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Saurabh Tripathi

@saurabhtripathi

Technical Documentation Engineer at Kunal Auto Industries

New Delhi, India

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Kunal Auto IndustriesJovian

Saurabh is a data-driven professional with a background in Mechanical Engineering and specialized training in Data Science. He possesses skills in Python, SQL, and Machine Learning, demonstrated through projects like EDA and predicting sales. Professionally, he has experience in technical documentation, preparing QMS manuals for IATF certification, and performing detailed cost analysis.

Experience

Technical Documentation Engineer

Kunal Auto Industries

•Feb 2001 - May 2023•Gurugram

Responsible for preparing Quality Management System documents required for IATF certification. Prepared QMS manual, 46 Procedures, and more than 200 formats required by various departments. Increased traceability of raw materials & finished goods, better records, and improved performance.

GET Costing

Neolite ZKW Lightings Pvt. Ltd.

•Mar 2020 - Nov 2021•Bahadurgarh

Collecting data on product manufacturing, machine allocation in Molding & Assembly departments. Doing WWW for 18 molding machines & 20 assembly lines, daily auditing 1 assembly line & Metallizing. Continuous checks helped in the watch on material usage leading to better costing of products.

Education

Jovian

Data Science Bootcamp

Data Science

Oct 2022 - Present

Courses: Python Programming, Statistics, Data Analysis & Visualization, Machine Learning, SQL & Analytics. Highlights: 500+ hours of coursework, 10 coding assignments, 3 projects (Web scraping, EDA, ML).

St. Andrews Institute of Tech. & Mgmt.

B.Tech

Mechanical Engineering

Jan 2015 - Jan 2019

Courses: Engineering Mechanics, Physics, Mathematics, Material Science, Communication skills in English, Applied Numerical technique & computing, Industrial Engineering, Quality Engineering, etc.

Skills

SQL
Python
Microsoft Excel
Tableau
Data Analysis & Visualization
Machine Learning
NumPy
Pandas
Matplotlib
Seaborn
Plotly
Web Scraping
AB Testing
HTML
CS
Requests
BeautifulSoup4
scikit-learn
XGBoost
LightGBM