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Data Analyst

Location:
San Diego, California, United States
Posted:
August 30, 2018

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Resume:

MUDDAPU LOHITH MOBILE: +1-214-***-****

https://www.linkedin.com/in/lohith-muddapu-bb81a151/ EMAIL: ac6vjf@r.postjobfree.com EDUCATION

The University of Texas at Dallas, M.S., Business Analytics, August 2018 Relevant Coursework: Statistical Modeling, Probability Modeling, Data Mining, Data Management, Big Data Analytics, Classification, Clustering, Regression models, Machine Learning, NLP, Predictive Analytics National Institute of Technology, Warangal, MTech., Power Systems Engineering, May 2015 Osmania University, Hyderabad, India, BTech, Electrical and Electronics Engineering, May 2012 CERTIFICATIONS AND TECHNICAL SKILLS

Technical skills: Python, Tableau, R, SAS, MS Excel, MATLAB, T-SQL, MONGODB, Informatica, GitHub, SVN, AGILE, JIRA. Big Data Environment: Hadoop Architecture, Spark, Hive, Impala, Scala, SQOOP, PIG, AWS Database: SQL, PL/SQL, MS SQL Server, Access, Oracle, Mongo DB Optimization Tools: Excel Solver, MATLAB

Certification: Python for Data Science and Machine Learning Bootcamp, Tableau for Data Science. Paper Publications: Conferences – 5 (Published), Journals - 2 (Under Review). ACADMIC PROJECTS

Hadoop Environment Tasks, UT Dallas Jan 2018 – March 2018

• Performed Sentiment Analysis on twitter data and Predictive modelling in Spark on London Crime rates using MlLib.

• Extracted, transformed, cleaned and analyzed data from multiple sources in SQOOP, SQL, PIG, Tableau, HIVE, Scala, Spark. Marketing Predictive Analytics – Hertz Car Rental, UT Dallas May 2017 – July 2017

• Predicted an increase of $1.2M in Hertz revenue by increasing the rental price by 5% for each cluster.

• Recommended email promotions to the customers by Geography targeting the cities to increase the Hertz Rentals.

• Applied clustering using Latent GOLD class to determine the optimal number of clusters and significant variables.

• Performed Price elasticity modelling, Regression on clusters to identify the price sensitivity of each clusters and predict the revenue. Programming for Data Science – Creating and Optimizing an Airline Schedule, UT Dallas May 2017 – July 2017

• Optimized the flight schedule to maximize the number of flights per day scheduling 66 flights per day.

• Developed flight schedule meeting the basing criteria (i) All aircraft fly at least 5 flights per day (ii) All possible markets (AUS-DAL, AUS-HOU, DAL-AUS, DAL-HOU, HOU-AUS, HOU-AUS) have at least 3 flights per day.

• Scheduled all flights arrival and departure time within limitations (departure time 06:00 and arrival time 22:00). Application of Synchronous Samples for Power Systems Protection, L&T, India

• Developed machine learning Neural Network models to accurately pin point the faults with an accuracy of 0.2m in MATLAB.

• Modelled Phasor Measurement Unit (PMU), developed algorithms in Python and MATLAB. Succeeded in efficiently detecting, classifying and isolating faults within 2 milli seconds run time. WORK EXPERIENCE

Data Scientist Intern, Illumina HQ, San Diego, California May 2018 - Present

• Built Predictive models to help Senior Management with performance variance of Projects, Resource hiring and Customer sales using SQL, Python and tableau

• Analyzed and processed data from multiple sources using SQL to create end to end solution for executive dashboards using Tableau in Business Operations

• Deployed scripts to automate the business evaluation dashboards. Instructor at CS Outreach, University of Texas at Dallas, July 2017 – August 2017

• Trained students at coding camp on Python and SQL. Data Analyst, Parul University, Vadodara, Gujarat, India July 2015 - December 2016

• Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers.

• Created reports and dashboards using SAS, R, Python, Tableau and Excel for daily and weekly status reports.

• Built logistic regression model to optimize Electrical Power Grid Fault Analysis.

• Handled subjects Introduction to Machine Learning, Signal and System analysis, Electrical Machines and Advanced Computer methods in Power Systems.

ORGANIZATIONS

• Instructor at CS Outreach.

• Member of Intelligent Analytics Society at UTD and IEEE.

• Worked as a freelance at Gate Academy, India and provided my services for many academically challenged students and helping them achieve their goals in life.



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