Zeeshan Riaz

Data Engineer - Business Intelligence @ BookerZzz

About

A passionate data professional who loves to transform raw data into actionable insights. With over 6 years of versatile experience spanning data engineering, data analysis, and data science roles.

Country

Pakistan

City

Lahore District

Industry

Computer Software

Skill

Data Engineering, Statistical Data Analysis, IT Business Analysis, Data Loading, Data Science, Business Analytics, Business Intelligence (BI), Business Analysis, Machine Learning, Data Visualization, Analytics, Data Analysis, Deep Learning, Python (Programming Language), Microsoft Excel, Visual Basic for Applications (VBA), Microsoft Office, Tableau

Experience

Data Engineer - Business Intelligence

BookerZzz

2023-2 - Present · 3 yrs 8 mos

Haarlem

Senior Data Analyst

Seeloz

2022-5 - 2023-2 · 10 mos

Senior Business Intelligence Developer

Decklaration

2021-2 - 2022-5 · 1 yr 4 mos

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%

Data Scientist

National Center for Big Data and Cloud Computing

2019-10 - 2021-2 · 1 yr 5 mos

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: 𝐑 𝐏𝐲𝐭𝐡𝐨𝐧 Other noteworthy current projects: 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜 𝐕𝐞𝐡𝐢𝐜𝐥𝐞 (𝐄𝐕) 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 𝐢𝐧 𝐏𝐚𝐤𝐢𝐬𝐭𝐚𝐧 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐬𝐲𝐬𝐭𝐞𝐦 𝐟𝐨𝐫 𝐫𝐞𝐭𝐚𝐢𝐥𝐞𝐫𝐬 𝐢𝐧 𝐞𝐥𝐞𝐜𝐭𝐫𝐢𝐜𝐢𝐭𝐲 𝐦𝐚𝐫𝐤𝐞𝐭𝐬

Teaching Assistant

Lahore University of Management Sciences

2019-9 - 2019-12 · 4 mos

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

Research Assistant

Lahore University of Management Sciences

2019-6 - 2019-9 · 4 mos

Lahore, Pakistan

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

Research Assistant

University of Oxford

2019-9 - 2019-10 · 2 mos

Worked under Dr. Simon Quinn Conducted 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.