Qaim Hassan Abbas has extensive work experience in the field of data science and artificial intelligence. Qaim Hassan has held various roles in different companies throughout their career.
In their most recent role as Lead Data Scientist at Circana, Qaim worked with major US CPG clients to analyze campaign and advertisement data, POS data, and marketing agencies' data. Qaim Hassan developed predictive and prescriptive measures to optimize spending on each channel to maximize ROI. Some of their achievements include delivering Marketing Mix Analysis to clients and developing automated systems for modeling results.
Prior to their role at Circana, Qaim worked as a Technology Advisor and Chief Data Scientist at Ricult. Qaim Hassan provided technical consultancy to the leadership and led a team of data scientists. Qaim Hassan also worked as the Founder of Medice.ai, where they developed artificially intelligent solutions for medical practitioners to improve diagnosis and analysis.
Qaim has also worked at HyperNym as the Head of Data Science and Senior Data Scientist. Qaim Hassan provided executive-level leadership, researched trailblazing technology, and implemented novel solutions for multinational clients.
Before that, Qaim worked at AI XPRT (Audit XPRT) LIMITED as a Data Science Team Lead and AI Researcher. Qaim Hassan tested new technologies and researched advanced mythologies in AI to improve project tasks.
Qaim's earlier experience includes working at IBM as a Team Lead Data Scientist, Data Scientist in the Watson Professional team, Data Scientist & SNA Specialist, and IBM Cloud Certified Professional. Qaim Hassan developed predictive analysis models, designed classifiers, and worked on semantic dependency graphs and Named Entity Extraction.
Additionally, Qaim worked as the CMO and Marketing Analyst at Bubblehype, and as a Team Lead Python Development at Minerva Pakistan.
Overall, Qaim Hassan Abbas has a diverse background in data science, AI, and technology, with a focus on developing innovative solutions and providing leadership in the industry.
Qaim Hassan Abbas has a Certification in Statistical Thinking for Data Science & Analytics from Columbia University. Qaim Hassan also has an Advanced Specialization in Advanced Machine Learning from State University — Higher School of Economics. Qaim has obtained certifications in various fields including Quantum Computing from Saint Petersburg State University, Health Monitoring Systems from Saint Petersburg State University, and Introduction to Quantum Computing from Saint Petersburg State University. Qaim Hassan holds an Engineer's Degree in Computer Engineering from National University of Sciences and Technology (NUST). Qaim completed their High School education in Pre-Engineering from Forman Christian College (A Chartered University) and their Sciences, Biology studies from Aitchison College.
Additionally, Qaim has obtained several certifications from institutions such as IBM and SoftLayer, an IBM Company, in areas including SaaS Essentials for Technical Sales, Build Chatbots with Watson Conversation, and Big Data Foundations - Level 2.
January, 2022 - present