Data Science Visualization

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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 and Prototyping 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

• Languages: Python, R, SQL, Assembly, Unix, JavaScript, SPSS, SAS, Docker, Oracle, MongoDB, C++, ETL

• Developer Tools: Git, AWS CloudFront, VS Code, Tableau, PyCharm, Flask, Power BI, PyTorch

• Libraries: pandas, NumPy, Matplotlib, Scikit-learn, SciPy, Seaborn, Folium

• Other Softwares: Adobe Illustrator, ArcGIS(ArcMap), ENVI-met, Climate Studio, Qualtrics PROFESSIONAL EXPERIENCE

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

• Developed interactive data visualizations using 1200 counties.

• Analyzing large datasets related to trade, agriculture, climate, and population to identify key trends.

• Built and maintained dynamic maps that display trade flows, climate statistics, and regional economic data. The Office of Strategic Initiatives at the University of Illinois System Champaign, IL Data Extraction and Management Consult August 2024 - January 2025

• Spearheaded the development of a climate and health matrix, improved data gathering efficiency by 95%.

• Performed data cleaning and visualization to produce summary documents for state climate initiatives

• Conducted web scraping and API integration across Illinois state agencies, 97 counties, and over 1,300 cities. Data Shakhes Company

Data Analyst March 2022 –January 2023

• Collaborated with cross-functional teams to define data requirements and ensure alignment with business objectives.

• Developed predictive models to forecast customer behavior and optimize business strategies. Paramadan Consulting Engineers

Urban Informatics Expert April 2018 – March 2022

• Managed smart city and public health related projects, writing data analyses, program research reports

• 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

• Enhanced user experience by improving chart visualization speed by 25% and county map displays.

• Published an interactive map and delivered data-driven analysis of the nation's food supply chain. 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.

• Conducted sentiment analysis on guest reviews to understand factors shaping the short-term rental market. 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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