Halima Bulama.L Email & Phone Number

Baltimore, Maryland, United States

Built an advanced classification models utilizing Random forest algorithm with 90% accuracy in identifying Ad-relevant items, enhancing marketing effectiveness.Utilized NLP packages to build text Classification model that categorized the company’s resource materials into relevant groupings for easy access.Utilized statistical analysis to conduct comprehensive research to understand Walmart’s placement algorithm, leading to a 40% increase in product visibility for client’s items, while collaborating across teams to ensure data-driven decisions aligned with business goals .Conducted in-depth prescriptive and descriptive analysis of e-commerce data using sigma business intelligence tool to uncover key insights that led to data-driven recommendations for digital marketing strategies and presented the complex technical findings and insights to stakeholders, facilitating informed decision-making, and driving actionable business outcomes.Spearheaded the creation of internal and external dashboards using various data visualization tools such as tableau, and sigma to display relevant metrics resulting in a 50% improvement in real-time performance monitoring.Built a churn prediction model using deep neural network which aims at boosting customer retention and save the company revenue in subscription renewal.

University Of Texas At Austin

Nigeria

Built and deployed classification models using decision trees to segment customers by TV show preferences, driving a 25% audience engagement boost.Analysed large-scale datasets from diverse sources, including social media and user feedback using open source packages like python, pandas, numpy and json, to extract trends and insights for decision-making in content creation and broadcasting strategies that fuelled a 30% improvement in targeted content delivery.Collaborated across teams to brainstorm on ideas and provide advertising recommendations, resulting in a 15% increase in ad relevancy. Additionally, leveraged PowerBI for visualizing results and utilized predictive analytics to forecast viewership trends for upcoming events, contributing to a 10% increase in viewership for high-impact shows.

Nigeria

Collaborated across teams to provide advertising recommendations by analyzing data and drawing insights, resulting in a 15% increase in ad relevancy.Led a team of data analysts to develop dashboards and reports using PowerBI to provide real-time insights into audience engagement and content performance, contributing to informed editorial decisions.Spearheaded data collection and labelling, elevating data accuracy by 20% for effective analysis.Conducted in-depth exploratory data analysis to identify trends, patterns, and insights, resulting in improved content strategies and programming decisions and collaborated with content creators to provide data-driven recommendations for show development, resulting in a 15% increase in viewer retention.

Abuja, Federal Capital Territory, Nigeria

Managed network administration tasks, optimizing network performance for seamless operations and monitored network health proactively, reducing downtime by 20% through rapid troubleshooting and preventive measures.Implemented robust security protocols, leading to a 30% reduction in cybersecurity incidents and vulnerabilities.Provided technical support to staff, achieving a 95% customer satisfaction rate through effective problem resolution.

Ml/ Ai Specialization, Machine Learning

Data Science

Master'S Degree, Computer Science

Bachelor'S Degree, Computer Science

Activities and Societies: Fashion designing