Engineering Data

Name: Shrey Kumar

Phone: +919*********

Email ID: ********@*****.***

SUMMARY

Looking to gain practical experience within the data analytics sector, and I feel that a position within your company would help me to demonstrate the abilities I have and help me in the coming years.

GitHub Link: https://github.com/shreyk96

Kaggle: https://www.kaggle.com/shreyk96

LinkedIn: https://www.linkedin.com/in/shrey-kumar-600678130/ KEY SKILLS

• Python (NumPy and Pandas)

• Data Visualisation (Matplotlib, Seaborn and Tableau)

• Machine Learning

• MySQL

• Descriptive Statistics and Inferential Statistics

• Auto CAD

• Catia

• Solidworks

• Matlab

• CES Edu Pack

• Engineering Drawings

• MS- Office Applications

ACADEMIC PROJECTS

• Predicting the Costs of Used Cars (Machine Hack) Used matplotlib and seaborn libraries in python which helped me visualise and explore the data. It was an extremely dirty data, 5 out of 13 attributes had missing values. Dealt those with the help of measure of central tendency. Applied feature engineering for my machine learning models to learn better about the data. Used Machine Learning techniques to predict the price of the used cars. Key skills: NumPy, Pandas, Exploratory Data Analysis, Various Machine Learning Regression Algorithms

• Online News Popularity (Mashable) (UCI Repository Dataset) This very dataset problem is a regression one and a classification one. Although, after rigorous EDA and Machine Learning Models, we could not improve the regression model’s accuracy more than 22% with a mean squared error of 900 approximately. I considered it as a classification problem. In this dataset, the main problem I faced was an extremely high number of outliers. I dealt the outliers with MICE algorithm. I used matplotlib and seaborn libraries to visualise the data and explore the data. Even after applying PCA on this dataset with 62 attributes, the evaluator metrics did not show high improvement. I used various machine learning algorithms to predict the shares. Achieved an accuracy of 66.27% and F1 score of 65.0 67.0 and a Cohen Kappa score of 34.44%.

Key skills: NumPy, Pandas, Exploratory Data Analysis, Various Machine Learning Algorithms (Regression and Classification)

• Loan Prediction (Analytical Vidhya)

It is a classification problem, where we must predict if the client is going to be eligible for the loan or not, based on the provided data. Used matplotlib and seaborn libraries in python which helped me visualise and explore the data. Performed feature engineering on the attributes so that the model learns about the data more efficiently. Achieved an accuracy of 77.78% after hyper parameter tuning (Grid Search). Key skills: NumPy, Pandas, Exploratory Data Analysis, Various Machine Learning Classification Algorithms

Name: Shrey Kumar

Phone: +919*********

Email ID: ********@*****.***

HACKATHONS/OTHER CERTIFICATIONS

• Automotive Dataset Hackathon

• Airbnb NYC – Kaggle Hackathon

PROFESSIONAL SUMMARY

Engineering Intern, Honda Cars India Limited August 2016 – September 2016 Pursued an internship at Honda in the assembly department. Performed a project on Potential Failure Mode and Effect Analysis of the interior and wiring line. It is used by numerous amounts of organisations which helps them to foresee and evaluate the potential failures in a process. Intern, Jagdish Ice Factory Private Limited Indo International Agro Industries July 2018 – June 2019 Helped in making project reports and gave consultancy for the new upcoming distillery bottling plant for Indo International Agro Industries. Overseeing mechanical machineries of the Ice Factory and Cold Storage. Audited cash flows to check discrepancies.

EDUCATION

Course Institution Year

PGP – Data Science and Engineering Great Lakes Institute of Management, Gurgaon

2019

BSc. In Automotive Engineering Coventry University, United Kingdom 2018 12th Std CBSE (Science Stream) Modern School Vasant Vihar, New Delhi 2014 10th Std CBSE Modern School Vasant Vihar, New Delhi 2012 OTHER ACHIEVEMENTS

AutoCAD & Catia Certifications

School Robotics Club (2008-2012)

Dissertation/Thesis – Study on lightweight metal/sandwich composites for automotive applications

Dissertation/Thesis – Study on detection of Cracks and Damages in Composite Structures

Wind tunnel Test (Mercedes AMG Petronas)

Vehicle safety – Safety crash test analysis on Tesla Model X

Automotive Telemetry Systems CW and Adaptive Cruise Control CW

Volunteer work at Tamanna Special School – Helped Students to study

Basketball Vice Captain – Modern School (2011-2014); Coventry University (2014-2015)

Athletics Team – Modern School (2007-2014); Represented Delhi (2013)

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