I am a Computer Science Graduate with Master of Science degree from University at Buffalo, State University of New York. Working as Software Engineer at Intel. EDUCATION M.S. Computer Sciences State University of New York, Buffalo, New York December 2016 B.Tech Computer Sciences HMRITM, I.P. University, New Delhi, India May 2014 TECHNICAL SKILLS • Languages: Proficient: Java Experienced : C++, Python, JavaFx, R • Database: MySQL, mongo DB, Oracle • UI Technology: HTML, JavaScript, JQuery, JSON, CSS, PHP, Twitter Bootstrap, WordPress • Software/Tools: SolrLucene, MS Office, MATLAB, Eclipse, Adobe Photoshop, NetBeans, IntelliJ COURSES: Machine Learning, Data Intensive Computing, Distributed Systems, Information Retrieval, Analysis of Algorithms, Computer Security, Algorithms for Modern Computing RELEVANT EXPERIENCE Software Engineer Intel Corporation, OR February 2017 - Present • Automated scripts to analyze defects data and model the root cause analysis to decrease defect rate significantly (~84%) with Python, MySQL in two quarters. • Worked on creating an innovative software to predict major customer issues by analyzing Tech Forum data (Natural Language Processing) with sentiment analysis and predicting trend for issues with internal products. Found correlation between customers reported major issues and community data and recognition for this effort, which could save money and effort by predicting and analyzing sentiments and working on issues before the issues are actually filed. Used Python, R, mongo DB, machine learning algorithms and JavaScript.

1. SURBHI BHATNAGAR
1241 NE Orenco Station Pkwy, Hillsboro, OR– 97124 | Phone:+1(631)507-6457| surbhibh@buffalo.edu
GITHUB:https://github.com/surbhiUB LinkedIn ID: www.linkedin.com/in/surbhib
EDUCATION
M.S. Computer Sciences State University of New York, Buffalo, New York December 2016
B.Tech Computer Sciences HMRITM, I.P. University, New Delhi, India May 2014
TECHNICAL SKILLS
• Languages: Proficient: Java Experienced : C++, Python, JavaFx, R
• Database: MySQL, mongo DB, Oracle
• UI Technology: HTML, JavaScript, JQuery, JSON, CSS, PHP, Twitter Bootstrap, WordPress
• Software/Tools: SolrLucene, MS Office, MATLAB, Eclipse, Adobe Photoshop, NetBeans, IntelliJ
COURSES: Machine Learning, Data Intensive Computing, Distributed Systems, Information Retrieval, Analysis of
Algorithms, Computer Security, Algorithms for Modern Computing
HONORS AND AWARDS
 Awarded the Topper of C/C++ Training, Accenture in the entire college hire batch of 2015.
 Amongst top 3 students in class rank and top ten students in college.
 B.Tech Major Project on reliable UDP recognized as one of the most innovative projects University wide.
 Part of the website designing team in Mechsonic Racing team of India from HMRITM participating in FSAE Italy.
 Won multiple accolades in Website designing and programming in various competitions.
RELEVANT EXPERIENCE
Software Engineer Intel Corporation, OR February 2017 - Present
 Automated scripts to analyze defects data and model the root cause analysis to decrease defect rate significantly
(~84%) with Python, MySQL in two quarters.
 Worked on creating an innovative software to predict major customer issues by analyzing Tech Forum data
(Natural Language Processing) with sentiment analysis and predicting trend for issues with internal products.
Found correlation between customers reported major issues and community data and recognition for this effort,
which could save money and effort by predicting and analyzing sentiments and working on issues before the issues
are actually filed. Used Python, R, mongo DB, machine learning algorithms and JavaScript.
Software Engineer/Intern Pharos Labs LLC, Boston, USA May 2016 – August 2016
 Designed and developed the first rich interactive GUI for the medical diagnostic tool using Java and JavaFX, which
enables dynamic data representation and visualization. Led the efforts for requirements gathering, to designing
and development.
 Working on development of the medical database through data analysis and mining and improving the software
based medical diagnostic tools being developed through feature development and testing.
Teaching Assistant University at Buffalo Mar 2016- May 2016
 Worked as a Teaching Assistant for Graduate level Machine Learning course for MIS program. Assisted students
with projects on language like R, worked with them on course lectures and helped debug coding issues.
Software Engineering Associate/Developer Accenture, India Oct 2014- July 2015
 Integral part of the Aristos Gemini CFM project working for AT&T. Responsible for collaborating with teams across
India and Philippines to gather requirements, design and solve customer-facing issues.
 Automated the modification and change requests on the Customer Financial Management systems by developing
shell scripts on UNIX with additional capability to schedule jobs.
Software Engineer/Intern DRDO- SSPL, India June 2013 – July 2013
 Developed a real-time interactive web portal for Car Reservation System as a new online concept in Indian
Automobile industry, using Oracle (backend), Forms 2.5, and Reports 2.5 (front end).
Software Engineer/Intern AlmaMate- Salesforce.com June 2012 – July 2012
 Designed and developed a Banking System using Salesforce.com which was a step to port to cloud technologies.
The banking system had features like debit, credit and could be customized according to the requirements.
TECHNICAL PROJECTS
Multilingual Search System for Tweets:
 Developed a complete Multilingual search engine which retrieves Tweets based upon queries, with focus on
ingesting, indexing and searching twitter data in 5 different languages. The retrieved results were shown along
with summarization and faceted search filters to refine search. The data was indexed using IR models.
 Using Solr Lucene and Java, experimented with various retrieval models, tagged the content with named entities
like Wiki links.
Handwritten Digits Classification Using Neural Networks:
 Implemented a Multilayer Perceptron Neural Network and evaluated its performance in classifying handwritten
digits. Using numpy and scipy Python packages, the training data and test data of large dimensions was normalized
and used for feature selection. The data was further used for feed propagation, error calculation and back

2. propagation.
Parallel Processing of Big Data using Hadoop Map Reduce:
 Parallelizing data processing using Hadoop MR. Design of interesting analysis questions and solutions
(Experiments) of University room allocation and Course and Student Enrollment Data over the years.
 Building an analysis and visualization user interface using Tableau.