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Zeeshan Riaz is a seasoned data engineer and analyst with a strong educational background in economics and computer science. He has extensive experience in developing ETL pipelines, automating reporting, and working with various data sources. With a teaching assistant role at Lahore University of Management Sciences, Zeeshan has honed his skills in data analysis and statistics. He is proficient in tools like Tableau, SQL, and Coursera courses in data science and visualization.

Credentials

  • Data Science Specialization
    The Johns Hopkins University
    Sep, 2020
    - Apr, 2026
  • Visualizing Citibike Trips with Tableau
    Coursera
    Aug, 2020
    - Apr, 2026
  • SQL for Data Science (by UC Davis)
    Coursera
    Jul, 2020
    - Apr, 2026

Experience

    • Data Engineer
      • Feb 2023 - Present

    • Senior Data Analyst
      • May 2022 - Feb 2023

  • Decklaration
    • Lahore, Punjab, Pakistan
    • Senior Business Intelligence Developer
      • Feb 2021 - May 2022
      • Lahore, Punjab, Pakistan

      >Developed ETL pipelines to dump data from 9+ data sources to cloud (AWS RDS and AZURE SQL DB)>Automated most of the manual work for daily reporting, decreasing time spend on client reports by 80%

  • National Center for Big Data and Cloud Computing
    • Lahore District, Punjab, Pakistan
    • Data Scientist
      • Oct 2019 - Feb 2021
      • Lahore District, Punjab, Pakistan

      Worked under Dr. Naveed Arshad on multiple projects, such as:𝐒𝐡𝐨𝐫𝐭-𝐭𝐞𝐫𝐦 𝐰𝐢𝐧𝐝 𝐟𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠:Under this project, we are providing wind forecasting services to wind power plants in Pakistan. The forecasting services meet the standards provided in Grid Code of National Electric Power Regulatory Authority (NEPRA).𝐼 ℎ𝑎𝑑 𝑡ℎ𝑒 𝑜𝑝𝑝𝑜𝑟𝑡𝑢𝑛𝑖𝑡𝑦 𝑡𝑜: >Model and forecast wind speed and power by using 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐄𝐧𝐞𝐫𝐠𝐲 𝐝𝐚𝐭𝐚.>Automate the process for forecast delivery. The models are run at required granularity and the forecasts are sent to respective authorities. All of this is now being done without human intervention. The team keeps themselves busy by constantly improving the modelling techniques in order to further enhance the accuracy.𝑀𝑜𝑑𝑒𝑙𝑙𝑖𝑛𝑔 𝑡𝑒𝑐ℎ𝑛𝑖𝑞𝑢𝑒𝑠 𝑒𝑥𝑝𝑙𝑜𝑟𝑒𝑑 𝑠𝑜 𝑓𝑎𝑟:𝐃𝐞𝐞𝐩 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 (𝐃𝐍𝐍)𝐑𝐞𝐜𝐮𝐫𝐫𝐞𝐧𝐭 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 (𝐑𝐍𝐍𝐬), 𝐞𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐥𝐲, 𝐋𝐨𝐧𝐠 𝐒𝐡𝐨𝐫𝐭-𝐓𝐞𝐫𝐦 𝐌𝐞𝐦𝐨𝐫𝐲 (𝐋𝐒𝐓𝐌)𝑃𝑟𝑜𝑔𝑟𝑎𝑚𝑚𝑖𝑛𝑔 𝑙𝑎𝑛𝑔𝑢𝑎𝑔𝑒𝑠 𝑢𝑠𝑒𝑑:𝐑𝐏𝐲𝐭𝐡𝐨𝐧Other noteworthy current projects:𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜 𝐕𝐞𝐡𝐢𝐜𝐥𝐞 (𝐄𝐕) 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 𝐢𝐧 𝐏𝐚𝐤𝐢𝐬𝐭𝐚𝐧𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐬𝐲𝐬𝐭𝐞𝐦 𝐟𝐨𝐫 𝐫𝐞𝐭𝐚𝐢𝐥𝐞𝐫𝐬 𝐢𝐧 𝐞𝐥𝐞𝐜𝐭𝐫𝐢𝐜𝐢𝐭𝐲 𝐦𝐚𝐫𝐤𝐞𝐭𝐬

    • Pakistan
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Sep 2019 - Dec 2019

      Assisted Dr. Saher Asad as a Teaching Assistant for the course Advanced Water Economics in Spring 2018

    • Research Assistant
      • Jun 2019 - Sep 2019

      Economics DepartmentWorked under Dr. Sehar Asad on multiple research projects, such as:Policy implication: Non-filers unability to purchase cars above 1300 ccStudying the spending patterns of federal and provincial governments on print media

    • Research Assistant
      • Sep 2019 - Oct 2019

      Worked under Dr. Simon QuinnConducted a survey in collaboration with Akhuwat to learn about micro-entrepreneurs. The survey comprised of many different questions including some behavioral economics ones. This main purpose of the survey was to understand how well these micro-entrepreneurs knew about their asset and the market.

    • Teaching Assistant
      • Sep 2018 - Dec 2018

      Assisted Dr. Muhammad Farid Ahmed as a Teaching Assistant for the course Principles of Economics in Spring 2018

    • Teaching Assistant
      • Jan 2018 - May 2018

      Assisted Dr. Saher Asad as a Teaching Assistant for the course Statistics and Data Analysis in Spring 2018

Education

  • 2014 - 2018
    Lahore University of Management Sciences
    BSC (Hons), Economics

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