I’m Mobeen Fatima, a detail-oriented Machine Learning and Data Science student who enjoys turning complex datasets into clear, actionable insights. I work across predictive modeling, data processing, and end-to-end pipeline development, with a strong focus on building production-ready solutions that can handle large datasets (100k+ records). I’m also passionate about applying NLP and computer vision techniques—such as OCR and real-time object detection—so projects become both accurate and useful. In addition to modeling, I like bringing solutions to life through web applications and APIs. I’ve built several Flask/FastAPI and React-based apps (for example, resume building, detection systems, and analyzer tools) and I enjoy integrating backend data/ML logic with user-friendly interfaces. Whether it’s ML research, RAG-style application work, or deploying practical features, I’m motivated by creating reliable systems that solve real technical problems.

Mobeen Fatima

I’m Mobeen Fatima, a detail-oriented Machine Learning and Data Science student who enjoys turning complex datasets into clear, actionable insights. I work across predictive modeling, data processing, and end-to-end pipeline development, with a strong focus on building production-ready solutions that can handle large datasets (100k+ records). I’m also passionate about applying NLP and computer vision techniques—such as OCR and real-time object detection—so projects become both accurate and useful. In addition to modeling, I like bringing solutions to life through web applications and APIs. I’ve built several Flask/FastAPI and React-based apps (for example, resume building, detection systems, and analyzer tools) and I enjoy integrating backend data/ML logic with user-friendly interfaces. Whether it’s ML research, RAG-style application work, or deploying practical features, I’m motivated by creating reliable systems that solve real technical problems.

Available to hire

I’m Mobeen Fatima, a detail-oriented Machine Learning and Data Science student who enjoys turning complex datasets into clear, actionable insights. I work across predictive modeling, data processing, and end-to-end pipeline development, with a strong focus on building production-ready solutions that can handle large datasets (100k+ records). I’m also passionate about applying NLP and computer vision techniques—such as OCR and real-time object detection—so projects become both accurate and useful.

In addition to modeling, I like bringing solutions to life through web applications and APIs. I’ve built several Flask/FastAPI and React-based apps (for example, resume building, detection systems, and analyzer tools) and I enjoy integrating backend data/ML logic with user-friendly interfaces. Whether it’s ML research, RAG-style application work, or deploying practical features, I’m motivated by creating reliable systems that solve real technical problems.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Urdu
Fluent
Panjabi, Punjabi
Fluent

Work Experience

Machine Learning Intern at Decode Labs
July 1, 2026 - Present
Hands-on ML tasks including model development, experimentation, and code reviews. Engaged in learning sprints to rapidly prototype solutions and improve project outcomes.
Data Analytics Intern at Arch Technologies
June 1, 2026 - July 30, 2026
Performed data analytics and analysis work, including processing datasets, validating and cleaning data, and supporting exploratory analysis. Helped turn data into insights using common analytics tools and structured reporting.
Machine Learning Intern at DevSphere
April 15, 2026 - June 15, 2026
Built and improved machine learning components over the internship period. Supported data preparation and modeling workflows, helping transform raw data into usable training inputs and iterating toward better predictive performance.
ML Intern at DevSphere Tech
April 1, 2026 - Present
Supported ML projects, built data pipelines, and assisted in debugging and testing models.
Machine Learning Intern at SoftGrowTech
March 20, 2026 - April 20, 2026
Worked on machine learning tasks and contributed to model development and experimentation. Focused on preparing data for learning, iterating on approaches to improve outcomes, and supporting project delivery through practical ML implementation.
Machine Learning Intern at Software Growth Tech
March 1, 2026 - Present
Worked on ML model development, data preprocessing, feature engineering, and model evaluation. Collaborated with the team to deploy prototypes and document results.
Machine Learning Intern at Soft Grow Tech
March 1, 2026 - June 1, 2026
Contributed to ML projects by preprocessing data, implementing ML algorithms, evaluating models, and building lightweight ML pipelines. Collaborated with cross-functional teams to translate business problems into technical solutions and documented results for non-technical stakeholders.

Education

Bachelor of Science (Computer Science + Specialized AI) at PMAS-Arid Agriculture University
January 1, 2024 - January 1, 2028
BS (Computer Science) specialized AI at PMAS Arid Agriculture University, Rwp
January 1, 2024 - September 18, 2026

Qualifications

Bachelor of Science in Computer Science with Specialization in AI
January 1, 2024 - January 1, 2028
Data Analysis With Python (IBM)
January 11, 2030 - September 18, 2026
Applied Data Science with Python Specialization (IBM)
January 11, 2030 - September 18, 2026
Data Analyst: Career Preparation (IBM)
January 11, 2030 - September 18, 2026
Mastering RAG: Build Smart, Data-Driven Application (IBM)
January 11, 2030 - September 18, 2026
Generative AI (Microsoft)
January 11, 2030 - September 18, 2026
Data Visualization + Pandas (Kaggle)
January 11, 2030 - September 18, 2026

Industry Experience

Professional Services, Education, Healthcare, Software & Internet

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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