Data Analyst

GOWRI DATH

469-***-**** *****.******@*****.*** Linkedin Github Portfolio Tableau Public

SUMMARY

• MS in Business Analytics from the University of Texas at Dallas – Class of 2020

• Close to 4 years of professional experience in collecting, analyzing, and interpreting large datasets

• Expertise in statistical data modeling and analysis, SQL, Tableau, R and Python. TECHNICAL SKILLS

Programming Languages : R, Python, SQL, JavaScript, HTML,SAS Tools : AWS(S3,EC2,VPC,RDS,Redshift,Athena),SSRS, Tableau, Power BI, Google Analytics, Jira, MS Excel Database Skills : Oracle, MySQL, Microsoft SQL, Hadoop, NoSQL, ETL, Data warehousing Analytical Skills : Data manipulation using R/Python/SAS, Data Mining, Report Generation, A/B testing Modeling Techniques : Regression, Classification, Clustering, Predictive modeling using SAS Certifications : AWS Certified Solutions Architect Associate, Certified Tableau Desktop Specialist Oracle Certified Professional Java SE 6 Programmer, Google Analytics PROFESSIONAL EXPERIENCE

Transamerica Life Insurance Company, Denver, Colorado June 2019 – August 2019 Technology Intern – Analytics

• Performed data blending and joining in Tableau from disparate sources to effectively visualize data using maps and charts.

• Designed interactive dashboards utilizing parameters, level of detail calculations to identify risk and reduce risks by 10%.

• Performed data profiling between the legacy and cutting-edge applications that helped identify data discrepancies.

• Converted JSON to PostgreSQL queries from the Swagger UI which optimized the database and improved API response time

• Transformed data into reports, charts and presentation that provided key findings, recommendations to the senior management Pegasystems Inc, Bangalore, India July 2015-June 2018 Data Analytics Engineer

• Implemented predictive modelling in decision strategy application that successfully analyzed customer sentiments.

• Assisted and provided CRM solutions in 20+ projects entailing predictive analytics with customers across the globe.

• Formulated the requirements within an agile team utilizing tools like Confluence and JIRA.

• Proposed 100+ solutions to clients on strategic analytical frameworks which expedited client’s application development cycle.

• Collaborated with SME’s to analyze data for customer service applications which shortened the product release time .

• Implemented adaptive analytics using ADM service which detected real time changes and improved customer acceptance rate.

• Performed data mapping from external databases by running complex SQL queries like Stored procedures and joins.

• Configured Business Intelligence Extract (BIX) rules to extract and transform data into CSV, XML and database schema output formats. EDUCATION

The University of Texas at Dallas, M.S. - Business Analytics, GPA : 3.607 Aug 2018 - May 2020 Visvesvaraya Technological University, B.S. – Information Science and Engineering, GPA : 3.75 September 2011 - June 2015 PROJECTS

Airbnb Host Analysis and Price Prediction Python, Tableau

• Performed data cleaning, EDA, imputation and feature scaling to analyze data over 10K rental listings based on 96 variables.

• Predicted the price of listings by fitting regression models such as Linear, Ridge, Lasso and ensemble methods and obtained median absolute error (MAE) of 0.2689.

Predictive Analysis of Folgers Coffee Product width SAS, R, Tableau

• Conducted statistical analysis to study how demographics and store-promotions affect brand choice

• Implemented RFM customer segmentation analysis to identify the most profitable buyers and provided recommendations on the type of customers to target.

• Performed timeseries analysis (ARIMA model) to forecast sales and predict the future sales by analyzing the past records. Analysis of E-commerce Online Retail dataset to perform Market Basket and Item-based Collaborative Filtering R

• Performed Market Basket Analysis on the ecommerce dataset by generating association rules using Apriori function.

• Executed Item based Collaborative Filtering with recommender algorithm to compute the Top 5 recommendations to a customer. Data Visualization projects I Tableau

• Analyzed data and designed a dashboard by thoroughly investigating the data of 42 countries to highlight the top 5 contributing factors towards Nike’s success.

• Designed interactive dashboards by analyzing the nature of consumer complaints for companies which provided a data-driven, enterprise-wide view of their internal complaint data.

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