Data Science & Visualization Specialist with ETL Expertise

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Hamed Razavi

323-***-**** Champaign, IL ****0 ********@********.*** www.linkedin.com/in/hamed-razavi EDUCATION

University of Illinois Urbana-Champaign (UIUC) Expected May 2026 Master of Science in Information Science GPA: 4.00 / 4.00

• Courses: Methods of Data Science, Data Visualization, Text Mining, Database Design, Business Intelligence University of Science and Technology September 2016 - September 2019 Master of Science in Urban Design GPA: 3.56 / 4.00 University of Mazandaran September 2011 - September 2016 Bachelor of Science in Architecture GPA: 3.20 / 4.00 SKILLS

• Programming & Databases: Python, SQL, R, MongoDB, Oracle, SAS, SPSS, API, Airflow, Docker, XML

• Data Engineering & Cloud: ETL(Extract, Transform, Load), AWS, Docker, Unix, Git, API Development

• Data Science & Machine Learning: Scikit-learn, PyTorch, NLP, Regression, Classification, Clustering

• Data Visualization & BI: Tableau, Power BI, Folium, Matplotlib, Seaborn, ArcGIS, Storytelling, DAX

• Tools & Frameworks: Flask, VS Code, PyCharm, CI/CD, Jupyter Notebook, Agile PROFESSIONAL EXPERIENCE

The Center for Climate, Regional, Environmental and Trade Economics Champaign, IL Data Visualization and Analytics January 2025– Present

• Engineered interactive dashboards and county-level data visualizations (1,200+ counties) to analyze trade data.

• Automated reporting workflows, reducing manual reporting time by 40%

• Built dynamic maps to display trade flows and climate indicators, supporting policy analysis. The Office of Strategic Initiatives at the University of Illinois System Champaign, IL Data Extraction and Management Consult August 2024 - January 2025

• Built ETL pipelines for 97 counties and 1,300+ cities, boosting data availability by 95%

• Automated data cleaning and validation using Python and SQL, cutting processing errors by 30%.

• Developed visual reports and dashboards to summarize state climate initiatives for executive decision-making. Data Shakhes Company

Data Analyst March 2022 –January 2023

• Built predictive models to forecast customer behavior, improving campaign ROI by 15%

• Created automated dashboards tracking KPIs, reducing manual reporting by 20 hours/month. Paramadan Consulting Engineers

Urban Informatics Expert April 2018 – March 2022

• Analyzed public health and smart city datasets to support strategic planning and policy decisions

• Conducted statistical research and comparative analyses on public health data to support project decision-making. PROJECTS

Food Supply Chain WebGIS: Visualizing Farm-to-Fork Pathways February 2025

• Developed interactive map application to track farm-to-fork food supply chain flows across U.S. counties.

• Improved chart visualization speed by 25%, enhancing user experience. Medical Chatbot Text Mining: Analyzing Symptom Descriptions January 2025

• Applied NLP techniques to analyze medical chatbot conversations, identify symptom patterns with 85% accuracy.

• Conducted text preprocessing, clustering, and association rule mining to uncover insights from dialogue datasets. Data-Driven Insights into Los Angeles Airbnb Market Using Machine Learning Models December 2024

• Analyzed property type, and predictive models like Random Forest and ANNs, achieving 93% accuracy.

• Performed data preprocessing and feature engineering to improve model accuracy. Pay Gap Analysis: Quantifying Gender Disparities in Key Sectors April 2025

• Performed statistical analysis to identify gender-based pay disparities using regression models and ANOVA tests.

• Uncovered a 12% pay gap in Engineering and 15% in Finance, supporting data-driven equity strategies.

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