RESHMA HALAKATTI ac587m@r.postjobfree.com

*** *** ******, ****** ** 18507 Ph. 570-***-****

SUMMARY

Data analytics professional with progressive and diversified experience in Data and Digital Marketing Analytics with extensive experience on analyzing large datasets, analysis of business process and requirements, predictive modeling, reporting, quality assurance, web analytics and data visualization.

EDUCATION

Master of Science, Management Information Technology & Analytics Grad- Jan 2018

Rutgers Business School, Newark, New Jersey GPA- 3.7

Bachelor of Engineering, Information Technology Grad- Aug 2012

University of Mumbai, India

WORK EXPERIENCE

John Wiley & Sons, Data Research Associate (Data Governance & Analytics) May 2017- June 2018

Generated weekly customer data quality monitoring reports using IBM Cognos BI and managed daily customer data corrections provided through daily error report to fulfill the business requests and ensure adherence to Wiley’s data governance entry policies.

Collected and analyzed data from multiple sources for the development of reports thus contributing to the overall accuracy, completeness and data validation, management and timeliness of global customer data using Informatica Master Data Management (MDM) Tool.

Extracted data using Oracle SQL Developer, evaluated the customer data using Excel and Qlikview, and created dashboards for reporting purposes to provide continuous improvement towards process.

Designed interactive dashboards using Tableau from multiple data sources, to measure KPIs of global team, saving 10 hours of management’s manual effort per week.

Deloitte Consulting USI, Business Technology Analyst June 2013-July 2015

Analyzed web application for CCW project consumers and as a member of cross functional team coordinated actively with the onshore/offshore teams, development teams, design teams for development and changing needs, to improve the online and mobile experience as part of Deloitte Digital.

Identified critical issues using web analytics testing strategies, on multiple devices, different browsers to analyze trends, customer behavior and enhance overall consumer experience.

Developed reports to measure the quality and KPI’s to optimize user experience and site enhancement

Developed interactive dashboards using MS Excel and Tableau, for data transformation and visualization to improve overall website performance required for data analysis and reporting.

Developed reports to track metrics as a member of cross functional team and coordinated actively with the onshore/offshore teams, development teams, design teams for development and changing needs, for the California Child Welfare project for the improvement of the web design to analyze and enhance overall consumer experience.

Analyzed functional/business requirements to elicit data related to beta data and integration mapping across disparate clients for the applications and updated requirement document as per business user’s feedback and changes in functionality of the applications.

Performed system and regression testing to support quality assurance, deliver high customer satisfaction and periodically interacted with the onshore team regarding the progress of Tennessee retirement project module.

TECHNICAL SKILLS & CERTIFICATION

Tools: Informatica MDM, IBM Cognos BI, QlikView, R Studio IDE, IBM SPSS, Tableau Visualization, Google Analytics, Google trends, Microsoft Foundation Server TFS.

Technical: R programming, SAS programming, Python, Data Visualization, MSSQL, Oracle SQL Developer, MS Access, Pivot Tables, Advanced MS Excel, MS Word, MS PowerPoint, Digital Analytics, A/B testing, Operations Analysis, Forecasting techniques, Statistical Analysis,

Certification: Google Analytics, ISTQB Foundation level

ACADEMIC PROJECTS

Data & Marketing Analytics Fall 2016

Developed a Voice of Customer (VoC) survey and performed data analysis using R to survey, analyze and recommend for general merchandise retailers brand positioning by developing perceptual maps using SPSS.

Performed marketing research, qualitative& quantitative analysis and statistical analysis to gauge the overall customer satisfaction to determine the attributes that drive the success of building brand image.

Analyzed and provided recommendations on real time business problems (case studies) with focus on customer acquisition, interpreting and transforming data, deriving actionable insights with web analytics to optimize web sites by incorporating testing and experimentation, SEO, measuring KPI’s, web traffic and trends.

Performed data analytics on IMDB movie dataset to predict greatness of the movie using predictive modeling techniques like Regression available on R and data visualization on Tableau without relying on the critic’s review.

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