Amit Badave
@amitb05
Results-driven Data Scientist specializing in AI and predictive maintenance.
What I'm looking for
I am a results-driven Data Scientist with a strong background in AI model development, data-driven decision-making, and predictive maintenance systems. With 4 years of experience, I have honed my skills in designing scalable AI/ML solutions and implementing advanced architectures to tackle complex industrial challenges. My passion lies in leveraging AI to drive innovation and operational efficiency.
Throughout my career, I have led significant projects, including the development of deep learning-powered automotive components that streamlined design processes and reduced manual effort by 75%. I have also designed predictive maintenance frameworks that improved model reliability by 45%, showcasing my ability to bridge the gap between data science, engineering, and business objectives. I am eager to contribute my technical expertise and domain-specific insights to a forward-thinking organization at the forefront of AI-driven transformation.
Experience
Work history, roles, and key accomplishments
Data Scientist (Research)
KPIT Technologies Ltd.
Jun 2023 - Present (3 years)
Led the development of an advanced Knowledge Distillation framework for domain-specific LLMs, enabling automotive validation engineers to design test benches and generate test cases 80% faster. Created a generative deep learning model that reconstructs the structural back side of vehicle attachment parts based on front-end design inputs, achieving 75%+ precision in part generation.
Data Scientist
Freelancer.in
Nov 2022 - Present (3 years 7 months)
Conducted in-depth data analysis to uncover cost-saving opportunities, leading to a 10% reduction in operational expenses. Developed and deployed advanced statistical models to validate key business hypotheses and pinpoint high-impact performance indicators, driving a 15% improvement in marketing campaign effectiveness.
Software Engineer (Data Analyst)
Raja Software Labs Pvt. Ltd.
Jul 2021 - Present (4 years 11 months)
Developed an advanced computer vision system leveraging YOLOv5 and EfficientNet-B7 as backbone architectures, achieving a 75% improvement in model performance. Implemented model distillation pipeline to compress and optimize deep learning models, reducing object detection latency by 50%, enabling real-time alerts, and enhancing security response efficiency.
Education
Degrees, certifications, and relevant coursework
Woolf University
MS in Computer Science, Computer Science
Grade: 3.9 GPA
Specialized in AI and ML, achieving a 3.9 GPA. Focused on advanced topics in artificial intelligence and machine learning.
Pune University
BE/B.Tech/BS in Computer Engineering, Computer Engineering
Grade: 8.92 CGPA
Completed a Bachelor's degree in Computer Engineering with an 8.92 CGPA. Gained foundational knowledge in computer science and engineering principles.
Availability
Location
Authorized to work in
Job categories
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