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Data Science

Bloomington, IN
March 28, 2018

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Nagendra Srikanth Ramanam

**** ********* **** **** ******, Apt H-3 Bloomington, IN-47408. Mobile: +1-812-***-**** M.S. in Data Science, Indiana University August 2016-May 2018

Bachelor Major: Skills Machine Visualization: Programming: GPA: Databases Social 3.Computer and 71, Media of Learning: Courses: Engineering, & Abilities ETL: Mining, matplotlib, Python, Science SQL Statistics, scikit-High Server, R, Vasavi learn, C, Tableau, Dimensional C+Advanced +PostgreSQL, TensorFlow,, College C#ggplot,, Java, Database Data of T- Engineering.MySQL, R SQL. Spark Analysis, shiny concepts, Web: MLlib. MongoDB, Platforms: Computational, HTML5, Osmania Data: Machine SSIS. pandas, Windows, JavaScript, University Learning, Big Linguistics, Data: numpy Linux, JQuery, ML Hadoop, Data for Windows CSS, signal Visualization, Hive, ASP.processing, Spark Azure, NET August SQL Deep Big Azure. 2016-Learning. Data May Software, 2011 Work Experience

Software Developer, . Rotational Projects Awards Los As Stance Big Led Graduated Developed Designed Approval 1st In-Developed Key Recipient Awarded on worked business. Databases custom applications questions using development, underserved neighborhoods, a prize(depth Angeles Data Responsibilities: 100000 the Program n-Detection Quality Engineer, Team lexicon and grams Analytics, in and Question of Software Ratings Engineer, University from Key modules ASP.into assignments to Delight medical Crime developed that areas the Manager, Recognition of practices automating NET, 6 MPQA Microsoft Analysis on time 4)main then of cater for Microsoft Development, Data 1.Classification of Estimating in the DB records tweets Microsoft Indiana Formulating 3 periods Information Political subjectivity Mental .nascent and million NET to modules Customer, implemented SQL spanning researched Analyis: team Indiana Academy UI, 50 Web using on Server Medicaid Corp.Health and REST sub-tweets SQL Corp.Leaders distributed of Patient for Engineer applications, Test Statistical development, University’s forecasting. using 10 Lexicon, Computational categories. Connect, Azure. Technology databases, services, and high India for Care., for collected include India strategies, Data Readmission adopted College using Convolutional Microsoft’s impact in Analysis MALT file the and Test DB Challenge, Training: hybrid migrated Used 7 analyze system Twitter: over Company Time campuses based Services, ASP.quality Hires best collaboration parser’s Star Linguistics: using R, 10 key Agile NET practices Series Python, award to Probability: relational tests, weeks. (TREC on Performed MACH)Neural assurance digital October predict SQL, awards dependency web Bloomington, models, and premise Analysis Code for labeled Python, Pandas Checked applications about with in supply, Bag Nets: excellence an readmission data 2017, IT at Reviews, Code Sentiment application accelerated and of diverse Microsoft Engineering A questions, 60000 to Trained and for Random Hadoop words, chain triples. results for program identify Reviews, IN data provide the in security for stakeholders, clients. management probability classification quality Analysis CNNs Used for processing solution, and against Microsoft’s to Forest, development Test the for Windows higher two management. data Spark Python, most and using SQL driving Data: assurance. projects popular Tableau using solutions Detecting performance rates Server, using based affected and ASP.project, Word2vec, TREC digital using Azure, Stanford up Affin, and matplotlib NET of for sources Visualization. Spark quality analytics SSIS, and Test for TIMBL, supply leadership and demographics, Activation exemplary migration August SentiwordNet web June November IU Quora CoreNLP ML Glove Data Automation. testing. predicting and like Print 2011 development, chain enhanced for solution, algorithms. 2013-processing. agility Gallup. datasets. to visualization. program for web – of execution. 2016-classify parser. July business. October On-Office. and in trained 2013 present features Premise our – SQL 2015

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