Olokota Taiwo Oluwafemi

Team Lead (Volunteer) at FUTA-LISA

Led a student volunteer team focused on data collection, statistical analysis, and report generation. Organized and coordinated collaborative projects involving real-world data from diverse sectors. Delegated tasks among team members and ensured timely delivery of data insights. Applied tools such as Excel and SPSS to analyze datasets and communicate findings effectively. Fostered teamwork, accountability, and technical growth among members.

Volunteer Team Lead at FUTA-LISA

Led a student volunteer team focused on data collection, statistical analysis, and report generation. Organized and coordinated collaborative projects involving real-world data from diverse sectors. Delegated tasks among team members and ensured timely delivery of data insights. Applied tools such as Excel, SPSS to analyze datasets and communicate findings effectively. Fostered teamwork, accountability, and technical growth among members.

Data Science Intern at Craftters

Conducted data cleaning and exploratory data analysis to derive actionable insights. Built and deployed a predictive model to determine customer purchase likelihood based on demographic and behavioral data. Analyzed social media sentiment data to reveal public opinions on topics and brands, delivering insights via dashboards. Examined traffic accident data to identify hotspots and contributing factors, creating interactive visualizations to support decision-making.

Data Science Intern at Intern Crafters

Conducted data cleaning and exploratory data analysis to derive actionable insights. Built and deployed a predictive model to determine customer purchase likelihood based on demographic and behavioral data. Analyzed social media sentiment data to reveal public opinions on specific topics and brands, delivering insights through dashboards. Examined traffic accident data to identify hotspots and contributing factors, creating interactive visualizations to support decision-making.

Sentiment Analysis of Customer Feedback at Self-Initiated Projects

Pre-processed customer feedback data by tokenizing text, removing stop words, and applying lemmatization. Built sentiment classification models using Vader and TextBlob to categorize feedback as positive, negative, or neutral. Applied Latent Dirichlet Allocation (LDA) to extract recurring themes from feedback data. Created visualizations, such as word clouds and sentiment distribution plots, to summarize insights and inform decisions.

Customer Churn Analysis (Project) at Self-Initiated Projects

Built a predictive model to forecast customer churn in the telecom industry using demographic, service, and usage data. Conducted exploratory data analysis to identify key drivers of churn, such as contract types and service complaints. Developed dashboards to visualize churn risk by segment and recommended retention strategies.

Research Analyst at Arch-BI

Collected, cleaned, and analyzed HR, inventory, and bookkeeping datasets to maintain data quality. Designed interactive dashboards in Power BI to monitor inventory levels, HR performance, and financial health. Generated actionable insights to optimize inventory management and improve organizational workflows. Automated routine analysis tasks, reducing manual effort and increasing efficiency for cross-functional teams. Customer churn analysis, customer segmentation and retention analysis (K-Means clustering, cohort analysis, RFM), and sentiment analysis of customer feedback using NLP techniques and topic modeling; produced dashboards and reports.

Research Analyst at SmartBiz Crux

Collected, cleaned, and analyzed HR, inventory, and bookkeeping data sets to maintain data quality. Designed interactive dashboards in Power BI to monitor inventory levels, HR performance, and financial health. Generated actionable insights to optimize inventory management and improve organizational workflows. Automated routine analytics tasks, reducing manual effort and increasing efficiency for cross-functional teams.