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Data Professional Experience

Location:
Mason, Ohio, 45040, United States
Posted:
January 18, 2018

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Resume:

906-***-****

SATISH C. PENUMARTI

****, ****** **** **. *** 208

ac325e@r.postjobfree.com

https://www.linkedin.com/in/satishpenumarti

Mason, OH 45040

SUMMARY: Graduate student in Data Science with experience in the areas of STATISTICAL PROGRAMMING, MATHEMATICAL ANALYSIS, DATA MINING and JAVA seeking full-time opportunities in the field of data science

Adept in analyzing data using R and SAS and working with structured and unstructured data.

Good understanding and experience in analyzing business needs and providing solutions

Two years of professional experience at Tata Consultancy Services(TCS) and internship experience of 8.5 months at 24G

EDUCATION:

MS in Data Science at Michigan Technological University. Planned completion: May 2018

Bachelor of Technology (BS equivalent) at GITAM University, India. July 2010-May 2014

TECHNICAL SKILLS:

Analytics: R, SAS, AMAZON S3 and AMAZON REDSHIFT

Programming languages: JAVA and PYTHON

Database: SAP-HANA and MySQL WORKBENCH

Query Languages: SQL

Data Visualization: TABLEAU and R

MS Office tools: MS OFFICE SUITE including VISIO, EXCEL, POWERPOINT

INTERNSHIP EXPERIENCE:

Organization: 24G

Troy, MI

Designation: Data Analyst Intern

May-December 2017

Project 1: Amazon Analytics:

Objective: Optimize Amazon campaigns marketed by the organization using data analytics

Handled Amazon campaign data for various analytic insights.

Analyzed the performance of Amazon campaigns through various parameters of Marketing data like Advertising Cost of Sale, Click Through Rate

Recommended optimum values of given variables such as Sales, clicks, impressions of camping data for a given scenario for Amazon campaigns

Briefed about various tools and technologies like Sellics, Amazon Web Services (AWS) etc. that can be useful for the organization to achieve the objective

Modulated the usage of phrase, broad and exact phrase search for the words in Amazon search engine using DATA MINING techniques.

Forecasting of certain variables of campaign data over the life cycle of Amazon campaigns

Delivered various insights regarding performance of keywords in Amazon campaigns using TEXT MINING

Suggested how to affectively identify negative keywords in marketing campaigns among numerous keywords

Recommended how to use the customer search term data better.

Improved sales of products from various campaigns

Project 2: Data Analytics:

Objective: Data Handling

Handled HUGE DATASETS related to various clients

Transferred data sets from AMAZON S3 to AMAZON REDSHIFT using various methods like COPY command, Amazon Glue and SneaQl

Transferred multiple large data files from Amazon S3 to Amazon Redshift using Manifest command

Responsible for HANDLING, CLEANING AND PROCESSING of large data sets

Responsible for maintaining data of various clients

GRADUATE ACADEMIC PROJECTS: PROJECT-1:

Objective: Investigate whether we can use data analytics to PREDICT the success of a particular song

Analyzed large data set consisting of 591 songs and its features using R

Collected data such as causticness, dance ability, energy, loudness, speechiness, liveliness and tempo

Analyzed features of songs and built MACHINE LEARNING (ML) models such as GAUSIAN MODELS, NAÏVE BAYES and DECISION TREES

Delivered report describing the analysis performed on this data

Proved that we can use data analytics for the prediction. The accuracy was 61.2%

PROJECT-2:

Objective: TIME SERIES ANALYSIS of Dow Jones industrial index

Analyzed marginal univariate (scalar) random variables and dependent multivariate (vector) random variables. Log transformed model of data is considered as best fit for the given data. It is more stationary

Checked and verified the dependency of data through ACF plots

Analyzed data through various tests for Normality, Stationarity and performed Ljung-Box test and Time Series Diagnostic. Found out that data consists of heavy tail problem

PROJECT-3:

Objective: Investigate the efficacy of a variety of domain specific methods of improving memory-based collaborative filtering (CF)

Analyzed data set containing artists each user currently listens to, and associated weights, list of genres, instances of a user “tagging” an artist as a certain genre

Divided the features into overlapping domains, which both reduces model complexity and improves accuracy. Used a weighted average of the domains recommendations

PROJECT-4:

Objective: Identify an area of the organization (i.e., its strategies, processes, controls, etc.) that can be improved to attain greater competitive advantage or better sustain current competitive advantage

Collaborated with a team comprising MBA students and data science students to solve an area of improvisation in an organization

Responsible to recommend IT security area for “The Medicine Shoppe Pharmacy’’ located at Grayling, Michigan

Understood the organizations business, organizational, and information security strategies from multiple perspectives

Identified an area of the organization that can be improved to attain greater competitive advantage or better sustain current competitive advantage

Recommended LastPass, a secure file management tool to improve the IT security of the organization

PROFESSIONAL EXPERIENCE:

Organization: TATA Consultancy Services, INDIA. August 2014-August 2016

Designation: System Engineer.

Developed and deployed an android sales analytic application for CEO and CFOs of TCS. The application is used to track, the win-loss history of opportunities for TCS

Performed real time analytics on business data using SAP - HANA

Analytical reporting using HANA Studio for CFO. Reports contain analyzed business data of internal projects

Successfully Tested and corrected Sonar Qube Errors in Java applications to meet coding standards

Collaborated with analytics team to develop middleware portion of various android analytics applications

Provided technical assistance for development of various Java applications

CO-CURRICULAR ACTIVITIES:

Volunteered for “Diwali night”, a cultural event at Michigan Technological University

LEADERSHIP SKILLS:

Organized blood donation campaigns during under graduation where more than 500 people attended

INTERESTS:

Playing cricket, roller skating, hiking



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