ABDULJELIL AKANDE ADEOLA
081******** adg24r@r.postjobfree.com www.linkedin.com/in/akande-abduljelil SUMMARY
Data Science Intern with six months’ experience in data science in the banking sector. Fresh graduate with a can- do and positive attitude. Committed to resolving operational and product issues through data and automated tools to maximize clients’ satisfaction. Able to combine business and technology to drive business objectives by conducting both qualitative and quantitative research to establish challenges hampering on growth. An innovative and performance-driven individual adept at recommending innovative solutions to bridge technological and product specification issues. Currently looking for entry-level positions in Data Science or Data Analysis. WORK EXPERIENCE
Sterling Bank Plc
Data Science Intern Dec 2019 – June 2020
· Designed user-friendly interactive dashboards through Power BI for 3 different units to optimize customer service and facilitate decision-making processes.
· Enhanced product marketing strategies by improving data collection processes through data extraction from various websites using different web scrapping tools.
· Analyzed covid19 impact on directorate and customer’s revenue through fact-finding exercises.
· Performed forecast and analysis on account opening data to strengthen customer engagement and product definition.
· Created competitive analysis report for strategy unit.
· Conducted end-to-end analysis of processes, clients’ interactions, and service improvements.
· Created a Bond prediction model for the treasury unit.
· Cleaned, transformed, processed, mined, and documented data through quantitative analysis. EDUCATION
B.Sc, B.Ed Social Studies
Tai Solarin University of Education 2019
CERTIFICATION
Data Science Boot Camp –Nigerian German Centre Nov 2019 PORTFOLIO
Github.com/devadeola
SKILLS & EXPERTISE
Industry Knowledge
· Operations Research
· Interpersonal Skills
· Data Management
· Machine Learning
· Statistical Analysis
· Analytical Skills
· Emotional Intelligence
Languages
· English
Technology
· Data visualization
· Power BI
· Python
· SQL and AWS
· Data Analysis
· Microsoft Office Suite
REFERENCES
Available on request