Vinayak Tayshetye

Student and Consultant in Philadelphia, Pennsylvania

Hire me

Professional with 2 years of experience in the field of Business Development as aSales Data Analyst.Worked extensively inCustomer Services, Sales, Logistic and Operation domain.

# SKILL SET:

SQL, SQL Developer, SAS Enterprise Miner, R - Statistical Language, Python Programming, Tableau, Data Mining, Google Analytics, MS Excel, Word.

# AREAS OF EXPERTISE:

Statistical Analysis, Predictive Analysis, Performance Dashboard, Team Leading, Decision Making, Negotiation, Marketing & Sales.

# EDUCATION:

● Saint Joseph's University, Philadelphia, PA.

MS in Business Intelligence and Analytics (2018)

● Maeer's MIT School of Telecom Management, India.

PGDM in Systems (2015)

● University of Mumbai, India.

Bachelors in Electronics and Telecommunication (2013)

# PROJECT DETAILS:

* Python Programming: (coursework project) (March-April 2018)

● Objective: To build a bank account application.

● Created an application to open, transact and manage bank accounts by an employee.

● Features: create a new account, allow credits/debits to existing account, allow to display a list of all accounts with the current balance, allow to display transaction history of an account, ability to show total balance available with the bank in all accounts and simulation that provides expected return on investment using marketing analytics.

* Predictive Analytics: (coursework project) (Oct-Dec 2017)

●Objective: To predict debtor with higher credit risk for loan default (charge-off) using SAS E-Miner.
●Built a model using to reduce lenders credit risk by predicting debtors with risk for loan default (charge off) using techniques like Regression, Decision Tree, Neural Networks, and model comparison.

* R-Statistical Language: (coursework project) (Oct-Dec 2017)

● Objective: To build a statistical model to predict Loan Defaults using R.

● Implemented R programming language to predict debtor with higher credit risk for loan default (charge-off) using techniques like Correlation, data partition, Regression, Decision Tree, Neural Networks.

* Web Analytics – tracking the Websitedietfitnes.com: (coursework project) (Feb-May 2017)
●UsedTableau to analyze and visualize web data to enable critical thinking about how users interact with a web application.
●ImplementedGoogle Analytics tool to analyze website traffic data, AdWords, tracked visitor’s behavior, enhanced
conversion rate, reduced bounce rate, created dashboards and reports.