
sayed shumayal ali
@sayedshumayalali
I build statistical and machine learning models for real-world prediction problems.
What I'm looking for
At Aligarh Muslim University, I engineered a hybrid QML-CNN framework for plasma monitoring that achieved 97.81% accuracy across 18,000+ plasma images and reduced training time from over six hours to two minutes.
I'm pursuing an MSc in Statistics and apply R, Python, SQL, statistical modeling, and machine learning to projects including student wellbeing analysis and Parkinson's disease detection from acoustic signals.
Experience
Work history, roles, and key accomplishments
Research Intern
Department of Statistics and Operations Research, Aligarh Mu
Jan 2026 - May 2026 (4 months)
Engineered a hybrid quantum-classical framework for plasma monitoring, achieving 97.81% accuracy and reducing training time by 186x. Built a real-time vision pipeline to predict plasma arc current, bypassing physical sensor failures.
Education
Degrees, certifications, and relevant coursework
Aligarh Muslim University
Master of Science, Statistics
2025 -
Pursuing a Master of Science in Statistics with coursework in Data Analysis with Python, Bayesian Inference and Survival Analysis, Stochastic Processes, and Linear Algebra and Matrix Computation.
Aligarh Muslim University
Bachelor of Science, Statistics
2021 - 2024
Completed a Bachelor of Science in Statistics with coursework in Probability Theory, Inferential Statistics, Regression Analysis, and Sampling Techniques.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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