Emmanuel Isa

Experience

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  Carbon

  Feb 2019 - Jul 2019

  Data Science Intern

  <> Developed two pre-delinquency models, Random forest classifier and neural networkfor a loan dataset, trained and tested on the same dataset, and comprehensivelycompared the models arriving at a conclusion of which one was better. (Supervisedmachine learning).<> Performed unsupervised machine learning on a data by investigating a number ofcustomers that applied for loan and did a dimensionality reduction by performing principalcomponent analysis (PCA) on the data frame with over two hundred (200) features andusing the sklearn’s KMeans function to cluster the numeric PCA data frame hence,creating a customer segmentation python script.<> Used the google big query and the SQL interface to work on a customer bill payment and customerloan data, obtained highly interesting insights and displayed results using google data studio.<> Worked with a data containing loan application information of customers, performed various statistical and exploratory analysis using the python programming language andvarious software libraries. Show less

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  INTELFORT NIGERIA LTD

  Aug 2019 - Sept 2020

  Business Intelligence Analyst

  <>Data scientist, United Bank for Africa advanced analytics project, was responsible forintegrating data from various sources and building machine learning models with Azuredata bricks which includes customer segmentation models, customer life time value,customer churn models and survival analysis models<>Team lead, Zenith bank Data Warehousing project. Was responsible for designing data tables, designing ETL processes and assigning tasks to my team members, planning and supervising power BI visualization report.<>Worked with a team on a Zenith bank channels analytics project , leveraging the power of Microsoft AZURE to perform ETL and cloud computing and created data visualisations WITH MICROSOFT POWER BI, and was also responsible for managing the ETL pipelines<>Worked with a team to deliver Predictive analytics for Fidelity Bank on customer analytics, customer segmentation, product recommendation and customers that will churn, by building machine learning models and visualising the results WITH MICROSOFT POWER BI<>Worked with a team to deliver Predictive analytics for ALAT by Wema Bank on customer analytics, customer segmentation, product recommendation and customers that will churn by building machine learning models and visualisation with POWER BI <>Worked with a team to perform data CLEANSING tasks for TONY ELUMELU FOUNDATION using Data quality services on Microsoft data quality client , SQL server integration services and SQL server management system <>Worked with a team on Data warehousing project for Africa Prudential plc, was responsible for creating ETL for the data and also reporting the data in the data warehouse using MICROSOFT POWER BI Show less

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  HumberOne (Humber International Limited)

  Sept 2020 - Jan 2022

  Senior Data Analyst

  <> Senior Data Analyst for a Bank gamification project, was responsible for coming up with month-on-month optimization plans to better improve the campaigns and activate more customers to perform more transactions and also ensure that the subsequent month does better than previous months, where all decisions, plans and extrapolations made were purely and strictly data driven and was able to drive bank transactions and revenue by over 4000% in incremental figures. <> Was also able to resurrect dormant bank account using data driven optimization and contact strategy by studying the behavioral and demography of the customers. Show less

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  Reliance Health

  Feb 2022 - now

  Senior Business Intelligence Analyst

  <> Implemented comprehensive reporting systems for various key areas of the organization, including utilization, telemedicine, claims, providers, and diagnoses. These reports were generated using ICD10 coding standards, providing a consistent and informative view of the data.<> As a specialist in data visualization, I developed Tableau dashboards for the corporate retention team to enable prompt access to critical revenue and upsell performance data. The dashboards were designed to be dynamic and real-time, providing a comprehensive view of team performance and contributing to the team's success, as demonstrated by consistently elevated NRR numbers exceeding 100%.<> To enhance customer satisfaction, I created Tableau visualizations for monitoring CSAT scores from various sources including corporate clients, enrollees, and providers. This approach resulted in improved CSAT scores that consistently exceeded the company's threshold. I also developed visualizations for the brand and growth division to monitor important metrics such as MQLs, web sessions, online purchases, and ad analytics, resulting in a significant improvement in conversion ratios and eCommerce conversion rates.<> I devised interactive Tableau dashboards for each division within the organization, enabling departments to monitor crucial performance indicators in real time, leading to a noticeable boost in their overall performance.<> Possessing proficiency in both Snowflake SQL and MySQL, I write complex SQL queries to extract meaningful insights from healthcare datasets. I fully utilize both database platforms being used by the company to deliver results that meet the organization's needs.<> To support clinical location decision-making, I created a geographical map visualization of medical claim volumes in Tableau. The map provided valuable insights into high-density areas, allowing for further investigation into granular data such as street names and neighborhoods. Show less