Samuel Babalola

Experience

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  Klins Manufacturing

  Feb 2018 - Feb 2022

  Graduate Data Analyst

  • Developed predictive models using Python and R to forecast equipment maintenance needs resulting in reduced unplanned downtime by 20% through proactive maintenance scheduling, resulting in cost savings and improved productivity. • Leveraged advanced analytical tools such as Excel, Python, and SQL to analyze financial data, identifying trends and insights that informed strategic decision-making. • Applied statistical techniques to interpret financial data, enabling data-driven insights into budget allocation and resource optimization. • Liaised with marketing to drive email and social media advertising efforts, using predictive modeling and clustering, resulting in a 35% increase in revenue. • Conducted data analysis using Python, R, and SQL to optimize manufacturing processes resulting in a 15% reduction in production downtime by identifying and addressing inefficiencies in the manufacturing workflow. • Conducted exploratory data analysis to identify trends and patterns in engineering performance showing areas for process improvement, resulting in a 10% increase in product quality and customer satisfaction. • Utilized Tableau to create dashboards and reports for monitoring key performance indicators (KPIs) resulting in Increased visibility into production metrics, leading to a 10% improvement in overall equipment effectiveness (OEE) and a 5% decrease in defect rates. Show less

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  Lifeguard Group.

  May 2022 - Aug 2023

  Growth Analyst

  • Achieved a 20% increase in revenue/profit margins through in-depth analysis of large datasets using Python, R, and SQL, leading to actionable insights. • Developed and implemented data models and algorithms that identified trends, resulting in a 15% improvement in operational efficiency and a 10% reduction in costs. • Collaborated with cross-functional teams to define project objectives, driving improvement in key performance indicators and facilitating business growth. • Led initiatives to optimize data collection, storage, and processing workflows, resulting in a 95% reduction in data errors and a 50% increase in data accessibility. • Presented clear and compelling data visualizations and reports to senior management and stakeholders, leading to informed decision-making and a 15% increase in stakeholder satisfaction. • Analyzed global opportunities for the company's membership tiers, leading to the design and introduction of a new tier projected to generate 30k new users in its first year. • Analyzed, organized, and disseminated data across departments to evaluate the effectiveness of current methods. • Developed a predictive model using R to forecast demand for a new product line, resulting in a 25% increase in sales. Show less

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  Blayhub Consulting.

  Oct 2023 - now

  Business Intelligence Analyst

  • Analyzed data from 2500 monthly active users to inform marketing and product strategies, resulting in a 2x increase in average app engagement time and a 30% decrease in drop-off rate. • Developed Tableau dashboards to visualize core business KPIs, saving 10 hours per week of manual reporting work. • Utilized Python and SQL to extract and analyze customer data from a MySQL database, leading to a 15% increase in customer retention. • Created interactive Tableau dashboards to visualize sales performance, empowering the sales team to identify top-performing products and regions. • Developed dashboards displaying sales performance against goals, marketing campaign effectiveness, and 20+ other key metrics, enhancing executive visibility into business operations by 48%. • Identified improvement opportunities by analyzing key metrics and KPIs related to user acquisition, retention, and monetization across 10+ cross-functional teams. • Examined data from various sources including web traffic and marketing campaigns to provide insights into business performance and customer behavior. Show less