Oluwasogo Paul Oyinloye | Financial analysis | International Analytics Leadership Recognition Award

Mr. Oluwasogo Paul Oyinloye | Financial analysis | International Analytics Leadership Recognition Award

Mr. Oluwasogo Paul Oyinloye at Babcock University, Nigeria

👨‍🎓 Profile

📊 Summary

I am a highly analytical and process-oriented professional dedicated to enhancing financial process efficiency. With expertise in data analysis and strategic forecasting, I identify market trends and manage financial risks, driving informed decision-making in dynamic environments.

🎓 Education

I hold an M.Sc. in Finance from Babcock University (2017 – 2020), where I focused on macroeconomic variables and their impact on living standards. Additionally, I earned a B.Sc. in Statistics from Ekiti State University (2011 – 2015), with a project on queuing theory applied to ATMs.

💼 Professional Experience

Currently, I serve as the Chief Financial Officer at Anywhere Health, where I formulate financial strategies and oversee budgeting for telemedicine services. Previously, I was the Finance Operation Manager at Lori Systems, streamlining financial processes in logistics, and I began my career as Support Staff at the National Bureau of Statistics, conducting vital economic research.

🔍 Research Interests

My research interests focus on the interplay between macroeconomic variables and living standards, alongside developing financial forecasting models to enhance strategic decision-making in healthcare and logistics sectors.

📖  Top Noted Publications
Inflation and standard of living in Nigeria

Authors: PI Ogbebor, JA Oguntodu, PO Oyinloye
Journal: Developing Country Studies
Year: 2020

Modeling a Time Study of the United States Consumer Price Index from 2014 to 2023

Author: PO Oyinloye
Journal: American Journal of Applied Statistics and Economics
Year: 2024

Employee Attrition and its Impact on National Cash Flow: A Case Study of the United States Economy in 2024

Authors: PO Oyinloye, J Campbell
Journal: International Journal of Economic Policy
Year: 2024

Amal Ben Hamida | Financial Data Analysis | Best Researcher Award

Dr. Amal Ben Hamida | Financial Data Analysis | Best Researcher Award

Doctorate at Institute of Actuarial and financial sciences (ISFA), University Claude Bernard Lyon 1, France

👨‍🎓 Profiles

Orcid Profile
Google Scholar Profile
Research Gate Profile

👩‍🎓 Academic Backcround

Dr. Amal Ben Hamida is a Ph.D. student in Finance at the University Claude Bernard Lyon 1 and the University of Sousse. She focuses on statistical learning algorithms for portfolio optimization. Dr. Ben Hamida holds a Bachelor’s and a Master’s degree in Finance and Actuarial Sciences from the Institute of High Commercial Studies of Sousse. She has published two papers in prestigious journals and has taught at École Centrale de Lyon and IAE Lyon. Currently, she is an ATER at the University of Paris-Est Créteil.

🎓 Education

  • Bachelor’s Degree in Finance: Institute of High Commercial Studies of Sousse
  • Master’s Degree in Finance and Actuarial Sciences: Institute of High Commercial Studies of Sousse
  • Ph.D. in Finance: University Claude Bernard Lyon 1 and University of Sousse

💼 Professional Experience

  • Current Position: ATER at the University of Paris-Est Créteil
  • Past Teaching Positions: École Centrale de Lyon, IAE Lyon
  • Previous ATER Position: University of Jean Monnet

🔍 Research Interests

Dr. Amal Ben Hamida’s research interests are centered around several key areas in finance and statistical analysis. She is deeply involved in Financial Markets 📈 and Time Series Analysis 📊, focusing on understanding and predicting market behaviors. Her expertise extends to Statistical Analysis 🔢 and Portfolio Management and Optimization 💼, where she applies advanced algorithms to enhance financial decision-making. Additionally, Dr. Ben Hamida explores Econometrics 📉 and Applied Mathematics ➗ to develop robust models for financial forecasting. Her work also encompasses Financial Economics 💵 and Statistical Distributions 📚, integrating Artificial Neural Networks 🤖 and Mathematical Statistics 📏 for innovative analytical approaches. Her dedication to Applied Statistics and Computational Statistics 🔬 underscores her commitment to advancing financial research through rigorous and cutting-edge methodologies.

📖 Publications

The link between abnormal numbers and price movements of financial securities: How does Benford’s law predict stock returns?

  • Authors: Amal Ben Hamida, Christian de Peretti, Lotfi Belkacem
  • Journal: International Review of Financial Analysis
  • Year: 2024

 Machine learning based methods for ratemaking health care insurance

  • Authors: Amal Ben Hamida, Manel Kacem, Christian de Peretti, Lotfi Belkacem
  • Journal: International Journal of Market Research
  • Year: 2024