Jodian Campbell | Financial Data Analysis | Global Innovations in Analytics Award

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Ms. Jodian Campbell | Financial Data Analysis | Global Innovations in Analytics Award

Ms. Jodian Campbell Mercer University, United States

👨‍🎓 Profiles

👤 Summary

Data-driven professional with a strong background in analytics, business strategy, and project management. Adept at translating complex data into actionable insights and optimizing decision-making processes. Passionate about leveraging technology to enhance business outcomes.

🎓 Education

  • Python for Data Science, AI & Development, IBM (July 2024)
  • MBA in Business and Data Analytics, Mercer University, Atlanta, GA (May 2024)
  • BBA in Finance and Economics, University of Technology, Jamaica (Aug 2017)

💼 Professional Experience

  • Analytics Intern, Arbicare, Atlanta, GA (July 2024 – Present): Developed real-time dashboards and advanced data filtering techniques to enhance reporting accuracy and business strategies.
  • Client Services Officer, Strategic Alignment Limited, Kingston, Jamaica (Aug 2019 – June 2022): Analyzed complex datasets and created dynamic dashboards for clients, driving informed decision-making across various industries.
  • Project Coordinator, Sunbeam Children’s Home, St. Catherine, Jamaica (May 2018 – Aug 2019): Managed cross-functional teams and secured $1M in funding for a developmental program while leading proposal writing efforts.

🔍 Research Interests

Exploring advanced analytics, AI applications in business, and the impact of data-driven decision-making on organizational performance.

📖  Top Noted Publications
  • Authors: Paul O. Oyinloye; Jodian Campbell
    Journal: International Journal of Economic Policy
    Year: 2024
Optimizing treasury management in a high-inflation environment: A strategic framework for U.S. Financial Institutions
  • Authors: Boris A. Koffi; Jodian Campbell
    Journal: World Journal of Advanced Research and Reviews
    Year: 2024

Amal Ben Hamida | Financial Data Analysis | Best Researcher Award

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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

Bingqian li | Financial Data Analysis | Best Researcher Award

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Ms. Bingqian li, Financial Data Analysis , Best Researcher Award

Ms. Bingqian li at Nankai University, China

Professional Profile

Scopus Profile

🌟Summary

Bingqian Li is a dedicated graduate student at Nankai University, specializing in Finance with a focus on Corporate Finance. With a strong academic background and practical experience in economic research, Bingqian has demonstrated expertise in analyzing dynamic corporate production management and the impact of trade policy uncertainty on short-term financing. Their research contributions have been recognized through project selections and publications in reputable journals. Proficient in Stata, Matlab, Python, and C++, Bingqian is fluent in both Mandarin and English.

🎓Education

  • Nankai University, School of Finance
    • Master of Economics, Finance (Corporate Finance), Sep. 2022 – Jun. 2025
      • GPA: 89.16/100
      • Special Scholarships and recognition for outstanding social practice involvement.
  • Nankai University, School of Finance
    • Bachelor of Economics, Finance, Sep. 2017 – Jun. 2021
      • GPA: 85.96/100

💼 Professional Experience

Bingqian Li has gained valuable professional experience through intensive research and practical applications in economics, focusing on corporate finance dynamics. Their roles have included analyzing US manufacturing firms to uncover relationships between capacity utilization and inventory management. Bingqian has also contributed to developing dynamic production models that integrate fixed assets and capital utilization, showcasing a deep understanding of economic variables and firm-level strategies. Their dedication to high-quality research is underscored by project selections and publications that explore the intersection of economic policies with corporate financial practices.

🔬 Research Interests

Bingqian Li’s research interests span several critical areas within economics, with a primary focus on corporate finance and economic policy analysis. They are particularly interested in exploring the dynamics of production management, including the optimization of capital utilization and inventory strategies in manufacturing settings. Bingqian’s research also delves into the impacts of trade policy uncertainties on short-term financial practices, aiming to uncover how economic policies influence corporate decision-making. Their work contributes significantly to understanding the economic implications of policy changes and enhancing the efficiency and resilience of corporate financial operations in dynamic market environments.

📖 Publication Top Noted