data analyst
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data analyst

Prady Manepalli
US Citizen w Willing to Relocate

SUMMARY

A hardworking and outgoing college student that blends programming experience in academia as well as tech start-ups with the analytical problem solving skills gained from R&D work. Known for providing quality, on- time deliverables with clear and accurate analyses. Proficient in Big Data applications with diverse skill set ranging from Natural Language Processing to Machine Learning. Excellent interpersonal, phone and digital communication skills.

EXPERIENCE



Stony Brook University
Natural Language Processing Researcher May - Aug �17(Part time)
� Developed models to predict health/psychological factors in patients based on essays written at age 11
� Improved existing Python interface to create topic models using Latent Dirichlet Allocation
� Identified key phrases/topics that strongly correlate with future health/psychological disorders
� Implemented machine learning classification algorithms to predict whether patients would experience heart diseases or diabetes based on language features extracted from the essays.

Mithril Cloud Inc Helpdesk Intern May to October 2017 (Part time)

� Perform numerous server migrations on both Linux/Unix and Windows servers. Migrations include moving all clients and their data, configuration settings, testing and verifying everything is correct with zero downtime.
� Experience in Agile, Scrum software development environment and Application Lifecycle Management.
� Have a good understanding of Cloud-as-a-Service varieties: Saas, PaaS and IaaS.
� Experienced in branching, tagging and maintaining the version across the environments using SCM tools like GIT, Subversion (SVN) on Linux and Windows platforms.
� Experience in using tracking tools like Rally, JIRA, Remedy, Service-Now.




University of Michigan Athletics Department
Health Analytics Student Consultant Jan � May �17
� Developed player fatigue models using player tracking and biometric data from the University of Michigan Women's Basketball Team to evaluate load/stress on athletes.
� Implemented a neural network to classify the athletes level of risk for injury. ROC-AUC: .84
� Created a modified practice schedule alongside trainers and coaches to reduce the 5 day moving average of player load before games by 50%
� Injuries decreased by 35% from the previous season
Sprinklr Inc.
Data Science Intern Jun � Dec �16
� Developed program to identify �Top Phrases� in Italian, French, Spanish and German social media data, increasing language coverage by 45%
� Optimized the algorithm and the logic flow used for language detection to improve detection speeds by
~10%
� Created machine learning queue to reduce misidentification in the language detection model between Chinese and Japanese character sets by 18%.
� Built and prototyped new knowledge portal with automated insights, which reduced load on support team by 20 questions a day in testing.

COMPUTER SKILLS
Platforms: Windows Vista/7/10, Mac OS, Linux
Languages/Technologies: Java, C++, R, Python, HTML, Matlab, ElasticSearch, MongoDB, MySQL, JavaScript, Git


EDUCATION

Data Analyst Nanodegree- Udacity Inc. Jan �18
Relevant Coursework: Exploratory Data Analysis, Data Wrangling+Cleaning, Data Visualizations in Tableau

Bachelors of Science in Engineering: SUNY Westbury Expected graduation: Dec 2018

Bachelors of Science in Engineering in Data Science: University of Michigan, Ann Arbor
Relevant Coursework: Data Structures + Algorithms I+II, Data Mining, Web Database Systems, Applied
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