Data Analyst

Amruta S. Bhapkar, MS IS, Data Analysis

Jersey City, NJ

******.********@*****.*** 201-***-**** www.linkedin.com/in/ amrutasbhapkar

Solutions-Driven Data/Quality Analyst

Experienced Data/Quality Analyst with broad understanding of data. Capable of analyzing problem and designing recommendations including workflows, processed and procedures. Talented in performance testing, excellent at quickly identifying high level test strategies and problems. Effective communicator and problem solver.

Analytical Thinking

Data Mining

Scripting & Documentation

Risk Management

Data Modeling

Data Analysis

QA & QC Standards

Change Management

Decision Making

Troubleshooting

Professional Experience

Baramati Agro Limited

Data/Quality Analyst June 2015-June 2016

Worked as an Analyst performing root cause analysis of data quality & designing test strategy for large, complex, cross-functional projects.

Utilized advanced technical knowledge base to perform testing functions on multiple platforms.

Defined test process including required test activities, deliverables and test schedule.

Worked with team in extracting, analyzing and clustering data (according to customer demographic profile) from the data warehouse (ETL) to develop Sales Target accounts resulting in an increase in marketing source.

Gathered, Analyzed and documented Business requirements from Marketing Leaders and Product Managers for building a new sophisticated Marketing website architecture

Promoted business effectiveness and efficiency while striving for innovation, flexibility and integration with technology.

Worked on Tableau to create dashboards, effectively identified Key Performance Indicators to aid management make better business decisions in terms of monitoring and controls

Ensured team members met all testing standards by conducting reviews of all the test deliverables/artifacts.

Created reports and presentation of key components and milestones to Top Management

Consulted with both inter-organizational and outside client contact to ensure the use of best practices and industry standards.

Understanding of how changes impact work upstream and downstream.

Independently estimated and re-estimated projects while recognizing and communicating dependencies in cross functional testing as well as data to complete estimates.

Solved complex problems

Applied new perspectives to existing solutions.

Worked independently with minimal guidance.

Amruta S. Bhapkar ******.********@*****.*** Page Two

Education

Master’s Degree, Information System, 2018 GPA: 3.68

Pace University, New York, NY

Coursework- Data Analysis & Decision Making Data Modelling Database Programming

Big Data Database Design & Web Development Project Management

Bachelor’s Degree, Electronics and Telecommunication, 2015 GPA: 3.1

Pune University, Pune, India

Technical Skills

Applications/Tools: JIRA, Jenkins, MySQL, Nessus, MBSA, Power BI, Pivot Table, Photoshop, Visio, Tableau, MS Office, Rapid Miner.

Programming/scripting: Java, R, PL/SQL, Json, Python, HTML, CSS

Web technologies: HTML, XML, PHP

Database: DB2, SQL, Oracle, SQL Server, Teradata, Oracle (SQL Series)

Projects

Predicting Purchasers of Mobile Home Insurance- Data Mining/Analysis

Performed Data profiting and tabulation of data types for every variable. Performed EDA (Exploratory Data Analysis), found the relationship between key predictor variables and target using correlation matrix.

Built a logistic regression model, to predict whether the customer is interested in buying a mobile home insurance policy, thereby increasing the potential customers.

Helped in targeting people interested in purchasing Mobile Home Insurance, thus reducing unwanted scope Environments: Rapid Miner, Ms-Excel, Stat tools, Pivot tables.

Loan Disbursement Risk Analysis- Data Mining/Analysis

Used a data set containing income, loan amount, mortgage and age of

individuals. Performed KNN Analysis and normalized the data to remove

redundancy

The data was split into trained and tested data. We compare this with the

predicted data and acquired an accuracy of 88%.

Course Feedback Polling System - Web Development

Implemented a web application to aid in weekly course evaluation using

HTML, CSS, PHP and MySQL. Available through Pace University

blackboard page

Contact this candidate