Data Analytics Analyst

Jean-Marc CHARLES

Chicago, IL *********@***.*** **********@*****.***

US mobile: +1-786-***-**** HT mobile +509-****-**** linkedin.com/in/jeanmarccharles PROFESSIONAL PROFILE

Results-driven finance professional with over a decade of expertise in financial planning, data analysis, and payment systems within central banking. Proven ability to deliver accurate planning, forecasting, and reporting functions to support data-driven decision-making. Recently earned an M.S. in Business Data Analytics, with a specialization in financial modeling and advanced analytical tools. Trilingual leader recognized for strategic thinking, meticulous, attention to detail, and a commitment to excellence in corporate finance and operational efficiency.

CORE COMPETENCIES AND SKILLS

Financial Planning and Analysis (FP&A), Budgeting and Forecasting, Financial Reporting and Compliance, Data Analysis and Visualization, Data Mining, AI applications, Integrated Management Systems (ISO 9001, OHSAS 18001, ISO 14001), Forecasting and Financial Modeling using advanced MS Excel, Data Mining, Statistical Analysis, Tableau, MS Excel, Power BI, SQL, Machine Learning, Predictive Analytics, Investment Management, data systems, advanced Financial Modeling using Python, R, Excel VBA, and IBM SPSS, with proficiency in English, French, and Spanish (Trilingual).

EDUCATION

1. Loyola University Chicago, Quinlan School of Business – Chicago, IL, USA M.S. in Business Data Analytics and Finance - Aug 2024 2. Formato Educativo, Escuela de Negocio – Madrid, SPAIN Executive MBA in Digital Business Transformation – Oct 2022 3. Universidad Interamericana de Puerto Rico, Recinto Metro – San Juan, PR Executive MBA– June 2020

4. Institut des Hautes Etudes Commerciales et Economiques (IHECE) – Port-au-Prince, Haiti B.S. in Accounting - Nov 2018

PROFESSIONAL EXPERIENCE

Central Bank of Haiti (BRH) – Port-au-Prince, Haiti Accountant, Stock Manager, and Data Analyst – Network and Cash Department Oct 2018 – Present

• Spearheaded monthly financial reporting and statistical analysis for payment systems, providing actionable insights to senior leadership and ensuring compliance with central banking policies.

• Led data-driven decision-making by preparing accurate capital and cash flow forecasts, enhancing liquidity management through automation and improved forecasting accuracy.

• Streamlined operational efficiencies by implementing best practices in data collection and analysis, reducing errors by 15%, and establishing a standardized reporting framework, cutting ad-hoc analysis time by 20%.

• Collaborated with cross-functional teams to resolve discrepancies in payment systems, including RTGS, ACH, ATMs, and cash inventory management, ensuring seamless operations. Account Manager– Network and Cash Department Mar 2012 – Oct 2018

• Verify the authenticity and compliance of transfer orders, provide recommendations to the Department Manager or Assistant on appropriate actions for transfer requests, and reconcile all transactions at the end of each day.

• Regularly update specimen signatures, verify accounting entries before submission for approval, monitor key accounts, explain balance discrepancies, and maintain accurate account registers.

• Act as the liaison between the Current Accounts Department, other DCR departments, and the Bank, ensuring smooth operations and addressing all matters related to current account activities. PROJECT WORK

Applied Artificial Intelligence, Loyola University Chicago, Chicago, IL

• Developed and optimized a Machine Learning Model to forecast housing prices utilizing extensive real estate data.

• Performed comprehensive data cleaning, exploratory data analysis, and feature engineering to ensure a high-quality dataset.

• Collaborated with a team to interpret model results and deliver actionable insights for the real estate market. Co-Author: "AI in the Financial Services Industry" summary, Quinlan School of Business, Loyola University Chicago

• Created a comprehensive summary of the conference organized by the AI Business Consortium, focusing on high-risk AI applications, strategic alignment with business goals, and innovative trends in the financial sector.

• https://www.luc.edu/leadershiphub/centers/aibusinessconsortium/publications/3rdquarter2024/aiinthefinancialservicesindustry conferencesummary/

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