Engineer Computer Science
Resume:
Nitesh Surtani
WORK EXPERIENCE
Software Engineering Intern Jun – Aug 2017
Audible Inc, Newark
Architected and implemented the migration of Li- brary Service over ElasticSearch previously stored in DynamoDB and exposed the data over REST-ful API.
Recorded 6x improvements on query timings with
massive enchancements in Sorting and Pagination.
NLP Engineer Feb 2016 – Jun 2016
NowFloats Tech Pvt Ltd, India
Architected and developed warehousing pipeline to consume data of our 250,000 SMEs from 12 different platforms, and store it in centralized RedShift DB.
Implemented a SQS-based product detection mod-
ule to analyze business updates from SMEs for prod- ucts, extract their details from various e-commerce sites and push targeted ads with best prices.
NLP Engineer/Co-Founder Jun’ 2014 – Oct’ 2015
SuperGenie, India
Ideated and developed an automated chat-and-voice based transactional chatbot (personal assistant) to book travel tickets and order food.
Co-ordinated in hiring process of NLP engineers
and organized sprints for the team.
SELECTED PROJECTS
Course Project Jan 2017 – May 2017
Music Recommendation Engine in PySpark
Developed a music recommendation engine using Col- laborative Filtering algorithm (PySpark MLLib) on Au- dioScrobbler last.fm database, containing the play count of artists for each user. Cross-validated the model on various hyper-parameters: rank, lambda
and alpha for achieving higher AUC score. (Github Link) Course Project Aug 2017 – Oct 2017
Sentiment Analysis with Deep Learning
Architected an LSTM and RNN-based sentiment clas-
sification model for Amazon product reviews, in col- laboration with Unilever. LSTM model outperformed
RNN achieving an accuracy of 92% for binary (0-1)
and 78% for multi (1-5) class.
Course Project: Team of 4 Aug 2016 – Dec 2016
Visualizing Emotion Flow in a Movie
Implemented a supervised model to predict the emo- tion in each scene by using the subtitles. The flow of emotions was visualized on a timeline, which de- picted the rise and fall of different emotions. (Github Link) Side Project Feb 2016 – Apr 2016
Amazon Product Identifier from Text:
This a synchronous SQS based HTTP REST service
written in Python, which takes the text input from the user and finds all the products matching on Ama- zon.com for the matching query. (Github Link)
b 74 W, 108 St, Apt #2B, New York - 10025
B ******@********.***
E www.linkedin.com/in/niteshsurtani
E www.github.com/niteshsurtani
E goo.gl/mpjy58
EDUCATION
2016 – 2017 MS in Data Science
COLUMBIA UNIVERSITY
Cum. CGPA: 3.8
2012 – 2013 MS in Computer Science
IIIT HYDERABAD
Cum. CGPA: 8.9
2008 – 2012 B.Tech in Computer Science
IIIT HYDERABAD
Cum. CGPA: 7.45
RELEVANT COURSES
GRADUATE Machine Learning, Applied ML,
Deep Learning, Big Data Analytics,
NLP, Algorithms, Statistics,
Exploratory Data Analysis
UNDERGRAD Algorithms, Data Structures, AI,
DBMS, OS, Advanced NLP
SOFTWARE SKILLS
LANGUAGES Python, Java, R, SQL
DATABASES MySQL, MongoDB, Redshift
TOOLKITS ElasticSearch, Spark, Hadoop,
CNN, RNN, TensorFlow, D3.js,
TensorFlow, NLTK, SKLearn, AWS
infra (S3, SQS, Kinesis, EMR)
PRESENTATIONS
CONF Oral Presentation at MTPIL, COLING
IIT Bombay – 2012 - (Paper)
Best Paper Award: Oral Presentation
at RANLP, Bulgaria – 2015 - (Paper)
POSTERS Poster at PACLIC - (Paper)
Conference in Bali, Indonesia – 2011
AWARDS
Young Researcher Award for Best Paper in RANLP,
Bulgaria (2015)
SuperGenie selected as one of the 20 startups
for Google LaunchPad 2015
IIIT-H Research Award 2011, 2012
Represented IIIT Soccer team
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