Shuchita Shukla                                                                      +91 9035756010/+91 6360973523
HSR Layout, Bangalore	shuchitacs@gmail.com

Pin- 560102

Work Experience

Data Scientist , ABB Ltd.							June 2018 
Working on analytics and deep learning projects for different manufacturing BU.

Data Scientist, CSS Corp	May 2017- March 2018

Worked on machine learning algorithms, social media analytics to generate meaningful insights for Business. Worked on chatbot application and data analytics for healthcare data.

Data Scientist, Subex Limited	Aug, 2014 – April, 2017

Developed various analytical /statistical models using NLP, and machine learning for telecom domains. Handled huge volume of structured and unstructured data with the help of big data stack and built Parsers using data cleaning, data mining techniques to extract relevant insights at large scale.

Onsite Engineer, Subex Limited
Worked as an onsite engineer in a client facing role for a product of inconnect billing in telecom domain.

NLP Intern, IIIT Hyderabad	July, 2013 – April, 2014

Natural Language Processing (NLP) Research and Development open source project related to human computer interactions. Incorporates rule based approach with word sense disambiguation as its core module along with machine learning algorithms for language processing.

Education

M.Tech, CSE| Banasthali University, Jaipur	           2012 – 2014		
			
B. Tech, CSE | Kurukshetra University, Kurukshetra	    2008 - 2012		
			
A.I.S.S.C.E, C.B.S.E board | St. Mary’s Convent Sr. Sec. School Panipat, Haryana.	2007 – 2008	
			
H.S.E, U.P board| St.Anthony’s School, Allahabad.		2005 - 2006	

Work and Projects

Churn Analysis | R, MS Excel, Hive

Used Data Mining and machine learning models to understand, predict the propensity of a customer to churn and descriptive analytics on reasons for customers to churn on Telco’s data of Reliance Jio and Maxis Malaysia as part of two different projects.

Bad Debt and Credit Score Analysis | R, MS Excel, Hive

Used statistical programming and machine learning to build model which determines the propensity of a subscriber to cause bad debt for Reliance Jio and generate credit score for all the subscribers.

Dispute Data Analytics | R, MS Excel, Hive
Used machine learning to build model which predict the account and invoice risk for disputing and descriptive analytics on mitigation strategies for a customer Level 3.

Call Centre and Cell Site Analysis | R, MS Excel, Hive

Used statistical programming and machine learning to build model which identifies the community (people connected strongly in a network and the influencers with the network for Maxis Malaysia to take important business decisions based on the result.

Customer Acquisition, Sentiment and Experience analytics | R, Python, Hive, NLTK

Used NLP techniques, machine learning models and statistical programming to improve customer acquisition, reduce cost, optimize budget and product by sentiment and call network analysis, segmentation and clustering techniques.

Text Feature Analysis | R, Python, MongoDB, NLTK

Used various NLP techniques like optimism, sentiment, readability, vocabulary analysis and machine learning to derive blog features and predict hit rate of a blog and created a model to identify the features responsible for blog hit.

Topic Modelling | Python, NLTK, LDA

Developed a topic modelling module with LDA for extracting major topics of a document using Bag of Words, POS Tags, Lemmatization and Grammar rules in model for better accuracy.

Text Categorization and Clustering | Python, NLTK, MongoDB

Used NLP techniques to build a test categorization mode for clustering e-commerce announcements and enhanced it using Bag of Words, POS Tags, Lemmatization and Grammar.

Social Media - Network and Sentiment Analysis | Python, NLP, D3

Used NLP techniques such as - regex, stop words, lemmatization etc. for structuring and cleaning data procured from social media platforms. Built a data Streaming engine which fetches information from twitter, Facebook using APIs and performed Sentiment Analysis, Network Analysis and Demographics Analysis to get trends in popular smartphones.

Documents Data Mining | Python, OCR, Text Mining, Regex

Used python and text mining techniques and image processing to develop parsers to digitize data from pdfs and give a structured and formatted flat file and to reinforced image to text OCR.

Academic Achievements

•	Presented a research paper titled Incorporating Active Rules in Cloud Computing in a national conference held in Banasthali University February, 2013. 

•	Presented research work in a work shop, R&D Showcase, at IIIT Hyderabad. 

Co -Curricular
•	Active member of Subex Charitable Trust committee 
•	Won Governors Award for Scouting/Guiding 
•	Won Women of the match for Subex Premier League 
•	Organized college cultural fest and the core coordinator 

•	Won first prize in creative/imaginative writing at NIT Kurukshetra. 

Technical Skills

Languages and Databases: R, SQL, Python, Hive, Mongo, Apache Spark,Core Java

Framework and Platforms: Core NLP, NLTK, Text blob,Tensor Flow

Areas of interests: Data Science, NLP, Machine Learning, Regression, Big Data,Statistics