AI Portfolio
Dynamic professional with a solid foundation in banking and two years of experience in data analysis and client services. Eager to leverage advanced analytical skills in data science. Proficient in data analysis, statistical modeling, and data visualization tools, with a demonstrated ability to extract valuable insights from complex datasets. Seeking a challenging opportunity to apply my competencies in data science and analytics, contributing to innovative solutions and driving business success.
Experience
Data Glacier
Data Science Internship 2024
• Acquired proficiency in using git version control system for managing code repositories for collaboration.
• learned the use of flask framework for deploying ML models into production environment.
• Performed data wrangling ,preprocessing, exploratory data analysis, visualization and hypothesis testing using Python libraries such as Pandas, NumPy, Matplotlib, Seaborn
• Applied critical thinking and problem-solving skills to identify challenges, propose solutions, and overcome obstacles encountered during data analysis and model development processes.
• Contributed to feature engineering efforts by selecting, transforming, and creating new features from raw data to improve model performance and interpretability.
• Gained proficiency in relational databases, SQL programming language, database management systems (DBMS) such as PostgreSQL, SQL Server, and SQL querying tools for data manipulation, analysis, and reporting.
•Utilized data analysis tools and techniques to conduct comprehensive assessments of account usage patterns, transaction frequencies, and identification of transaction errors, contributing to improved customer satisfaction metrics.
• Conducted in-depth analysis of transactional data to proactively identify fraudulent activities, errors, or operational inefficiencies, resulting in a 50% reduction in fraudulent transactions and a 25% increase in operational efficiency.
• Developed and maintained interactive reports and dashboards to monitor key payment processing metrics, enabling real-time decision-making, and improving operational transparency by 30%.
• Collaborated closely with cross-functional teams, including operations, risk management, and compliance, to address complex payment-related challenges, facilitating knowledge sharing and alignment of strategies, leading to a 20% reduction in payment processing time.
Globus Bank Ltd
Data Analyst (fulltime) 2022
• Proficiency in various tools and platforms for data analysis and visualization, including Excel, SQL, Tableau, power BI and Python libraries such as pandas, Matplotlib, NumPy, and seaborn.
• Knowledgeable in research methodologies, statistical analysis, and data modelling techniques, encompassing hypothesis testing, regression analysis, and time series analysis.
• Familiarity with machine learning concepts and techniques, including regression and classification methods such as Linear, Lasso, Ridge, logistic, Elastic net, and Regression trees.
• Proficient in data management practices, including relational databases and SQL, as well as Object-Oriented Programming (OOP) principles.
• Proficiency in Microsoft Office suites, particularly in financial analysis and reporting tasks. These skills are valuable for conducting financial modelling, budgeting, forecasting, and generating insightful financial reports to support business operations and strategic planning.
★★★★★
Technical skills
Master of Science (MSc.) Economics
University of Liverpool Management School 2023
(Vice-Chancellor’s International Attainment Scholarship)
Oduduwa University Ipetumodu, Osun State
Bachelor of Science (B.Sc.) Economics (First Class Hons.)
Utiva | Binance
Data Science Academy
IBM Data Science Professional (in view)