Devendra Mishra

Los Angeles, CA ***** • 385-***-****

ac2a07@r.postjobfree.com LinkedIn

EDUCATION

Masters of Science in Information Systems December 2017 University of Utah, Salt Lake City, UT GPA 3.74

Bachelor of Science in Medical Electronics July 2012 Visvesvaraya Technological University, Bangalore, India GPA 3.50 EXPERIENCE

Analytics Intern, inContact May 2017- Present

Document Ranking & Classification

Designed and implemented a document ranking algorithm based on human readability of text using n-gram, obtained an accuracy of 80%

Collaborated with linguistics team to understand the design of various NLP pipelines which helped in data extraction

Developed a classifier to automatically distribute transcriptions in to appropriate classes

Implementation of projects in the Analytics application increased customer satisfaction by more than 90%

Performed feature engineering and validated different precision approaches to check the results

Extensive research work in the areas of NLP while identifying important features and algorithm designing Test Engineer, Infosys Limited September 2012 – June 2016

Involved in every phase of STLC, from preparing test strategy to bug reporting and regression analysis

Processed broad section of the OTC derivative contracts and Clearing obligation data using Informatica Power Center for eligible OTC markets

Prepared functional test scenarios and test cases, requirement traceability matrix (RTM), defect reporting and tracking using HP QC and Microsoft Test Manager, for both web based and system integration testing

Improved the code coverage from 50% to 85%

Identified critical modules for automation which reduced efforts by 45% SKILLS

Core Skills: Python, R, SQL, Machine Learning, Data mining, Statistical Analysis, NLP

Database: Oracle, MySQL

Big-Data: Spark, Spark streaming, SparkSQL

Tools: LiClipse, R-studio, WEKA, FileZilla, WinSCP, Application Lifecycle Management, TFS, Git Academic Projects

Big-Data Capstone project: Property sale estimator application for Berkadia

Performed extensive data cleaning and analysis of more than 450k records

Implemented a classification model to determine the likelihood of property being sold

Performed predictive analytics on the sale amount of the property and created a regression model with a R- squared value of 86%

Performed feature engineering which reduced the dimensionality and thus, improved the final accuracy and performance of the model

Classification Model: Sentiment Analysis of Amazon product reviews and ratings (Data Mining)

Developed a classification model using Recurrent Neural Network(LSTM) techniques with 92% model accuracy

Clustering and classification methodologies were applied to club similar reviews into a bucket

Sentiment analysis on the product ratings and reviews to segregate positive and negative comments Advanced Regression Techniques: House Prices (Kaggle competition)

Developed a predictive model using regression technique to perform pricing analysis of house prices with lowest RMSE using R

Identified, only 5 strong variables out of 80 by doing various explanatory analysis. Obtained a kaggle score of 0.150

Revenue prediction and pricing analysis: School Improvement Networks (Business Intelligence and Reporting)

Analyzed pricing strategies to increase the revenue and market share of the company in California state by 50%

Created reports using Microsoft Excel and Tableau 10.0

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