Daryush Parsi

Objective: Business Analyst + Data Engineer seeking to contribute and grow in financial services, healthcare, and cybersecurity in New York. I deliver end-to-end data-driven solutions to benefit all stakeholders. My chief competitive advantage is serving as interpreter between business executives and technical teams to unlock the enterprise’s full potential using data analytics, machine learning, and artificial intelligence:

·        Understand the true problem statement

·        Communicate teams’ needs, logic, language to each other

·        Access, organize, analyze, visualize, interpret data

·        Utilize full range of statistical and programming skills

·        Design, implement, maintain solutions

·        Collaborate and coordinate closely with stakeholders

·        Draw on 25 years data analytics experience

Professional Summary

·        Created valuation and trading solutions for two fund management companies with combined AUM $3 billion

·        Advised fund managers, family offices, and private investors on $17 million in equities and derivatives

·        Automated financial reporting for major hospital system, saving 32 staff hours per month

·        Developed comprehensive data analytics expertise in Excel, Python, R, SQL, SAP, SAS, Stata, MS Power Platform

·        Trained in relational database/warehousing, econometrics, prescriptive/predictive analytics

·        Specialized in data and information system solutions for investment management and healthcare

Technical Expertise

·        Data Modeling: Supervised/Unsupervised Machine Learning, Artificial Intelligence, Regression Analysis

·        Data Mapping: SAP HANA, Azure Data Factory, AWS Glue, SQLAlchemy, PowerQuery, Python (Pandas, Polars)

·        Data Analysis & Reporting: Python (Numpy, Pandas, Scikit-Learn, Matplotlib, Seaborn), R, SQL, Power Query, BigQuery, Azure ML, SAP Business Objects (SAP BOBJ, WEBI), SAP Cloud Analytics, Power BI, Excel/VBA

·        Robotic Process Automation (RPA): Automation Anywhere, Ui Path, Power Automate

·        Cloud Platforms: AWS Cloud, Google Cloud Platform, Microsoft Azure

·        Statistical Packages: Stata, SAS

·        Microsoft Office Suite

Degree Programs

·        M.S., Cybersecurity, University of Houston, GPA: 4.0 (anticipated December 2026)

·        M.S., Business Analytics and Artificial Intelligence, University of Texas at Dallas, GPA: 3.64, August 2024

·        M.B.A., Finance, University of Houston, GPA: 3.33, December 1998