Vinay Khandelwal
@vinaykhandelwal
Aspiring data science engineer with a focus on machine learning.
What I'm looking for
I am a dedicated and innovative Mechanical Engineering graduate from NIT Kurukshetra, with a strong foundation in data science and machine learning. My experience as an Engineer at Subros has honed my skills in process optimization and defect reduction, achieving significant cost savings and efficiency improvements. I thrive in collaborative environments and have a proven track record of leveraging data-driven insights to enhance production workflows.
During my internship at WeDigTech, I developed a deep learning-based chatbot that achieved a 90% accuracy rate in understanding user queries. My projects, including a smart attendance system and a lead scoring model, showcase my ability to apply machine learning techniques to solve real-world problems effectively. I am passionate about using technology to drive innovation and improve operational efficiency.
Experience
Work history, roles, and key accomplishments
Engineer
Subros
Aug 2024 - Present (10 months)
Reduced defect rate from 11.2% to 2.7% by implementing data-driven workflow optimizations and quality control measures. Collaborated with cross-functional teams to address production inefficiencies, achieving a 15% cost reduction and streamlining production by 20%.
Data Science Engineer
WeDigTech
Jan 2023 - Present (2 years 5 months)
Developed and deployed a deep learning-based chatbot using Python, TensorFlow, and Keras, resulting in a 90% accuracy rate in understanding user queries. Designed a natural language processing (NLP) model, enhancing response accuracy by 85% and reducing average response time by 30%.
Education
Degrees, certifications, and relevant coursework
NIT Kurukshetra
Bachelor of Technology, Mechanical Engineering
Grade: 8.3 CGPA
Completed a Bachelor of Technology in Mechanical Engineering. Achieved a CGPA of 8.3.
Subodh Public School, Jaipur
12th CBSE, CBSE
Grade: 80.6%
Completed 12th grade CBSE with a score of 80.6%.
Subodh Public School, Jaipur
10th CBSE, CBSE
Grade: 8.8 CGPA
Completed 10th grade CBSE with a CGPA of 8.8.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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