Farhad Azadjoutabari

About Farhad Azadjoutabari

I hold a Bachelor\'s and a Master\'s degree in Computer Engineering, which have equipped me with a strong educational foundation and valuable expertise. These professional qualifications have provided me with diverse knowledge and skills, enabling me to approach and solve complex problems across multiple disciplines.Now, as a dedicated student of the Master of Business Analytics program at The University of Texas at Dallas, driven by a relentless passion for problem-solving and analytics, I aim to forge a career in the fields of data analytics, business intelligence, or strategic decision-making.With close to 7 years of experience in data engineering, data analytics, and data science, I have honed my programming, database management, machine learning, data mining, data processing, and data visualization skills and expertise. I thrive on tackling complex challenges and extracting actionable insights from vast datasets.An outstanding achievement of mine includes developing a comprehensive algorithmic system, harnessing the power of data analytics to optimize various operational processes. This endeavour involved employing machine learning techniques to identify valuable patterns and implementing robust strategies to enhance performance and efficiency.Throughout my professional journey, I have worked with esteemed companies such as Eveince, ParticleB, and Miras Technology Internationals as a co-founder, engineer, analyst, and scientist. These experiences have afforded me invaluable insights into various industries, further sharpening my problem-solving abilities.I am fascinated by the intricate dynamics of business operations and relish employing quantitative methods to inform strategic decisions. I firmly believe that integrating advanced knowledge, such as machine learning and data analytics, into business can unlock untapped opportunities.Moving forward, my aspirations center around contributing my expertise and joining innovative companies that effectively navigate complex challenges by skilfully leveraging data and analytics to drive growth and efficiency. I am eager to collaborate with like-minded professionals in the industry, leveraging my skills and knowledge to drive impactful outcomes.Feel free to connect with me on LinkedIn to explore potential opportunities, discuss industry trends, or share insights. Let\'s make a meaningful difference together!

Experience

1. Senior Data Analyst

   Gradient Systematics, Llc

   Jan 2025 — Present · Dallas, TX, US

   Designed and implemented an AI‑driven ETL pipeline to parse semi‑structured, multi‑sheet Excel traffic counts into a centralized database—processing 3 million+ records in under an hour with >98 % accuracy. Integrated traffic count data with geospatial model shapefiles, creating a comprehensive geographic database that combines network attributes and preprocessed counts for seamless spatial analysis. Developed interactive Tableau and Power BI dashboards to empower traffic modelers with intuitive search, aggregation, and visualization of hourly/weekly profiles and weekday/weekend comparisons, reducing manual data prep time by over 70 %. Consolidated multimodal traffic feeds (Replica, TomTom, Google) into a master geospatial database, delivering unified, link‑level traffic insights for advanced modeling. Led socioeconomic data analytics and projection efforts, validating against external sources and building BI dashboards to track population, income, and employment trends alongside forecasts. Automated web scraping (Selenium) for live and historical traffic data, enhancing model calibration and boosting predictive performance. Engineered a QGIS‑Python link‑matching pipeline to align speed profiles and route directions across networks—slashing manual join times from hours to under 10 minutes with >99 % accuracy. Built an automated aggregation process for TransCAD/CUBE outputs to generate screenline/gantry summaries and stick‑diagram inputs, accelerating model result comparisons by 50X. Authored GISDK macro scripts for TransCAD, automating scenario setup, network modifications, and BIN/CSV output generation—enabling rapid, error‑free iteration across multiple calibration scenarios.

Education

• Isfahan University of Technology

  Bachelor's Degree, Computer Hardware Engineering

  2009 — 2014

• University of Tehran

  Doctor of Philosophy - PhD, Computer Engineering

• NODET(National Organization for Development of Exceptional Talents)

  High School, Mathematics

  2005 — 2009

• Sharif University of Technology

  Master's Degree, Computer Architecture

  2014 — 2016

• The University of Texas at Dallas

  Master's degree, Business Analytics