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Computer Science Engineer

Lawrence, Kansas, United States
October 31, 2016

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Pranav Shekhar Bahl

*** ******** ****** *** **, Lawrence, KS 66044 785-***-****


3 years’ professional software development & data science work experience

Strengths : programming(Python/Java), data analysis, machine learning and operating systems


The University of Kansas, Lawrence, Kansas Dec’2016

Master of Science in Computer Science GPA: 3.76/4.0

Chitkara University, Himachal Pradesh, India May’2012

Bachelor of Engineering in Computer Science GPA: 8.17/10


Data Science Intern, C2FO, USA Jun’2016-Aug’2016

Built time series model for risk modeling in R and integrated it with python yielding ~30% better forecasts and improved efficiency by parallelization

Collaborated with development team to build intelligent queuing system for SRMs', utilizing their efforts to contact customers sorted based on their value to business saved ~80% time by automating

Developed a POC(Proof of Concept) for Portfolio Optimization using convex optimization approach

Graduate Research Assistant, Machine Learning Lab, University of Kansas, USA Aug’2015-Present

Developing project to automate Machine Learning Pipeline to save pipeline development and testing efforts

Responsible for performance testing (using JMeter) and bug fixes

Data Science Competitions

Predicting Red Hat Business Value – Rank 100 out of 2302 teams

Mind Your Strategy(Analytics Vidhya) – Rank 14 out of 1039 participants

Systems Engineer, Infosys Limited, India Sep’2012-Nov’2014

Full stack developer

Reengineered and developed efficient & scalable web services for applications used by Apple Inc., also implemented resource access control and handled request authentication as part of web security

Participated in the design, requirement gathering, testing and deployment of client/server, multi-tier applications, and other related components

Led, mentored and trained junior programmers in programming methodologies and best practices


WOLF Jan’16 - Present

Automates Machine learning pipeline tasks and omits best predicting combination saving ~50% of development time at the same time giving access to valuable but unknown resources

Information Retrieval Jan’16 – May’16

Built a search engine for United States national parks Wikipedia

Dropout Prediction on a MOOC Learning Platform Aug’15 – Dec’15

Designed customized machine learning pipeline to predict whether a user will drop a course or not

Part of KDD cup 2014

Passing Secret Information Using Covert Channel Jan’15 – May’15

Implemented a covert channel as part of research using TCP/IP layer for Diffie hellman key exchange


Programming Skills: Python, R, Java, Spark, SQL, MongoDB, Postgress, CSS, HTML, AJAX, jQuery, XML

Frameworks/Tools: Pandas, Springs, SOLR, Hibernate, Struts, Weka, Jmeter, SVN, Git, JSON, REST

Certifications : Microsoft certified HTML5 & CSS3 developer


Received ‘WOW ‘award for ensuring the code quality and coming up with appropriate solutions

Designated as best student for a trimester in University

Public Relations Officer at KU-Association of Indian Students

Member of International Leadership Team at KU

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