Andres Jimenez

Andres Jimenez

Quantitative Data Analytics | Business Intelligence
Economics and International Business graduate from SDSU who transforms complex data into decisions that drive results. I've built interactive dashboards analyzing millions in transactions, performed econometric analysis on healthcare expenditure, and developed statistical models for business insights. Whether working in Python, R, or SQL, my goal is the same: turn data into insights that make a difference.

About Me

Background, interests, and goals

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Background

I'm a data analyst passionate about uncovering insights that drive business decisions. With a background in Economics and International Business from SDSU, I combine statistical rigor with business strategy to solve real-world problems.

My projects span multiple industries - from analyzing $8.9M in e-commerce transactions to uncovering patterns in 530K+ automotive deals. I specialize in turning messy data into clear visualizations and actionable recommendations.

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What I Do

  • Build interactive dashboards and data visualizations
  • Perform statistical analysis and predictive modeling
  • Extract business insights from complex datasets
  • Communicate findings to technical and non-technical audiences
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What I'm Learning

Currently expanding my skills in Python (pandas, scikit-learn), cloud platforms (AWS, GCP), and advanced SQL. Always exploring new tools and techniques to improve my analytical capabilities.

Continuously learning and adapting to new technologies and methodologies in the ever-evolving field of data analytics and business intelligence.

Projects

Medicare Expenditure Analysis

Stata Regression Analysis Healthcare

Statistical analysis of medical expenditure patterns among 2,000+ Medicare beneficiaries. Identified key drivers including retirement status, chronic conditions, and demographic factors using multiple regression models.

E-Commerce User Behavior Analytics

Python Streamlit Plotly Product Analytics

Interactive dashboard analyzing 4,338 customers and $8.9M in transactions across 37 countries. Features cohort retention analysis, geographic insights, temporal patterns, and revenue trends. Built with Python, Pandas, Plotly, and Streamlit.

Luxury Automotive Market Intelligence

Python Streamlit Market Analysis Competitive Intelligence

Strategic dashboard analyzing 530K+ automotive transactions across premium segments. Features German luxury trio analysis (Mercedes/BMW/Audi), geographic intelligence, and performance metrics. Built with Python, Pandas, Plotly, and Streamlit.

Skills & Expertise

Technical capabilities and domain knowledge

Programming & Databases

  • Python (Pandas, NumPy, Matplotlib)
  • SQL (Advanced)
  • R & R Shiny
  • Stata
  • Git/GitHub
  • Microsoft Excel

Data Visualization

  • Streamlit Dashboards
  • Plotly/Matplotlib
  • Excel Dashboards
  • Data Storytelling

Statistical Analysis

  • Regression Analysis
  • A/B Testing
  • Predictive Modeling
  • Hypothesis Testing
  • Cohort Analysis

Business Skills

  • Business Intelligence
  • Market Analysis
  • KPI Development
  • Stakeholder Communication
  • Bilingual (English/Spanish)

Get In Touch

Let's connect and collaborate

Interested in working together?

I'm actively seeking opportunities and always open to discussing projects, collaborations, or connecting with fellow data professionals.

Send Me an Email