Akshay Mankar
Scientist at SABIC
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAkshay Mankar is a data scientist and machine learning engineer with eight years of experience, currently leading a data science team at SABIC focused on material data analysis. He combines a strong academic background in computer vision (MTech) with hands-on roles across computer vision, embedded systems, and predictive modeling at companies like Quest Global, KPIT, and Sigma Embedded. Known for turning noisy, domain-specific datasets into production-ready models, he bridges technical depth and clear communication to non-technical stakeholders. Based in Bengaluru, he brings cross-industry adaptability—from aerospace-adjacent certifications to industrial materials—alongside a sustained passion for AI that drives continual adoption of emerging tools.
8 years of coding experience
8 years of employment as a software developer
Certification Aircraft maintenance Engineering , Certification Aircraft maintenance Engineering at Academy of Aerospace and Aviation Secondary school 10th standard , Secondary school 10th standard at Bhonsla Military School Bachelor of Science Computer Science , Bachelor of Science Computer Science at Softvision College & Research InstituteHigher Secondary Education Physics Chemistry and Mathematics , Higher Secondary Education Physics Chemistry and Mathematics at Padmashree Vithalrao Vikhe Patil Sainik SchoolMaster of Science Electronics , Master of Science Electronics at Mangalore UniversityMaster of Technology - MTech Communication Engineering (Computer vision), Master of Technology - MTech Communication Engineering (Computer vision) at Vellore Institute of Technology
English, Hindi, Marathi
Stackoverflow
63reputation
5kreached
3answers
5questions
Github Skills (28)
carla10
simulator10
openscenario10
traffic10
deep-reinforcement-learning9
unreal-engine-49
simulation9
ros9
computer-vision9
autonomous-driving8
self-driving-car8
artificial-intelligence8
imitation-learning8
airsim8
ai7
Programming languages (4)
Github contributions (5)
akki6843/scenario_runner
Feb 2019 - Apr 2019
Traffic scenario definition and execution engine
Contributions:69 pushes, 19 branches in 2 months
perfstress-testingtraffic-scenarioscenariohaiku
akki6843/data_dive
Oct 2019 - Jan 2021
This repo is for refreshing Machine learning based algos and methods.
Contributions:5 PRs, 5 pushes, 2 branches in 1 year 3 months
refreshing-machine-learningpythonalgosdata-sciencemachine-learning
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