Divyesh K
@divyeshk
I'm building machine learning pipelines and signal-processing models for data-driven prediction systems.
What I'm looking for
I'm developing an end-to-end machine learning pipeline at FlyRank AI for CTR opportunity scoring using large-scale search intelligence data.
I use Python, Pandas, DuckDB, and scikit-learn to perform exploratory data analysis, engineer features, build predictive models, and create reproducible workflows that generate optimization recommendations.
I'm also building a real-time EEG-based driver drowsiness detection system, preprocessing signals through band-pass filtering, noise removal, and segmentation. I extract frequency-domain features such as the Theta/Beta power ratio and am exploring Random Forest and 1D CNN models for classification.
Alongside my coursework in data structures, algorithms, signal processing, control systems, and numerical methods, I've solved 250+ DSA problems and reached a maximum LeetCode rating of 1560.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
FlyRank AI
Jul 2026 - Present (1 month)
Developing an end-to-end machine learning pipeline for CTR opportunity scoring using large-scale search intelligence data. Performing exploratory data analysis, feature engineering, and predictive modeling using Python, Pandas, DuckDB, and scikit-learn.
Education
Degrees, certifications, and relevant coursework
Dr B.R Ambedkar National Institute of Technology, Jalandhar
Bachelor of Technology, Instrumentation and Control Engineering
2024 -
Grade: 8.46 CGPA
Pursuing a Bachelor of Technology in Instrumentation and Control Engineering with a current CGPA of 8.46.
Resonance Junior College, Hyderabad
Higher Secondary Certificate, General Studies
2022 - 2024
Grade: 96.2%
Completed Class XII under the TSBIE Board with a percentage of 96.2%.
Availability
Location
Authorized to work in
Job categories
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