Ammad Niazi has a diverse work experience in the field of data engineering and business intelligence. Ammad'smost recent role was as a Data Engineer at Climate Alpha, starting in 2022. Prior to that, they worked as a Data Engineer at Addo for a brief period in 2022.
From 2019 to 2022, Ammad worked at CODE Informatics as a Data Engineer and Business Intelligence Developer. In this role, they developed visual reports, dashboards, and scorecards using Microsoft Business Intelligence tools such as MS Power BI, MS-SQL Server, T-SQL, and SQL Server Integration Services (SSIS).
Before that, they worked as a Data Analytics Engineer at the National Center in Big Data and Cloud Computing (NCBC) from 2018 to 2019. In this role, they were responsible for setting up data management platforms, ensuring data quality, and leveraging business intelligence for real-time decision-making.
Ammad also worked as a Technology Operation Engineer at ZTE Corporation from 2017 to 2018. In this role, they coordinated technical processes and implemented action plans to meet the technical requirements of the company.
Earlier in their career, Ammad worked at LCC as an Optimization Engineer, specializing in KPI, reporting, and analysis for the Telenor Pakistan project. Ammad also had a brief period as a Trainee Optimization Engineer at LCC. Additionally, they interned as an IT Operations Intern at Maple Leaf Cement Factory Limited.
Ammad Niazi completed their education in a chronological order as follows:
1. From 2018 to 2021, Ammad Niazi attended Comsats University Islamabad and obtained a Master's degree in Computer Science, with a specialization in Data Science.
2. From 2012 to 2016, they studied at the University of Sargodha and earned a Bachelor's Degree in Computer Science with Honors (BS(Hons)).
3. Prior to their Bachelor's degree, from 2009 to 2011, Ammad Niazi attended Al-Suffah Science College and completed an Associate's Degree in Pre-Engineering.
In addition to their formal education, Ammad Niazi has also obtained several certifications:
- In August 2021, they completed the "Applied Data Science with Python - Level 2" certification from IBM.
- In August 2021, they received a certification in "Data Analysis with Python" from IBM Cognitive Class.
- In June 2018, they completed the "Big Data 101" certification from IBM Cognitive Class.
- In May 2018, they obtained the "SQL and Relational Databases 101" certification from IBM Cognitive Class.
December, 2022 - present