Data Analytics Computer Science

EDUCATION

• California State University,

Fullerton, CA

Bachelor of Science,

Computer Science

• Shahid Sadoughi Technical

College, Iran

Bachelor of Science,

Mechanical Engineering

CERTIFICATIONS

• Google Data Analytics 2024

Frameworks & Tools

Intermediate:

• RStudio

• PyTorch

• Tableau

• VS Code

• GitHub

• Linux

• Office 365

Programming Languages

Intermediate:

• SQL

• C

• C++

• Python (Pandas, Numpy,

Matplotlib, Plotly)

Professional Attributes

• Strong written and verbal

communication skills

• Team player thriving in

fast-paced environment

• Quick learner with a passion

for financial markets

• Strong attention to detail,

especially in capital markets.

INTERESTS

• Stock Market Analysis

• Volunteering

• Camping and Outdoor Leadership

LANGUAGES

• English (Fluent)

• Persian (Native)

SASAN EJBARI

669-***-**** *.**********@*****.*** Manhattan, NYC GitHub: github.com/sasanejbari1 linkedin.com/in/ sasanejbari1 CAREER OBJECTIVE

• Quantitative Researcher with a strong foundation in Computer Science and over 3 years of experience applying statistical techniques, machine learning, and algorithm development. Skilled in Python, C++, and R for building trading models using complex financial data. Passionate about quantitative analysis and financial modeling.

EXPERIENCE

Data Developer, Safavieh, Riverside, CA (Remote)

April 2022 - Present

• Analyzed customer and sales data using Python and SQL, streamlining data workflows and reducing report generation time by 30%.

• Delivered predictive models in Python to forecast product demand, helping improve inventory decisions and increase sales by 5%.

• Designed and maintained interactive Tableau dashboards, giving managers real-time insights and enabling 15% faster business decisions.

• Audited and cleaned product data across platforms, fixing errors in 12% of SKUs, which improved listing accuracy and customer satisfaction. Research Student - Computer Security, Fullerton, CA October 2020 - 2021

• Analyzed technical findings using Python and LaTeX, producing a 82-page report that informed 3 strategic IT decisions for MediDoc.

• Used Wireshark and Nmap to investigate network protocols, identifying 6 critical vulnerabilities and reducing exposure to threats by 40%.

• Recommended 5 hardware/software upgrades based on risk analysis using Kali Linux and access logs, lowering breach risk by an estimated 25%. PROJECTS and CERTIFICATION

Google Data Analytics Professional Certification, Coursera August 2023 – April 2024

• Mastered SQL, R, and Tableau by completing 180 hours of coursework and labs, focusing on data cleaning, analysis, and visualization to support business decisions.

• Completed a capstone project analyzing 1 million+ rows of e-commerce data, applying statistical techniques to uncover insights that result in three key recommendations for improving customer retention and conversion. Python Projects

September 2022 - 2024

• Built a predictive trading model using Pandas and Matplotlib to generate buy/sell signals based on economic events (e.g., Non-Farm Payroll).

• Created a text-based Blackjack game using object-oriented programming principles, showcasing clean software design and coding practices.

• Led the end-to-end development of a Pong game, mastering game mechanics and contributing to all stages of the software development lifecycle.

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