Data Science

JAYMIN SHETHWALA

312-***-****

***********@*****.*** jaymin-shethwala-207464103

Jaymin1612

SUMMARY

Passionate and enthusiastic about data to extract information from it and develop models using different machine learning techniques.

EDUCATION

MACHINE LEARNING NANODEGREE - UDACITY

PROJECTS: Titanic survivors, Boston housing price, Finding Donors for CharityML May 2017 - Present

DEPAUL UNIVERSITY

Masters of Science in Computer Science

Specialization: Data Science

Chicago, IL

January 2016 – March 2018

GUJARAT TECHNOLOGICAL UNIVERSITY

Bachelor of Engineering in Computer Science

Gujarat, India

July 2011 – June 2015

SKILLS

Programming Languages Python, R, Java, Scala, SAS, Android Data science skill sets

Hadoop, Apache Spark, MapReduce, Tableau, Pandas, NumPy, Nearest neighbors, Support vector machines, Naïve bayes, Neural Networks, Time series analysis, Random forest, Decision tree, Scikit learn, MatplotLib Database MySQL, MongoDB

Web Development HTML, CSS, JavaScript, JSP, Servlet PROFESSIONAL EXPERIENCE

GRAPE INFOTECH

Web Developer

Ahmedabad, GJ

June 2015 – October 2015

• Back end development of websites using PHP and JavaScript.

• 6 people were working in a team, where individual sections were to be integrated at the end of each project. PROJECTS

Data and Prediction Analysis on Lending club April 2017 – May 2017

• For the Advanced Data analysis class, we took Kaggle Dataset and perform advanced analysis using R. I particularly performed Principal component analysis and K-means clustering algorithm. Techniques used: R, Principal component analysis, K-means clustering Used Car Analysis February 2017 – March 2017

• Perform multiple regression on the Used car dataset from the Kaggle.com using SAS. We were 3 members in a team and due to a large dataset with approx. 350K+, we each chose 1000 observation randomly. Techniques used: SAS, transformation, outlier removal, multiple regression Mental Health Visualization Analysis

February 2017 – March 2017

• Visual analysis of Mental health data set from Kaggle.com using Tableau and R. We were 3 members in a team and each member individually did analysis and we chose best graphs to present. Techniques used: Tableau and R

Item-Based Movie Filtering November 2016

• Movie dataset has number of movies with its user ratings using Python. I predict suggestions to a user depending on what movies he/she watched.

Techniques used: Python

RELATED COURSEWORK

• Foundations of Data Science • Data Analysis & Regression • Data Visualization

• Advanced Data Analysis • Object oriented Enterprise Computing • Database Technologies CERTIFICATIONS

• Certificate for Data Science and Machine Learning Hands On by Udemy

• Certification for Techniques and Concepts of Big Data by Lynda.com

• Certificate for Big Data 101 by Bigdata University

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