Data Scientist Business Analyst

Artimes Rashidi

Bellevue, WA 945-***-**** *******.**@*****.*** https://www.linkedin.com/in/artimesrashidit/ https://github.com/ArtimesRashidiTorghi

PROFESSIONAL SUMMARY

Business Analyst/Data Scientist with about 3 years of experience in data analytics, ETL pipelines, statistical modeling and Business Analysis, Proficient in SQL, Python, Powe BI to develop scalable data solutions that enhance decision-making and operational efficiency. Experienced in data visualization, A/B testing, and predictive modeling to uncover actionable insights. Holds two Master’s in Business Analytics (Data Science) and Economics and graduate certificate in Applied Machine Learning [link] as well as Python, and Power BI.

TECHNICAL SKILLS

Programming Languages: SQL, Python, R, STATA.

BI/Visualization: Power BI, Tableau, Matplotlib/Seaborn, MS Excel.

Databases/Cloud: AWS, Google Cloud.

Statistics: Hypothesis Testing (t-test, Chi-squared), Correlation Analysis, A/B Testing, Bayesian Analysis, Regression.

PROFESSIONAL EXPERIENCE

Data Scientist (Remote)

Digital Dash Development, Alberta, CA 04/2024 – Present

BI Dashboard Development: Designed and deployed interactive dashboards to track KPIs (Product & Customer Insights, user engagement, operational efficiency), reducing stakeholder decision time through real-time data visualization.

Statistical Modeling: Designed statistical models (hypothesis testing, regression) to optimize customer retention strategies, improving churn reduction by 2.3%.

Optimized SQL queries, reducing pipeline execution by 15% and enhancing data availability for reporting and analytics

Cross-Functional Collaboration: Partnered with engineering teams to scale data pipelines (Python, SQL) across 3 product lines, automating ETL processes and reducing manual reporting efforts by 2h weekly.

Designed and presented interactive dashboards using Power BI, visualizing key metrics such as sales trends, customer acquisition costs, and campaign performance, enabling executive leadership to make faster decisions.

Collaborated with cross-functional teams to deliver solutions that aligned with client goals and business objectives

Business Analyst/Data Scientist (Practicum Internship)

Imperium Data Network, Tampa, FL 08/2023 – 12/2023

Designed a Power BI dashboard for CRM analysis, removed redundant and non-usable data from data sources, reducing Power BI query processing time by 10%.

Conducted market research and competitor analysis, calculating B/C ratio and PVR. Identified key opportunities and threats in the market landscape and effectively tracked KPIs to inform strategic decisions Using Power BI.

Conducted A/B testing on pricing strategies, leading to a 5-7% increase in CTR through data-driven optimizations.

Business Analyst (Remote, part time)

Digital Dash Development, Alberta, CA 01/2022 – 07/2023

Automated SQL queries to clean and transform customer data, reducing reporting errors and support requests.

Factored SQL queries powering Power BI reports, improving dashboard responsiveness and real-time insights delivery

Define requirements for interactive visualizations of customer data by region, gender, age, and balance to support business decisions. Deliver 5-10 key visualizations tailored to stakeholder needs using Power BI.

EDUCATION

Master of Science in Business Analytics (Data science track) [link]

University of Texas at Dallas, Dallas, TX 01/2022 – 12/2023

Master of Science in Economics [link]

University of Texas at Dallas, Dallas, TX 08/2021 – 12/2023

Bachelor of Science in Economics

University of Allameh Tabatabai, Tehran, IR 09/2016 – 06/2021

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