Jaime Suarez

Financial Analyst/Data Analyst

Data analyst with a solid foundation of financial analysis, mostly in the oil and gas industry. My background in financial evaluation of investments opportunities provides me with an expertise to provide valuable and quantifiable insights, transferable to any industry. I am a creative thinker who likes to solve day-to-day problems.

Skills

Work experience in Oil & Gas, Construction and Financial institutions.

  • Data Analysis
  • Financial Analysis
  • Data Visualization
  • Financial Modeling
  • Machine Learning
  • Critical Thinking
  • Problem Solving
  • Innovative
  • Advanced Excel
  • Python
  • PostgreSQL
  • Tableau, Power BI and Streamlit

Projects

These are some of the projects I have worked in for my portfolio:

Credit Card Fraud Detection

This project focuses on analyzing credit card transactions to develop a machine learning model for fraud detection. Spending behaviors in both non-fraudulent and fraudulent transactions were examined through Exploratory Data Analysis (EDA), identifying key patterns. The insights gained from this project can help financial institutions detect and mitigate fraud more effectively, reducing potential losses while improving transaction security.

Energy Outlook

This project analyzes fossil, nuclear and renewable energy production and their impact on carbon dioxide emissions. Through data analysis it seeks to uncover patterns, disparities and potential mitigation strategies. Tools: Python and Excel for data cleaning and wrangling. Tableau for visualization.

Renewable Energy Outlook

This dashboard analyzes renewable energy sources in the top ten countries. It offers insights into each country's renewable energy landscape, thus allowing users to explore trends, compare contributions from different sources, and assess the progress towards renewable energy goals across these nations. Tools: Python and Excel for data cleaning and wrangling. Python and Streamlit for visualization

Medical Staffing

This project analyzes how influenza affects different age groups in the US and identifies states with higher infection rates. By pinpointing these areas, it guides the allocation of medical staff during flu season. Tools: Python and Excel for data cleaning and wrangling. Tableau for visualization.

Education

Master in Business Administration

University of New Brunswick 2018, Canada.

Applied Mathematics

Universidad Sergio Arboleda 2014, Colombia.

Bachelor in Finance

Universidad Sergio Arboleda 2006, Colombia.

Data Analyst Certificate

Career Foundry 2024.

Data Analyst Specialization

Coursera 2022.