Faline Rezvani

View the Project on GitHub FalineRezvani/portfolio

6 years’ experience in business administration, quality assurance, and providing support to clients, students, and faculty. 3 years’ experience in data preprocessing, validation, and reporting. Proficient in SQL, Python, and Excel as needed to develop queries that gather data points most useful in interactive dashboards. Committed to translating business needs into clear insights through communication to varied audiences.

WORK & VOLUNTEER EXPERIENCE

Treasurer (Aug. 2024 – Present)

South Lancaster Academy Home & School Association

Creating opportunities for community members to support teachers & students, and to share questions & ideas.

Data Storytelling Volunteer (Mar. 2023 – Sep. 2023)

YWCA Golden Gate Silicon Valley

Multi-service agency empowering communities, achieving solutions, & inspiring opportunities.

Site Lead (Mar. 2016 – Jun. 2022)

Whitson’s Culinary Group

Top-tier dining service provider specializing in diverse sectors from educational to emergency programs.

Program Specialist (Nov. 2011 – Jan. 2016)

Fun Enterprises, Inc.

Interactive event planning company creating experiences for clients, employees, & students throughout the U.S.

PROJECTS

Examining Employee Attrition (Dec. 2023)

Analysis of data collected from an employee questionnaire has uncovered three key influencers on employee attrition.

Sales and Sentiment Dashboard (Mar. 2024)

Aggregation of multiple sources to build storyline of sales, returns, and sentiment.

COVID Information Commons Data Essentials Project (Feb. 2025)

Ethical data cleaning and analysis, development of working hypothesis, and communication of the process with recommendations.

Understanding Pedestrian Risk (Jan. 2025)

Examining motor vehicle crash characteristics related to increased pedestrian risk in the U.S.

Sentiment Analysis (Sept. 2024)

EDA, text pre-processing, & feature extraction on IMDb Reviews dataset. Compiling, training, testing, & evaluation of a classification model using adaptive boosting (Ada Boost) algorithm.

U.S. Dept. of Transportation Data Science Project (Oct. 2024)

Identification of time series trends, seasonality, and residuals of Motor Vehicle Collisions – Crashes in NYC dataset. Geospatial data processing and visualization.

UMGC Office of Communications Marketing Video (Aug. 2024)

Explored why professionals in every industry should understand the value of automation with AI.

EDUCATION

University of Maryland Global Campus (Oct. 2022 – Dec. 2024)

B.S. Data Science – GPA 3.88