Sonali Gurnasinghani

Jersey Ciy, New jersey sonaligurnasinghani@gmail.com

DBMS | Database Web and Development | Database Warehousing, Mining and Visualization | IS Design and Development| IS Project and Change Management| UIUX| Marketing Research | Bigdata| Visual Design to Technology


Experience

Analyst

The Konark Urban Co-operative Bank Ltd.

I was responsible for gathering and documenting business requirements. I was mainly engaged in communicating with the stakeholder and delivering results are expected. Over the course of time, I have developed my critical thinking and I believe that I have strong communication skills which are the major requirement for any job. I have experience of working in the team and delivering milestones on time.

Oct 2017 - May 2017

Intern

The Konark Urban Co-operative Bank Ltd.

Managed customer information database and changed schema design to improve performance and assisted in data gathering and analysis of data with SDLC Methology

December 2011 - March 2013

Education

Pace University, Seidenberg School of Computer Science and Information Systems

Master of Science Information System

GPA: 3.6

June 2016

University of Mumbai

Post Graduate Diploma in Financial Management

Percentage: 83%

June 2016

University of Mumbai

Master (M.com) of Commerce

Percentage: 70%

June 2015

V.E.S College of Arts Science and Commerce

Bachelor of Management Studies (BMS) |Minor: Finance

Percentage: 70%

June 2013

Skills

Programming Languages & Tools

Projects

Global Super Store Analysis

Utilized Tableau for data exploration to understand dive deeper into the data and look for patterns and created dashboard reports on how different markets affect various customer segments

GNYIC – HR System (Microsoft Project)

Built charter using MS Project and Visio by defining goals, objectives, assumptions, and risks to improve systems. Evaluated a project plan by establishing a Work Break Down Structure to estimate budget

Black Friday Data Analysis

Performed data cleaning, imputed missing values, normalization and scaling to create a concise and clean dataset using R. Executed KNN classification clustering to different segments of buyers and tested regression model to each category to find it out accuracy of model Technology: R | Tools: R-Studio | libraries: Tidy verse, gg plot

E-Pass Mobile App

Conducted research and created personas, user-flows, scenarios, wireframes numerous prototypes of varying fidelity for usability testing and findings. Designed and developed a mobile application for user with the help of Sketch and OmniGraffle


Awards & Certifications

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