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chennai, india
It's currently 8:42 AM here
Joined August 14, 2019
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Kavitha M.
@kavimano92
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chennai, india
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Data Science Professional
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Experience
Data Scientist
Oct 2017 - Present
Performing exploratory data analysis to understand the data structure and its relation between attributes by using correlation techniques.
Built customer segmentation for replacing the judgment-based targeting and drive a more stable process for Sales growth offers using Clustering.
Implemented Decision Trees to get meaningful business rules on each cluster.
Built propensity models on various business opportunities & threats.
Business Analyst
Dec 2015 - Sep 2017 (1 year, 9 months)
• Predictive & Descriptive modeling using techniques like Decision trees, K-means clustering, Linear regression, Logistic regression, etc using SAS Base, SAS Enterprise Guide, SAS E-miner.
• Statistical analysis & business presentations for variety of problem statements like Penetration, Churn, Displacement, Up-sell, Cross-sell, etc.
Industrial Engineer - Optimization
Jul 2013 - Dec 2015 (2 years, 5 months)
• Descriptive statistics of Time study results & Confidence Interval determination
• Time Study analysis (MOST), Line Balancing, Manpower & Resource Optimization
• New product development – manufacturing, takt calculation and production line setup
• Ergonomic analysis using tools like MUDA, MURI, MURI Mapping
• Internal logistics planning, ABC analysis
Education
B.E Industrial Engineering
(4 years)
Qualifications
The Data Scientist's Toolbox
Coursera
2015
The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
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