Subrat Kumar Dang

Analytical data science professional adept at applying advanced statistical techniques and machine learning algorithms to solve critical business challenges and uncover valuable insights from vast datasets, driving strategic decisions and fostering company growth

As an aspiring candidate for the Data Scientist position, my professional journey and academic background have been deeply rooted in the practical application of machine learning and data science to solve complex problems in the manufacturing sector. My foundation was laid with a Bachelor's degree in Production Engineering from Veer Surendra Sai University of Technology, where my fascination with manufacturing processes and technology first began. This was further enriched during a pivotal internship at Tata Steel R&D Lab, where I applied machine learning techniques, such as artificial neural networks, to optimize spot welding processes, showcasing my early commitment to integrating data science in traditional manufacturing.

Advancing into my Master of Technology in Mechanical Engineering, I honed my skills in machine learning by developing predictive models for welding strength using a Random Forest algorithm. This project not only demonstrated my ability to apply machine learning algorithms to real-world manufacturing challenges but also highlighted my proficiency in using data science tools and programming languages, such as Python, for complex data analysis and model development.

Professionally, my role at the BIBA-Bremen Institute of Production and Logistics allowed me to engage in several projects, such as UPMASS and TOKIOS, where I utilized data analytics and artificial intelligence to enhance predictive maintenance strategies and improve testing efficiency in aircraft system integration. These experiences have equipped me with a unique blend of skills in data analytics, machine learning algorithm application, and the development of AI-driven solutions to optimize manufacturing and testing processes.

My most recent work on the WASABI project, focusing on developing interoperable digital assistant skills, exemplifies my innovative approach to using machine learning and AI to solve novel problems. This project underscored my ability to create versatile, technology-driven solutions that enhance decision-making and operational efficiency.

In addition to my technical expertise, I have maintained a strong academic record and have been actively involved in leadership and social service initiatives, demonstrating my well-rounded character and dedication to making a positive impact both within and outside of professional settings.

As I apply for the Data Scientist position, I am eager to bring my extensive experience in machine learning, data analytics, and AI, coupled with a proven track record of applying these skills to improve manufacturing processes and develop innovative technological solutions. I am confident that my background and skills will make a valuable contribution to your team, driving forward your data-driven projects and initiatives.

Work Experience:

BIBA, Bremen, Germany: Jan 2022 to present 

• Research Scientist: Data science, Machine Learning, Manufacturing, Maintenance, 

Education:

Master of Technology (M.Tech)

• Institute: Sant Longowal Institute of Engineering and Technology (SLIET) 
• Fields: Mechanical Engineering 
• Dissertation: A generic data mining framework to predict tensile-shear strength of nugget in resistance spot welding process (RSW) 
• Advisor: Dr. Kulwant Singh 
• CGPA-8.53

Bachelor of technology (B.Tech)

• Institute: Veer Surendra Sai University of Technology (VSSUT) 
• Production Engineering 
• Dissertation:Application of Data mining in manufacturing 
• Advisor: Dr. Debudatta Mishra 
• CGPA- 7.8 

RESEARCH FIELD

• Data-Driven Engineering Solutions
• Advanced AI Application 
• Cross-Disciplinary Innovation 
• Intelligent Maintenance and Manufacturing