Data Scientist

Summary

Executed sentiment analysis and concept extraction of Cognos COVID-19 dashboard surveys using SPSS Modeler, identified top negative and positive sentiment, improving COVID-19 dashboard user engagement.
Researched, assessed, coded, and applied machine learning algorithms and optimization techniques for the Decision tree, Forecasting, and Key drivers insights, introducing new self-service business-oriented advanced analytics capabilities in Cognos and Watson Analytics
Facilitated as scrum master for 50% of the time, prepared agile stories, managed and oversaw progress of squad, completing project on time with zero defects.
Designed and created Market Basket Analysis application for auto insurance claims using Cognos Jupyter notebook in Python uncovering relationships between items, selected as best Jupyter notebook solution in IBM Analytics sprint-a-thon.
Created and maintained a data repository, engaging the stakeholders in product development
Directed Quality team of Watson Analytics and worked as a deployment captain, handling build deliveries in IBM Cloud.
Executed detailed defects analysis to identify potential risk areas and factors associated with time needed to fix defects, reducing time to deliver customer defects to address customer dissatisfaction.
Advised linguistic and statistical accuracy testing efforts, delivering high-quality software.
Applied Combinatorial Test Design to optimize the number of test cases, reducing testing effort.
Responded to customer queries as subject matter expert (SME), improving the companys NPS score.

Expectations

I am looking for something which will solve customers complex business challenges using data-based Insights and which will drive growth. I am also looking for a new company that supports excellence, innovation, teamwork, sharing, and delivering high-quality customer experience.

Employment Preferences
Expected Base Salary

**0,000 USD

Expected Hourly Rate

** USD

Academic Degree
Experience

Total Professional Experience

19 years

Startup Experience

no experience

Big-Tech Companies

19 years

Enterprise Experience

19 years
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