Taj Pirzada Ms Ml / AI
About Taj Pirzada Ms Ml / AI
Taj Pirzada is the Director of AI & Data Solutions at Alight Solutions in Atlanta, Georgia, with extensive experience in data science, machine learning, and AI across various industries.
Company
Taj Pirzada currently works at Alight Solutions as the Director of AI & Data Solutions. Alight Solutions is based in Atlanta, Georgia, United States. In his role, he is responsible for the design and strategy of market-facing solutions. Pirzada leads a team of on-shore and off-shore Data Scientists and Engineers in a consulting services model, delivering for internal and external clients. He also manages managed services contracts and special request projects for external clients and is overseeing the migration to AWS in the current environment.
Title
Taj Pirzada holds the title of Director, AI & Data Solutions, at Alight Solutions.
Previous Experience
Before his role at Alight Solutions, Taj Pirzada has held several key positions in the field of AI, Machine Learning, and Data Science. He worked at Avanade as Director, AI - Data Scientist | Intelligent Solutions Lead, from 2019 to 2020. Prior to that, from 2018 to 2019, he served as Manager | Sr. Data Scientist Cognitive Enablement at Deloitte Consulting. He was also a Sr. Data Scientist at Honeywell in the IoT | AI (Safety & Productivity Solutions - SPS) division from 2017 to 2018, and an Advisory CEO at R-Investments, Inc. from 2011 to 2015. Earlier in his career, he was a Partner at ERPFusion Consulting, LLC from 2006 to 2010.
Education and Expertise
Taj Pirzada has an extensive educational background. He studied Machine Learning & AI and earned a Master of Science in Analytics (Data Science) from Georgia State University from 2014 to 2016. He completed MBA Courses and achieved a Leadership & Management Specialization from Harvard University from 2021 to 2022. He holds a Bachelor’s degree in Economics from Rollins College and studied Computer Science at Bethune-Cookman University. His expertise includes developing and deploying supervised, unsupervised, and semi-supervised models, including Deep Learning and AI models, using toolsets like R, Python, PySpark, TensorFlow, and Databricks. He also specializes in IoT and batch data ML/AI engagements and has expertise in Explanatory Data Analysis (EDA) on both structured and unstructured data.
Achievements
Among Taj Pirzada's achievements is holding a patent (H0064685) from Honeywell - Intelligrated for Worker Efficiency – Time Measurement Optimization, supporting the warehouse employee management system. He has developed expertise in a variety of advanced data science techniques, including Internet of Things (IoT), Natural Language Processing (NLP), and statistical modeling. His work includes regression, classification, clustering, sentiment analysis, topic modeling, and time-series analysis. Pirzada has successfully generated and tested working hypotheses, prepared and analyzed historical data to identify patterns, and implemented Machine Learning algorithms.