Snehal PGBABI (Business Vora Analyst & Business Intelligence) MS (Biotechnology and Endocrinology)

EXPERIENCE 2 hrs with IBM - Client USAID

EDUCATION

PROJECTS procurement and supply chain management

DATA ANALYTICS SKILLS

CONTACT

PERSONAL STRENGTHS

TOOLS

• Machine Learning

• Predictive Modelling

• Regression Analysis

• Time Series Forecasting

• Web Scraping and Sentiment

Analysis

• Ensemble Techniques

• Model Deployment (R shiny)

• Neural Networking

• R, Python

• SAS, KNIME

• SQL

• Tableau

• Google Analytics

• Advanced Excel.

• Logical Thinking

• Problem Solver

• Executing in a Fast-Paced

Environment

• Self starter

• Team player and Fast learner

• Motivated

• ad2xxc@r.postjobfree.com

• 315-***-****

• Chicago, IL

• linkedin.com/in/snehalvora

IBM - 2 years

Client USAID

Procurement and supply chain management

Data Scientist

Entrepreneur -Learning Ladderz (Mumbai, India) Sept 2014 – Sept 2019

• Owned and managed children's circulating toy and books library

• Complete set-up of fully operational circulating library where kids could exchange toys and books for a monthly fee-based model.

• Analyzed data of subscribed clients including patterns of toys & books chosen to develop marketing strategies and promotions on social media platforms. Intern - Haffkine Institute (Mumbai, India ) June 2003 – July 2003 On-job training under the Annual Biotechnology Program conducted by the Department of Clinical Pathology, Virology and Zoonoses.

Intern -Microbiology and Pathology Lab (Mumbai, India) April 2002 – May 2002 Highly enthusiastic with strong aptitude for analysis of complex data to build successful business models. Passionate and team oriented problem solver with degree in Business Analytics and Business Intelligence. Hands on experience with data from Healthcare, Sales, Inventory & Marketing, Retail, Finance & Insurance industry. Seeking for the position of a Data Scientist, offering statistical modeling techniques, advanced computer skills, expertise in biotechnology and analyzing large complex and multi-dimensional data set using a variety of tools. PGBABI (Post Graduate in Business Analytics and Business Intelligence) 2019 - 2020 University of Texas at Austin,Red Mc

MS (Master of Science in Biotechnology and Endocrinology) 2004 – 2006 University of Mumbai, India

BS (Bachelor of Science in Biotechnology and Zoology) 2001 - 2004 University of Mumbai, India

Model creation and Recommending ways to increase Life Expectancy July 2020 Health-care data sourced from U.N. and W.H.O. websites. Predictive analysis, Time series Analysis, Regression analysis was performed to build machine learning models to predict Life Expectancy of 193 countries with accuracy of 94%. Visualization of trends in life expectancy across years and across countries done in Tableau. Found the top 5 variables that influence life expectancy with a quantifiable score.

Recommending ways to increase revenue of a Coffee Chain May 2020 Marketing data analysis of Point of Sale (POS) Data for a coffee chain restaurant. Used Techniques like Market Basket Analysis, Churn Rate Prediction, RFM Analysis. Build visualizations achieve revenue growth by recommending taking off certain items from the menu and suggesting popular combo meals for customers.

Creation of Credit Risk Default Model for Bank and model deployment (R-shiny)April 2020 Developed a credit risk default model using data from financial bank. Using Logistic Regression, Univariate & Bivariate Analysis, Model Performance Measures, Build a forecasting model to predict monthly gas production March 2020

• Objective: Analyzing and Predicting Australian gas production.

• Tools: R, Tableau and Excel

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