GOWRI DATH
Aspiring Analytics Engineer
-
- NAME
- GOWRI DATH
-
- MOBILE
- +1 (469)380-5016
-
- gowri.dath93@gmail.com
-
- WEBSITE
- Gowri Dath
Analytical Thinker and problem solver with an ability to translate data into valuable insights. 3 years of industry exposure in data and analytics has prepared me to excel in any role. I have developed deep proficiency in data exploration, modelling and visualization techniques through which I can understand data and solve critical business problems.
● Performed data blending and joining in Tableau from disparate sources to effectively visualize data using maps and charts
● Designed interactive dashboards utilizing features such as sets, parameters, level of detail calculations in tableau that helped the compliance team to identify risk and reduce risks
● Performed data profiling between the legacy and cutting-edge applications that helped identify data discrepancies
● Converted JSON to PostgreSQL queries by analyzing the JSON output from the Swagger UI which optimized the database and improved the API response time
● Developed the skills required to function within an agile team by formulating the requirements and the acceptance criteria for a functionality through tools like Confluence and JIRA
● Transformed data into reports, charts and presentation that provided key findings and recommendations to the senior management
● Proposed 100+ solutions to clients over the period of 1 year using Pega’s analytical framework
● Implemented and utilized predictive modelling in Pega Decision Strategy Management (DSM) application that successfully analyzed customer sentiments
● Assisted and provided CRM solutions in 20+ projects entailing predictive analytics with customers across the globe
● Implemented the Next Best Action advisor application utilizing pega’s built in natural language processing features
● Programming languages: Python, R, SQL
● SQL and NoSQL databases: MySQL, MSSQL, MongoDB, Oracle
● Big Data systems: Hadoop, Spark, Hive, Sqoop, NoSQL
● Scraping: Web, API's and Social Media Data Mining Techniques
● Cloud services: AWS
● Business Intelligence tools: Tableau, Power BI, Alteryx
● Statistics and Prediction Models for Data Analytics using SAS
● Business Analytics: Goals, Insights, Metrics, KPIs, Accuracy
● Web Analytics: Google Analytics and Adobe Analytics
Project Using scikit-learn, we modeled on Airbnb dataset to estimate prices of Airbnb listings for the guests depending on various features like neighborhood, zipcodes, apartment type etc.
Read MoreThis is a challenge to predict the search relevance of search results on homedepot.com
Read MoreAnalyzed large panel database and performed competitor analysis to help Folgers increase their sales
Read MoreRecommended products to customers based on their past likings and opinions of other like-minded users and determine the products and market of focus.
Read MoreCheck out my tableau public profile
Tableau Public
Used natural language processing (NLTK) to derive the word stems on the product title, description and search terms. created features based on cosine distance, shared words, Edit distances, Search query length of the product title and description
GO TO REPO
