Ansari Noman
@ansarinoman
I am an AI and data scientist focused on NLP, automation, and data-driven decision making.
What I'm looking for
I am an AI developer and data scientist with hands-on experience building NLP systems, automation tools, and data-driven dashboards. My training in artificial intelligence and data science supports strong fundamentals in machine learning, statistics, and distributed computing.
I have delivered practical solutions through internships and projects — creating interactive dashboards with Python and Power BI, designing an AI web scraper using Cohere LLM, and implementing an automated attendance-by-photo system. I collaborate across teams to integrate analytics into business workflows and streamline operations.
I am motivated by applied AI that improves decision-making and efficiency, and I continually expand my skill set in ML, NLP, cloud tools, and full-stack development to deliver production-ready solutions.
Experience
Work history, roles, and key accomplishments
Data Analyst & Developer Intern
366 DIGITX
Jan 2025 - Jul 2025 (6 months)
Analyzed real-time business data to generate actionable insights and built responsive user interfaces and interactive dashboards using Python and Power BI to improve data accessibility and operational efficiency.
Data Science Intern
CodSoft
Sep 2023 - Oct 2023 (1 month)
Completed a data science internship focused on data exploration, preprocessing, model building, and evaluation across three core projects, delivering reproducible analyses and model prototypes.
Education
Degrees, certifications, and relevant coursework
University of Mumbai
Bachelor of Engineering, Artificial Intelligence and Data Science
2021 - 2025
Grade: 3.5/4.0
Activities and societies: Coursework: Operating Systems, Machine Learning, Computer Architecture and Digital Logic, Microprocessors, Blockchain, Data Warehouse and Mining, Web Computing, Statistics, Distributed Computing.
Bachelor of Engineering in Artificial Intelligence and Data Science from University of Mumbai (Sept 2021–May 2025) with a 3.5/4.0 GPA; completed coursework in Machine Learning, Distributed Computing, and related systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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