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Philadelphia, Pennsylvania, PHONE NUMBER AVAILABLE E-mail LinkedIn15+ years of experience as a proven data professional with expertise in statistical analytics, machine learning, and data science. Cross-functional leadership in mining complex data sets and pivoting them into actionable insights for business success and exponential revenue. SKILLS: Python, SQL, R, AWS, Tableau, Power BI, Networking, Database Management, Data Mining, API, Audience Alignment, Regression Models, Probability Distribution, Project Management, PySpark, PyTorch, ETL, Big Query ML, Vertex AI, TensorFlow, Pandas, Numpy, Team Building PROFESSIONAL EXPERIENCE PROJECTS1. NBA Player MVP Prediction Model: Assembled a Random Forest algorithm predicting the MVP for the 2022 NBA season with an accuracy score of 91%. 2. Real Estate Pricing Prediction Model: Built Random Forest and Logistic Regression models predicting home prices for two East Coast cities, achieving accuracy scores of 89% and 93%.3. Toxic Comment Classification Model using LSTM: Created Binary and Multi-Label LSTM models for classification, pre-processing toxic comment data from Wikipedia edits, and achieving an F1 score of 87%. 4. MLB Pitch Classification Model: Developed a Decision Tree classifier for precise player pitch outcome identification, attaining a 90% model accuracy. 5. Race Performance analysis: Developed and implemented regression and decision models to analyze car performance data alongside timing and scoring metrics. Ebanqo Inc. Remote Lead Data Science Intern June 2023  Present Conducted Exploratory Data Analysis (EDA) on large datasets, employing data science methods to improve on-track decision-making efficiency by 30%, significantly reducing time spent on analysis. Collaborated with cross-functional teams to address 50+ data requests, ensuring seamless access to information that enhanced real-time strategy adjustments. Enhanced customer engagement from 9% to 16% by utilizing a Generated Pre-trained Transformer (GPT) Model. Leveraged Python and SQL for dynamic visualization and provided detailed reporting for effective communication with all stakeholders. Automated language models using Apache Airflow, and deployed a histogram outlier score framework to detect anomalies in chatbot interactions. Validated model performance by eliminating redundant weights and connections, reducing model size from 18% to 10%, and increasing generalization performance by upwards of +400 basis points.Data Science Intern September 2022  June 2023  Prioritized lessons learned to inform future initiatives and improve department SOPs. Created, monitored, and adjusted project plans based on critical milestones using Scrum methodologies, leading to an 80% project completion rate in the first year. AUTOMOTIVE CONSULTING Lagos, Nigeria Lead Data Analyst October 2016  August 2021 Automated waste management and supply chain using Python, reducing manual workload from 60% to 27% and boosting monthly shipments from 20% to 43%. Led team workflow to work within Waterfall, Scrum, and Kanban frameworks. Communicated project and portfolio health to multiple levels of leadership, both in writing and orally. Utilized Pandas and Numpy for data analysis, and implemented ETL techniques to communicate findings through reporting and visualization on PowerBI comprehensively. Minimized operational expenses from 33% to 12%, and transportation costs from 21.3% to 8%, through cost-saving initiatives and advanced analysis. Demonstrated end-to-end ownership and expertise across multiple projects and helped define roadmaps while identifying workflow inefficiencies CONSOL LIMITED Lagos, Nigeria Data Analyst December 2012  September 2016 Upgraded client satisfaction score from 12% to 16% through exploratory data analysis of the call center data using Tableau  Optimized workforce management with ML techniques, improving first-call resolution rates and enhanced operational efficiency  Led a $120,000 project to build a 1000-seater call center for Etisalat, which contributed to 13% of the annual target.  Improved agent performance by 20% by setting better goals based on customer satisfaction, up from 12.8% initially. INTERNET SOLUTIONS / DIMENSIONS DATA Lagos, Nigeria Network Support Engineer December 2008  December 2012 Boosted yearly earnings by 18% through analyzing customer internet usage, and identified upselling opportunities to retain customers.  Improved service reliability for business clients by creating a monitoring system, cutting network downtime from 53% to 46%.  Cut network resolution time and field engineer visits from 53% to 37% through improved troubleshooting procedures.  Analyzed internet traffic and call center data using SQL to pinpoint key customer concerns. EDUCATION & OTHER DREXEL UNIVERSITY, MS. Data Science Philadelphia, PA National Society for Black Engineers March 2022 - Present LANGUAGES: Native English fluency, Yoruba