Skill set (7)
Michael in a few words
SENIOR DATA SCIENTIST
Proactive and result driven senior data scientist with hands on experience in transforming business requirements into analytical models, business Intelligence tools, and Machine Learning algorithms that scales across customer, products, systems, and competitor’s data. Adept at delivering end to end analytical requirements using data gathered from multiple sources and presenting the findings to key stakeholders. A passionate data science and business intelligence enthusiast with experience of working with telecommunication, automotive, retail, utilities, and environmental data. I possess excellent verbal and written communication skills required to communicate effectively with clients, teams, and management. A creative, astute, and self-motivated individual who can perform excellently within teams, work independently, mentor junior team members, and manage multiple demanding tasks simultaneously.
Experience
- Severn Trent Water (Contract)Data ScientistAugust 2022 - Today (2 years and 4 months)Coventry, UKOngoing projects•Working with stakeholders to gather and refine analytical requirements.•Water leakage detection model using data gathered from sensors installed on water meters.•Water demand forecasting.•Analyzed the effectiveness of a marketing campaign and created a report which was used as the discussion material between my current company and the Environment Agency.•Contributing to the development of a bespoke MLOps platform (e.g. using cookiecutter to setup project folder).•Built management information report using Power BI to track water leakage in the company water system•Mentor junior team members
- British Telecom (BT)Data ScientistMarch 2021 - August 2022 (1 year and 5 months)Birmingham, UKWorking with stakeholders to gather and refine analytical requirements to understand customer upsell journey.•A/B testing of marketing message before deploying to the wider audience.•Built and productionized a propensity model to predict which customers are likely to buy more data at various price points.•Built and productionized a propensity model to predict which customers are likely to upgrade to a new plan.•Built a model to predict which customers will use all their data the following month.•After building the models, prescriptive analysis (e.g expected value) is undertaken to determine the best prices to go to different customer segments.•Designed a testing framework for the marketing team.•Carried out statistical analysis eg proportional tests between the test and control group to understand the effectiveness of the model output in real life.•Mentoring junior team members Achievement•Increased revenue generation and opt-outs have decreased.
- Pairview LimitedData Scientist (Projects)March 2020 - February 2021 (11 months)London, UKProjects completed•Working with stakeholders and subject matter experts to gather various analytical requirements and transforming requirements from abstract concepts, through design, extensive interrogation of the data and modelling, to actionable insights that will deliver the business goals.•Trained, tested and validated multiple machine learning algorithms using Python to predict customers that are likely to churn and provided recommendations on how to prevent churn.•Built recommendation engine based on alternating least squares method and implicit information gathered from customers to increase company revenue and support cross sell initiatives.•Utilised Logistic regression to predict customer credit risk•Implemented RFM methodology to create customer segments and understand customer's lifetime value•Performed a 5-year forecast to predict quarterly sales by region using ARIMA methodology.•Clustered customers using K-Means unsupervised machine learning technique•Conducted market basket analysis using Apriori algorithm to understand common items within customer transactions.•Integrated and consolidated data from multiple sources to build dashboards, reports and other solutions based on business requirements using SQL, PowerBI and Tableau•Developed sales and operational performance dashboard to track channel, regional, products categories performance using both Power BI and Tableau•Carried out competitor analysis using Beautiful soup library to scrape the web and competitor website for information
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Education
- Master of International StudiesUniversity of Cologne2015International Master of Environmental Science
- Bachelor of ScienceKwame Nkrumah University of Science and Technology (KNUST)2010BSc. Agricultural Engineering.