Sabahat Ijaz
@sabahatijaz
Experienced Data Scientist with AI expertise
What I'm looking for
As a seasoned Data Scientist with over 6 years of hands-on experience, I bring expertise in building robust predictive models and extracting actionable insights from complex datasets. My ability to deliver impactful solutions aligns perfectly with company goals, driving innovation and maximizing business value.
I have a strong background in Machine Learning, Artificial Intelligence, Computer Vision, and Data Analysis, with proficiency in Python, Neo4J, and Time Series Analysis. My experience spans various roles, including Senior Software Engineer, Data Scientist, and Machine Learning Engineer, where I have worked on numerous projects, including Y-Hat, an automated time series forecasting tool, and GenAI Superficial, a GenAI platform.
I am passionate about staying up-to-date with the latest technologies and techniques, and I am excited to contribute to cutting-edge projects. I am seeking fully remote opportunities globally, where I can leverage my skills and experience to drive innovation and growth.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Expert System Solution
Mar 2023 - Present (2 years 2 months)
Currently overseeing Python backend development projects, specializing in Generative AI solutions. Responsible for managing project timelines, resources, and budgets while delivering high-quality solutions to meet client requirements.
Machine Learning Engineer
Odyssey Solutions
Nov 2021 - Apr 2023 (1 year 5 months)
Developed proof-of-concepts for crypto and power price forecasting, automating machine learning processes for classification, regression, and time series analysis.
Data Scientist / Team Lead
Odyssey Solutions
Jul 2022 - Apr 2023 (9 months)
Led the development of Y-Hat, an automated time series forecasting tool. Managed project execution from data preprocessing to deployment, ensuring alignment with client requirements and fostering innovation.
Backend Engineer
Ecologix US
Sep 2019 - Nov 2021 (2 years 2 months)
Contributed to product development and outsourced projects, specializing in distributed computing and time series prediction while leading the implementation of machine learning solutions.
Education
Degrees, certifications, and relevant coursework
National University of Computer and Emerging Sciences
Master of Science, Data Science
2018 - 2020
Grade: 3.00
Completed a Master's degree in Data Science, focusing on various aspects of data analysis, machine learning, and statistical methods. Major courses included Machine Learning, Deep Learning, and Tools and Techniques for Data Science.
National University of Computer and Emerging Sciences
Bachelor of Science, Computer Science
2015 - 2018
Grade: 3.41
Earned a Bachelor's degree in Computer Science, with a strong emphasis on data structures, algorithms, and artificial intelligence. Completed a thesis on Pathological Myopia Detection Using Fundus Images.
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Location
Authorized to work in
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Skills
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