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About Candidate
Farominiyi Ifeoluwa Michael is a driven and analytical professional with extensive experience in credit risk analysis, data analytics, and statistical research across financial services, market research, and academic sectors. With a strong foundation in risk management, business intelligence, and data visualization, I excel at leveraging data-driven insights to optimize decision-making and enhance organizational strategies.
Currently, I serve as a Credit Risk Analyst at Accion Microfinance Bank, where I conduct risk assessments, monitor loan portfolios, and develop risk mitigation strategies to support business growth while ensuring compliance with regulatory frameworks. Prior to this, I led data-driven initiatives at Independent Project Monitoring Company (IPMC), spearheading ESG ratings, SDG surveys, and sustainability assessments, providing actionable insights for strategic decision-making.
My expertise spans statistical modeling, predictive analytics, Power BI, Tableau, SQL, Python, and risk assessment frameworks. I am passionate about leveraging data for business transformation, teaching, and mentoring professionals in data analytics and risk management.
Location
Education
HND STATISTICS
OND STATISTICS
Work & Experience
Engage in a survey about Health Insurance in Lagos state, that require 5,000 questionnaires to be submitted by interviewing 5,000 respondents. I was part of the Data collection team and the individual in charge of encoding the survey response into excel for data processing and structuring. I also was part of the analysis and reporting team.
As a statistician and data analyst at Korkosh Consulting, a firm specializing in research, market research, and PhD academic research, the role from 2017 to 2021 was multifaceted and vital for the firm's success. Using tools like Excel, SPSS, Minitab, and Stata, the responsibilities included collecting, analyzing, and interpreting large datasets to support various research projects. This involved designing and implementing surveys, conducting statistical tests, and building predictive models to uncover insights and trends. Key tasks included cleaning and preparing data, performing descriptive and inferential statistical analyses, and generating comprehensive reports and visualizations to communicate findings effectively to clients and stakeholders. The role also required collaborating closely with researchers and clients to understand their specific needs and tailor analyses accordingly. In market research, the focus was on identifying consumer behaviors, market trends, and competitive landscapes to inform strategic decisions. For PhD academic research, the role involved providing statistical support for dissertation projects, including hypothesis testing, regression analysis, and multivariate analysis. Overall, the role demanded a strong foundation in statistical methods, proficiency with analytical software, and the ability to translate complex data into actionable insights, ultimately contributing to the firm's reputation for delivering high-quality, data-driven research solutions.
As a Data Analyst Instructor with expertise in Microsoft Excel, Power BI, Tableau, SQL, and Python, you will be responsible for teaching and guiding individuals or groups in the field of data analysis. Your role will involve designing and delivering training programs, developing educational materials, and providing hands-on instruction to empower learners with the skills and knowledge required to excel in data analysis roles. Responsibilities include curriculum development, instruction delivery, tool proficiency, practical assignments, individual guidance, assessment and feedback, industry updates, collaboration and mentoring, and continuous improvement. Key skills and qualifications include proficiency in Microsoft Excel, Power BI, Tableau, SQL, and Python, strong instructional skills, data analysis knowledge, teaching experience, communication skills, patience and empathy, organizational skills, continuous learning, and interpersonal skills. As a Data Analyst Instructor with expertise in these tools, you will play a vital role in shaping the next generation of data analysts and empowering professionals to thrive in the field of data analysis. Your instructional skills, technical expertise, and passion for teaching will contribute to the development of capable and confident data analysts.
As a lead statistician and data analyst at Independent Project Monitoring Company (IPMC), I have had the privilege of working on several high-profile projects that have allowed me to hone my skills and contribute to meaningful initiatives. One of my most notable experiences has been leading the statistician team on IPMC's ESG (Environmental, Social, and Governance) rating project. This project aimed to assess the sustainability performance of various organizations, providing valuable insights for stakeholders and driving positive change. In this role, I was responsible for designing and implementing statistical models to analyze the data collected from various sources. This involved developing complex algorithms to ensure data quality, identifying trends and correlations, and creating visualizations to effectively communicate findings. My expertise in statistical analysis and data visualization enabled me to provide actionable insights that informed the ESG ratings and helped organizations improve their sustainability practices. Additionally, I have been working on SDG (Sustainable Development Goals) 4 and 5 surveys, which focus on education and gender equality. These projects have allowed me to apply my analytical skills to understand the current state of these critical areas and identify areas for improvement. By analysing the data and providing recommendations, I have been able to contribute to the development of targeted interventions that can drive positive change and help achieve the SDGs.