Seye ADARAMOLA

About

Over 4 years of IT experience in rapid application design, development, testing, deployment, documentation, and end user support. Experience in agile development of solution architecture, process modeling from defined business requirements, and ability to deliver high-quality solutions within specified timelines. My objective is to leverage my analytical and problem-solving skills to help organizations make data-driven decisions that drive business growth and improve operational efficiency.

• SAS Enterprise and Python (Pandas, NumPy, SciPy, Matplotlib, Scikit Learn)
• Power FX, Power Apps (Canvas and Model-driven), Power Automate, Microsoft 365
• SQL, Microsoft Dataverse, SharePoint Online, Azure
• HTML, CSS, JSON
• Power Platform ALM, GitHub
• Statistical and analytical knowledge
• Excellent collaborator and team player
• Critical thinker and always ready to learn.
• Excellent problem-solving skills and result driven

Fraud Detection Analysis - Python

The objective of this project was to develop a system that can detect fraudulent transactions within a financial dataset. In this report, we will analyze the problem that the system aims to solve and briefly discuss its key features. The system can query transactions, computing the distance between transactions, generating various statistics on the transactions, and identifying and flagging fraudulent transactions. The user interface is designed to be user-friendly and flexible, allowing for ease of use.

PENSION FUND ADMINISTRATIVE COSTS - SAS Enterprise

PFARG's aim was to investigate the administrative costs of pension funds, and to relate these costs to measures of the size, turnover and administrative complexity of the funds. PFARG set up a number of pre-requisites for considering a fund eligible for analysis (for example, funds with a large overseas sector, or with important variables missing from their returns were excluded) and this reduced the number of funds to be investigated to 45.

As a business intelligence consultant for PFARG, tasked to investigate the administrative efficiency of the various schemes. In order to do this, they have identified the total cost per active member as the relevant performance indicator. Because premises costs are known to be extremely idiosyncratic and variable, and furthermore outside of the control of pension fund managers, we will therefore investigate only the total cost per active member, excluding premises costs (in £)

More

Investigating the administrative costs of pension funds. Evaluating the size, schemes, administrative complexity of  the funds and critically  provide recommendation metrics on how to enhance the administrative effectiveness of the pension plans.

Power Platform

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Contact

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Elements

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