
RESUME
Professional
info
I am a Data Scientist, passionate about analyzing big datasets and building predictive models of them. I want to use my knowledge of Machine learning, Statistics, and Advanced Algorithms to make things autonomous.
Work
experience
Data Science Intern, Collins Aerospace, Iowa
September 2018 - February 2019
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Developed a web application to get information about company employees by giving voice commands.
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Expertise in writing REST APIs and added new innovative features to the pre-existing applications.
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Built Convolution neural networks to extract the meaningful information (texts & objects) out of image data.
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Used Tomcat server to run the applications and deployed the docker images to cloud services.
Machine Learning Professional, HikeUrBiz Infotech LLP
January 2016 - June 2017
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Analyzed large datasets and provided insights about the new products and its demands in the market
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Prepared clean dataset from raw data and performed cluster analysis to determine the target customers.
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Built predictive models to determine the sales of the different products sold by the company.
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Designed and maintained the marketing website and used Jenkins & AWS tools for application deployment
Software Developer Intern, AAI
June 2015 - July 2015
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Developed recommender system for persons traveling on the airplane.
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Gathered flight data of each passenger and scraped more data from social websites about those person.
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Visualized the data and looked for any relevant information and used it to make a better recommender system.
Languages
Python - Advanced
Java - Advanced
R - Proficient
Matlab - Advanced
JavaScript- Proficient
C++ - Proficient
HTML/CSS - Proficient
SAS - Naive
Tools
Amazon Web Services
Google Cloud Platform
Docker
Maven
Tableau
Jenkins
SoapUI
SSMS
Matlab
Eclipse
Subversion
Git
Awards & Certifiates
Awarded University Graduate Scholarship (UGS)
Java Certification (License: ENT/3102/52090/2016006799)
Skills & Interests
What I bring to the table
Data Analysis
Machine Learning
Natural Language Processing
Probability & Statistics
Data structures & Algorithms
Artificial Intelligence
Big Data Frameworks
Databases
Operating Systems
Technologies
Data Science libraries & Concepts
Hadoop, Spark, Hive, Map Reduce
MySQL, PostgreSQL, MongoDB
MacOS, Linux, Windows
AJAX, jQuery, Java 7 and 8, JSP 2.2, Servlet 3.0, PL/SQL, XML, CSS, JSON
Tensor-flow, Scikit-Learn, Numpy, seaborn, Theano, caffe, NLKT, Predictive modeling- Clustering, KNN, Regression, Decision Trees, Neural Networks etc.
Education
Masters in Computer Science
University of Cincinnati GPA: 3.9
Activities and Societies: BearChats, ICats Society, Robotics Society Basketball
Extra Courses: Hadoop Platform and Application Framework by University of California, Probability & Statistics in Data Science by UCSanDiego
Bachelors in Electronics Engineering
Thapar University GPA: 3.5
Activities and Societies: IETE, SPICMACAY, Youth United, Organised Blood donation camps, Saturnalia(techno-cultural fest)
Related Courses: Data Structures, Computer Architecture, Intro. to Programming Languages