Data analysis & reporting, market research, SPSS, weka, Tableau, SQL

DAKSHA TAWDE

*** ****** ******, *** *, Harrison, NJ-07029 Cell: 973-***-**** Email Id: ************@*****.*** EDUCATION:

Rutgers Business School, Rutgers University, Newark, NJ December 2016 Master of Science-Information Technology GPA:3.6

University of Mumbai, Mumbai, India June 2015

Bachelor of Engineering-Information Technology GPA:3.7 EXPERIENCE:

Fast Bags Corp New Jersey, USA

Data Analyst Intern August 2016-May 2017

Utilized tools such as R, SQL & Excel for cleaning company’s marketing and sales data

Conducted quantitative analysis to derive actionable insights for marketing team.

Performed data visualization and presented findings to senior management in form of intuitive dashboard using Tableau and Spotfire to make informed and quick decisions.

Diagnosed complex data issues and provided recommendations for resolution to ensure optimal work flow.

Assisted in creating and managing social media/digital marketing campaigns using Salesforce

Conducted market research, analysed the collected data using SPSS and presented results of segmentation (cluster analysis), customer behaviour patterns and potential factors (regression analysis). Kamal Transport Mumbai, India

Junior Business Analyst May 2014-September 2014

Interacted with clients to understand their business requirements.

Conducted complex reporting analytics using MS Excel Pivot tables and Vlookup.

Created data queries using SQL and Access for managing company’s database. ACADEMIC PROJECTS:

Data Analysis on Capital Bike Share System Spring 2016

Analysed Capital Bike Share dataset to forecast demand of bikes in Washington DC based on its previous usage.

Performed data pre-processing on raw data that consisted 57,000 instances and 17 attributes by using Weka and SQL queries in MS Access.

Applied Linear regression and Random forest algorithm in R studio to identify important characteristics that affected demands of bike and then implemented Linear, LeastMedSq and SMO regression algorithms in Weka and came up with best regression model.

Performed data visualization using Tableau and gave recommendations to improve demand for bikes. On-demand maid service app Fall 2016

Conducted market research by formulating survey using Qualtrics to gather data for finding whether it is feasible to develop an on-demand maid services app.

Cleaned the gathered data, conducted data analysis using SPSS, performed data visualization using Tableau and documented results and recommendations based on the analysis conducted. Credit Risk Analysis Spring 2016

Cleaned and removed noisy data from dataset containing 30,000 instances and 25 attributes using R.

Build a model for predicting whether customers will default on payments using CART and C4.5 algorithm in Python. SKILLS:

Software Tools: Tableau, Weka, SPSS, R Studio, Spotfire, Google Analytics, SAP System, Salesforce, Qualtrics Database Technologies: SQL Server, MS Access

Programming language: SQL, R programming, java, HTML, Python, SAS Office Tools: MS PowerPoint, MS Excel, MS Word, MS Access, MS Project, MS Visio CERTIFICATION

Stanford SQL Databases-DB5 (June 2017-present)

LEADERSHIP ROLES:

Worked as Event head for Technical Festival-Zephyr (Fall 2014

Served as a member of National Service Scheme, organised and volunteered for many social events (Spring 2012-Fall 2014)

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