Hi, I'm Rushikesh Muley, a data science professional passionate about leveraging Python and advanced machine learning techniques to solve real-world problems. I've had the pleasure of working on diverse projects ranging from predictive analysis in steel manufacturing to AI-powered healthcare assistants and agricultural support systems. I enjoy developing practical AI solutions that help organizations make informed decisions and improve their processes. With a strong background in statistical analysis, machine learning, and generative AI, I strive to drive innovation through data-driven strategies. I'm always eager to take on new challenges and collaborate with others who are excited about the power of AI and data science to transform industries.

Rushikesh Muley

Hi, I'm Rushikesh Muley, a data science professional passionate about leveraging Python and advanced machine learning techniques to solve real-world problems. I've had the pleasure of working on diverse projects ranging from predictive analysis in steel manufacturing to AI-powered healthcare assistants and agricultural support systems. I enjoy developing practical AI solutions that help organizations make informed decisions and improve their processes. With a strong background in statistical analysis, machine learning, and generative AI, I strive to drive innovation through data-driven strategies. I'm always eager to take on new challenges and collaborate with others who are excited about the power of AI and data science to transform industries.

Available to hire

Hi, I’m Rushikesh Muley, a data science professional passionate about leveraging Python and advanced machine learning techniques to solve real-world problems. I’ve had the pleasure of working on diverse projects ranging from predictive analysis in steel manufacturing to AI-powered healthcare assistants and agricultural support systems. I enjoy developing practical AI solutions that help organizations make informed decisions and improve their processes.

With a strong background in statistical analysis, machine learning, and generative AI, I strive to drive innovation through data-driven strategies. I’m always eager to take on new challenges and collaborate with others who are excited about the power of AI and data science to transform industries.

See more

Experience Level

Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more

Language

Afar
Advanced
Hindi
Advanced
English
Advanced

Work Experience

Data Science Associate at Defence Research and Development Organization
March 31, 2024 - July 22, 2025
Led predictive analysis projects on steel fatigue strength achieving 94.44% accuracy using PCA and Ridge Regression. Conducted thorough statistical analyses employing Cook’s Distance, Durbin-Watson, and VIF techniques. Developed property prediction models for hot rolled steel using Boruta Shap for feature selection and machine learning algorithms including Random Forest and XGBOOST for mechanical property predictions. Published research in a machine learning journal and contributed to ongoing DRDO research initiatives.
Data Science Associate at Defence Research and Development Organization
March 31, 2024 - July 22, 2025
Conducted predictive analysis of steel fatigue strength achieving 94.44% accuracy using PCA and Ridge Regression, with statistical validation through Cook’s Distance, Durbin-Watson, and VIF. Developed a property prediction model for hot-rolled steel using Boruta Shap for feature selection; applied Random Forest for tensile and yield strength prediction, and XGBOOST for elongation. This research was accepted by the Machine Learning Research Journal.
Data Science Associate at Defence Research and Development Organization
March 31, 2024 - July 22, 2025
Lead predictive analysis efforts on steel fatigue strength, achieving 94.44% accuracy using PCA and Ridge Regression. Conducted extensive statistical analysis including Cook’s Distance, Durbin-Watson, and VIF as part of ongoing DRDO research. Developed a property prediction model for hot rolled steel employing Boruta Shap for feature selection, Random Forest and XGBOOST algorithms for predicting mechanical properties. This work was published in the Machine Learning Research Journal.

Education

Master of Technology at College of Engineering Pune
January 1, 2021 - January 31, 2023
Bachelor of Engineering at MGM’s Jawaharlal Nehru Engineering College
June 1, 2016 - June 30, 2019
Master of Technology at College of Engineering Pune
January 1, 2021 - January 31, 2023
Bachelor of Engineering at MGM’s Jawaharlal Nehru Engineering College
June 1, 2016 - June 30, 2019
Master of Technology at College of Engineering Pune
January 1, 2021 - January 31, 2023
Bachelor of Engineering at MGM’s Jawaharlal Nehru Engineering College
June 1, 2016 - June 30, 2019

Qualifications

Advance Artificial Intelligence and Machine Learning
January 11, 2030 - July 22, 2025
Data Analytics Foundation Course
January 11, 2030 - July 22, 2025
Machine Learning
January 11, 2030 - July 22, 2025
Deep Learning Fundamentals
January 11, 2030 - July 22, 2025
Advance Artificial Intelligence and Machine Learning
January 11, 2030 - July 22, 2025
Data Analytics Foundation Course
January 11, 2030 - July 22, 2025
Machine Learning
January 11, 2030 - July 22, 2025
Deep Learning Fundamentals
January 11, 2030 - July 22, 2025
Advance Artificial Intelligence and Machine Learning
January 1, 2021 - December 31, 2021
Data Analytics Foundation Course
January 1, 2021 - December 31, 2021
Machine Learning
January 1, 2021 - December 31, 2021
Deep Learning Fundamentals
January 1, 2021 - December 31, 2021

Industry Experience

Government, Manufacturing, Agriculture & Mining, Healthcare, Software & Internet