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Sales Representative Data

Location:
College Park, Maryland, United States
Posted:
February 13, 2019

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Resume:

MAYANKA KUMARI JHA

College Park, MD ***** 240-***-**** ac8hg7@r.postjobfree.com www.linkedin.com/in/mayanka-jha/ www.mayankajha.com EDUCATION

College of Information Studies, University of Maryland, College Park, MD Aug 2017 – May 2019 Master of Information Management, Focus Area: Data Analytics GPA – 3.92

§ Relevant Coursework: Statistics, Machine Learning, Big Data, Computational Linguistics, Social Network Data Analysis

§ Teaching Assistant, Database Design and Modeling, College of Information Studies (Spring 2018)

§ Graduate Student Data Analyst, Office of Senior Vice President and Provost, UMD (May 2018 – Present) Heritage Institute of Technology, West Bengal University of Technology, Kolkata, India Jul 2010 – Jun 2014 Bachelor of Technology, Electronics and Communication Engineering GPA – 3.63 SKILLS

Data Analysis and Modeling Tools: Python, R Database: MySQL Server, Graph Database using Neo4j Data Visualization: Tableau, PowerBI Machine Learning, Deep Learning, Text Analytics, NLP Big Data: Hadoop Framework, PIG, Hive, Spark Tools: GATE, Drupal, Microsoft Excel, SharePoint Programming: C, JAVA, Perl, PowerShell Scripting, Agile Development PROJECTS

Natural Language Processing

§ Quiz Bowl: Enhanced the QANTA baseline Tf-idf system of predicting answer for quiz bowl question answering competition by exploring part of speech tagging, answer mapping to freebase database utilizing fine grained entity tags (FIGER) and deep averaging network (DAN) model using pytorch

§ Big Data Cybersecurity Independent Study: Decoupled termite visualization from the termite data pipeline which enabled the implementations of LDA and other topic modeling algorithms to leverage the interface provided by termite Deep Learning and AI

§ BabySteps - A Teachable Step Counter: Built a convoluted neural network model which was embedded in an iPhone app. It allows users to train the algorithm for the purpose of adapting it to their unique walking pattern Predictive Analysis

§ Lending Club: Implemented machine learning algorithm to predict loan status for peer-to-peer lending platform using Python

§ Lending Club App: Created an interactive dashboard for data exploration using R Shiny Database Design

§ WikiBreach Database Design: Implemented relational database system using MySQL Server for WikiBreach web app and developed python scripts to ingest and process cyber breach data from different sources to maintain the historical data repository

§ Computational Curation of a Digitized Record Series of WWII Japanese-American Internment: Implemented graph database using Neo4j to explore the primary and secondary relation among the Japanese Americans WORK EXPERIENCE

PricewaterhouseCoopers LLP, Forensics Technology Intern Jun 2018 – Jul 2018

§ Designed and developed Power BI visualization solutions to create analytical dashboards that enabled decision makers to track the success and adoption of newly implemented Office 365

§ Developed information architecture of the SharePoint sites using card sorting and user interview methods

§ Developed PowerShell scripts for automated SharePoint site creation Infosys Limited, Senior Analyst, UK Jul 2014 – Jul 2017

§ Leveraged the knowledge of global SAP BI reporting architecture and used the SAP business objects tool to develop reporting solutions and provide ad-hoc data extracts and analysis to senior bankers, operations team and salesperson.

§ Developed perl scripts which incorporated comprehensive SQL (Oracle SQL) to enable data modification of production tables during ongoing debt deal and reduced the no. of incident tickets by 100%

§ Created interactive dashboard using Tableau for quarterly reporting of ongoing equity and debt deals which enabled sales representative to track the deals for their investors

§ Enhanced application to incorporate New-Zealand trade booking which saved the re-certification cost using JavaScript

§ Automated manual processes through creation of slang server page which optimized the SLA by 80%

§ Spearheaded global calls to build a knowledge base of common issues and improve support team’s efficiency

§ Configured various milestone jobs to indicate the completion of end of day pricing using the firm’s process scheduler tool which eradicated the manual monitoring of jobs

PUBLICATIONS & ACHIEVEMENTS

§ Fake News vs Satire: A Dataset and Analysis - WebSci'18 proceedings and ACM Digital Library

§ Promoting Data Science for Accessibility with Publicly Available Datasets – Winner of Jan 2018 Research Improvement Grant hosted by College of Information Studies, UMD

§ Winner of 2018 MIM Alumni Scholarship Award



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