Pranav Shekhar Bahl
*** ******** ****** *** **, Lawrence, KS 66044
acxbh1@r.postjobfree.com 785-***-****
https://www.linkedin.com/in/pranav-bahl-86355a66 https://github.com/pranavbahl2308
SUMMARY
3 years’ professional software development & data science work experience
Strengths : programming(Python/Java), data analysis, machine learning and operating systems
EDUCATION
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
WORK EXPERIENCE
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
PROJECTS
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
SKILLS
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
HONORS / ACTIVITIES
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