1. SINDHUJA KANCHARLA +1 (631)-415-7036 sindhukancharla206@gmail.com
EDUCATION:
SUNY Stony Brook University Masters in Computer Science Aug, 2015 - Dec, 2016 CGPA : 3.63/4
BITS Pilani Hyderabad Campus B.E.(Hons) in Computer Science Jun, 2009 - Jun, 2013 CGPA : 8.29/10
TECHNICAL COGNIZANCE:
Languages: Proficient: Java, Python, C Moderate: R, PHP
Web Development: JavaScript, JSP, D3, JQuery, AJAX, Coffee Script, Jinja2, HTML5, CSS, Node.js
Frameworks: Spring, Flask, Docker, J2EE, Hibernate, REST, Hadoop, AWS, JavaFX, Swing
Databases: MySQL, SQL, Postgres-SQL, Redshift, SQLite, CouchDB, MongoDB, Hive
Softwares: Apache Stanbol, Apache SOLR, GATE, Elastic Search, Logstash, Kibana
PROFESSIONAL EXPERIENCE:
DEPT. OF PUBLIC HEALTH, STONY BROOK UNIVERSITY Senior Research Aide Jan, 2016 – Current
● Worked with twitter data to analyze the effect of Day Light Savings on sleep patterns. Used: Python, S3.
● Used Yahoo NBA players’ stats and their tweets to understand the correlation between a player’s performance
and his sleep cycle with Prof. Lauren Hale and Prof. Jason James. Used: Python, Web Scraping.
METRIC COLLECTIVE, NY Software Engineer Intern May, 2016 – Aug,2016
● Worked with the Facebook Ads API and Google Adwords API to collect stats of ads for various clients and created
visualizations, which were used to analyze spends of around $16M. Used: Python, CoffeeScript, Plotly.js
● Implemented a github-hook which collects every commit and push into the organization repository to keep
track of developers’ performances and progress of several sub-repositories. Used: Python, Postgres-sql
● Developed a Slack Alert system to monitor the health and stats of GCloud PubSub architecture.
AFFINE ANALYTICS Software Developer, Business Analyst Nov, 2014 – Aug, 2015
● Designed and developed a system for ActiVision, to identify the trends and sentiments of several aspects of
the game “Call of Duty” with the help of Twitter and Reddit data. Used: Python, ELK stack.
● Developed an Affinity Analysis Tool using the Market Basket Analysis technique which generated product
combinations for strategies like Bundling, Promotion and Placement. Used: Java, Spring, JavaScript, AJAX, Hive.
SIGMOID ANALYTICS Software Engineer Jun, 2013 – Nov, 2014
● Developed a Document Recommendation Engine with entity tagging. Used: Apache Stanbol, SOLR, CouchDB.
● Developed a systemto extract relevant features fromlengthy descriptions of products. Used: Java, GATE.
AMAZON Software Development Engineer Intern Jan, 2013 – Jun, 2013
● Worked on the Periodic Scan project which ensures that every transaction performed at Amazon is compliant
with the constantly updating GDM list of blacklisted users. Used: Java, JUnit, Hibernate.
ACADEMIC PROJECTS Aug, 2015 - May, 2016
● Worked on collecting data from different sources and various domains in a consistent format by scraping,
parsing and cleaning for building a Generalized Lexicon for Topic Modeling. Used: Python, Web Scraping
● Developed a hybrid recommendation engine for Expedia Hotels using Naive Bayes, KNN and Matrix
Factorization and a personalized recommendation engine for Foursquare by including users’ twitter profiles.
● Worked with Linear, Logistic and PCA Regression models to analyze the correlation between attributes like
age, gender and industry in a blogs corpus. Used: scikit-learn, numpy, scipy and Pandas.
● Built a Linux system call which performs asynchronous operations like encryption, compression and
concatenation of files, based on priority. Used: C, CryptoAPI, WorkQueueAPI, PThreads and Signals.
● Solved the VAST Challenge of investigating an epidemic spread by visualizing given data of blogs, tweets and
network data using entity extraction, clustering and sentiment analysis. Used: Python, Flask, D3, JavaScript