SATISH C. PENUMARTI
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