learning: Regression, Classification, Clustering, Recommender Systems Visualization: Power BI, Matplotlib, Seaborn Soft Skills: Problem Solving, Communication skills, Critical thinking, Analytical Thinking, Time Management, Team Collaboration, Attention to detail, Continuous improvement, Proactive, Project management PROJECT EXPERIENCE: LinkedIn Job Postings Market Analysis — Self-Initiated Project GitHub  Analyzed 124,000+ job postings to extract trends in salaries, job types, skills demand, and remote work.  Built interactive dashboards and machine learning models to explore market insights and forecast salaries.  Packaged the entire analysis on GitHub with visualizations, modeling scripts, and a clear README.  Tools: Python (Pandas, Matplotlib, Scikit-learn), Git Nigeria House Listings Data Analysis (2025) GitHub  Cleaned, transformed, and analyzed 24K+ real estate records using MySQL to uncover nonobvious market trends across Nigerian states and towns  Extracted actionable insights on price distribution, property types, and location-based demand, aiding data-driven decision-making  Applied exploratory data analysis (EDA) and SQL querying techniques to identify patterns in housing affordability and availability PROFESSIONAL EXPERIENCE: ALX Africa Data Scientist Intern March 2024 – May 2025  Completed a rigorous, structured data science program covering Python, EDA, statistics, and machine learning.  Built and deployed multiple data-driven solutions, collaborating with peers across Africa in agile project teams.  Delivered an end-to-end Movie Recommendation System:  Compared content-based and collaborative filtering models using real-world datasets.  Achieved 85% accuracy in predicting user preferences.  Tools: Python (Pandas, Scikit-learn), Jupyter Notebook. Pharma Ethics Limited Importation Executive | Sep 2022 – Feb 2025  Inventory Forecasting: Analyzed stock data to predict depletion dates, reducing stock-out rate by 15%.  Order & Cost Management: Processed PFIs and validated product specs, pricing, and associated costs.  Production Oversight: Approved PFIs and tracked production stages to ensure shipment readiness.  Compliance & Customs: Handled Form M, PAAR, and customs duty documentation for timely clearance.  Shipment Tracking: Ensured shipment timelines and compliance with NAFDAC and Customs requirements.  Logistics & Coordination: Managed port-to-warehouse logistics and coordinated clearing agents.  Financial Operations: Managed Exchange Control Documents and processed LC/foreign transfers.  Documentation & Reporting: Maintained end-to-end import reports from order placement to final payment. Pharma Ethics Limited Administrative Officer | Sep 2022 – Feb 2025  Conduct market research Analyzed vendor and market data to support procurement decisions.  Design and maintain structured documentation systems with digital backups to enhance data accessibility, traceability, and operational efficiency.  Monitor fleet Maintained structured digital systems for document tracking and fleet servicing. NYSC – Secondary School, Osun State Mathematics & Computer Science Teacher | Sep 2021 – Aug 2022  Taught core concepts in mathematics in mathematics and beginner computer science.  Designed interactive lessons using Microsoft Excel to teach basic data analysis.  Encouraged algorithmic thinking using real-life logic and problem-solving exercises. ACHIEVEMENTS:   Data Science & Visualization Delivered predictive models and dashboards from a 124K+ job dataset Identified job market shifts, skills demand, and salary gaps through self-led analysis     Importation & Administration Reduced clearance delays by 10% via proactive documentation Improved shipment tracking accuracy by 20% Maintained inventory continuity by minimizing stockouts by 15% Contributed to a 10% cost reduction through procurement analysis EDUCATION: University of Benin- BSc Pure and Applied Physics 2015 - 2020 References: Available on request