Sobechukwu Anwunah
Data Product Manager
- |-| LinkedIn | Blog
MSc. Information Technology graduate with two years of experience in helping businesses foster datadriven decisions and solutions. Well versed in evaluating data requirements of a solution from ideation
to the monitoring of customers’ experience in production. Proficient in analysing the business question,
orchestrating data flows using SQL Server Integration Service and KPIs reporting using PowerBI,
Tableau and Data Studio. Highly resourceful, a problem solver and flexible in taking on new challenges.
Work History
Product Strategy Intern
2021-07 - 2021-09
Dow Jones, London, UK
• Optimized productivity by implementing data warehouse and analytic pipelines that automatically
generate reports on client’s KPI and deliverables periodically.
• Carried out analyses to identify profits and losses, spending patterns, cohort behaviour and overall
client’s performance across various sales regions and market sectors.
• Carried out competitive analysis on similar products to identify unique value propositions in the risk
and compliance market.
Product Officer
2021-02 - 2021-06
Hadiel, Lagos, Nigeria
• Documented user stories, specifications, and product features into detailed work order to
communicate across teams and build mandatory requirements.
• Managed and prioritised roadmap with established criteria for each milestone within the product
roadmap to measure developmental progress.
• Saved the underwriting team time from the repetitive underwriting process by using Python, Flask
and GCP App Engine to train and deploy a machine learning API that classifies subscribers based on
their prevalent medical history.
Data Control Officer
2020-04 - 2021-01
Hadiel, Lagos, Nigeria
• Compiled and reviewed database information for accuracy before input and reported errors to
necessary departments.
• Created periodic claims reports across five client systems using advanced Excel spreadsheet functions
to support business operations and inform business decisions for clients.
• Maintained the security of the product by monitoring and updating deprecated security certificates on
the server.
Fintech Analyst Intern
2020-10 - 2020-12
Fintech Sandpit, London, UK
• Expanded API providers’ geographic coverage to other regions not already existing in the marketplace
for carrying out Proof of Concept by contacting API providers through research and email marketing.
• Reviewed over 30 Fintech APIs´ features, documentation and implementation processes using
Postman, which allowed developers to focus on core integrations.
• Saved development time by suggesting and implementing additional code using Python and crontab
for renewing APIs´ access tokens periodically.
Education
Master of Science: Information Technology
2021-01 – 2022-06
Robert Gordon University - Aberdeen, UK
Relevant Modules:
Technical Skills:
•
Data Management and Warehousing
•
Python, Java, PHP, R
•
Object-Oriented Programming
•
SQL Server, BigQuery, GraphQL, dbt
•
Software Project Development
•
SSMS, SSIS, SSAS, Neo4j
•
Data Visualisation and Analysis
•
PowerBI, Tableau, Data Studio
•
Data Science Development
•
Bokeh, Plotly
B. Eng.: Petroleum Engineering
2012-11 - 2018-02
Federal University of Technology - Owerri, Nigeria
Projects
Coursework
• Using agile methodology, led a team of 6 in developing a web application using PHP, HTML and CSS.
• Using SQL Server, modelled a student feedback database for a university application.
• Developed a machine learning model using R for predicting customers that are most likely to buy a bank
product.
• Implemented a Data warehouse solution using SQL Server Integration and Analytics Service to orchestrate
ETL pipelines that captures data records and changes in an excel file located on SharePoint.
Others
• Led a company-based project in evaluating customer satisfaction in health care by implementing
algorithms such as NPS, Consensus, topic modelling using Latent Dirichlet Allocation and Vader
sentiment analysis using python.
• Won fourth place out of 10 teams in a Bank Hackathon, using python, SQL, and Azure ML studio to
build machine learning models for predicting customers that are most likely to buy a digital product
using their digital banking activities.
• Won first place out of 8 chapters at the 2019 NAICE Young Professional Technical paper presentation by
contributed to the research and development of a time series model for well performance and monitoring
using python and further development suggestions on GCP.
• Developed a machine learning model for predicting loan delinquency in customers with access to BigQuery
and PowerQuery data source using python and SQL.
