Data Analysis, Machine Learning, Python, R, Statistics, Deep Learning

GORLA VIVEKA

(M) 979-***-**** *********@*****.***

*** ***** ******, *** ***, College Station, TX-77840

Summary

Analytical Professional with 3 years of experience working as a Data scientist in research and course projects

Expertise in data extraction, cleaning, modeling and validation. Ability to deal with big data

Solid Programming experience working in R, Python (pandas, numpy, scikit etc.)

Good knowledge of Statistical methods like regression, classification, multivariate and time series analysis

Competent at building predictive and forecasting data models using supervised and unsupervised techniques

Familiarity with Design of Experiments, Machine Learning and Deep Learning Algorithms

Work History

Texas A and M University -college station 2016-17

Graduate Research Assistant

Splice site Predictions project (Python)

Built a prediction model for splice site identification on c-remanei species DNA sequence of length 25000. Anomaly detection problem with less than 1% of minority instances

Generated features from scratch along with analysis due to lack of inherent factors in data. Applied feature selection techniques to identify 100 predictors form 760 features generated

Achieved desired accuracy level with just 1/5th of data from reference literature decreasing computational complexity

Energy Demand Forecasting Project(R)

Forecasted probabilistic quantiles as opposed to traditional point forecasting for ISO New England hourly energy demand data.

Implemented deep learning techniques (probabilistic neural networks with multiple hidden layers) to draw patterns in probability

Incorporated the evaluation matrix Pinball Loss Function in the optimization of model parameters.

Email spam classification(R)

Built classification models to identify an email as spam or non-spam based on the key word count in the email

Using classification techniques like logistic regression and SVM’s with Principle Component Analysis

Achieved highest false positive rate available from the literature at the time

Build4scale

Assisting various professors in the Build4Scale project. The project aims at creating practical manufacturing and supply chain modules for cleantech entrepreneurs.

Preparation of class material, quizzes, assignments and solutions for a graduate level course.

ELGi Equipment’s Ltd. - Coimbatore 2014 -15

Graduate Engineer

Modeled, a compressor's cooling unit with wax thermostatic element, mathematically to identify thermal design issues. Theoretical calculation of initial temperature, cooling effect achieved and cooling temperature.

Designed and conducted experiments for validation. Coordinated between different technical and non-technical teams.

Designed and deployed interactive Excel model for design and production teams to predict temperature and oil rate

Skills

R, Python, C, CPLEX, Simio, MS Excel, Analytics, Machine Learning, Statistics, Deep Learning, Data Science

Education

Master of Science: (Texas A& M university - College Station) Aug’17 Industrial and Systems Engineering -GPA (3.7/4.0)

Bachelor of Science: (Osmania University - Hyderabad, India) 2014

Mechanical Engineering -GPA (3.6/4.0)

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