Data Analytics,Statistical Modeling,Machine Learning,SAS, Adv Excel

Shriraksha Pai K

Data Scientist

A post graduate with majored in biostatistics. Solution driven data scientist with proven record of delivering value and enormous experience. Successful in pursuing new challenges, which involved new problems, data sources, needed different set of approaches in building innovative solutions.

SUMMARY :

•Data Scientist at GE Digital with 4 years 2 months of professional experience in Machine Learning, Data Analysis, Statistical Modelling Techniques, and state of the art market research techniques.

•Excellent understanding and application knowledge of Supervised & Unsupervised techniques, NLP, Market Basket Analysis and Product Pricing Research.

•Exceptional problem-solving skills with aptitude for number crunching and data interpretation.

•Working experience and skilled in leveraging following applications, Python (various pacakges), SAS (SAS EM), SQL, Sawtooth, Clicktool, MS Excel (Advanced), Word, PowerPoint and exposure to SPSS, SPSS Modeler, Tibco Spotfire, Tableau.

EDUCATIONAL QUALIFICATION & CERTIFICATIONS :

M.Sc. (Biostatistics) from Manipal University, Manipal with CGPA 6.62/10 (2011-2014).

B.Sc. (Statistics, Mathematics) from PoornaPrajna College, Mangalore University with GPA

7.43/10 (2008-2011).

“Data Analytics: Big Data-Hadoop Ecosystem” at Karnataka Veterinary Animal & Fisheries Sciences University, Bangalore, 18 - 22 February 2015.

Machine Learning – Stanford University. (coursera)

SEMINAR / WORKSHOPS :

•Focus on preventive cardiology organized by Department of Cardiology, KMC Manipal (November 1, 2011).

•International Workshop and Conference on Combinatorial Matrix & Generalized Inverse of Matrices organized by Department of Statistics, Manipal (January 2, 2012).

•National Workshop on Statistical Analysis Using “R” organized by Department of Statistics, Manipal University and Department of Community Medicine, KMC, Manipal (May 26 & 27, 2012).

•International Symposium on “Evidence Based Public Health Interventions in Low and Middle-Income Countries” and Workshop on “Systematic Reviews of Public Health Interventions” organized by Department of Statistics, Manipal University (November 7 & 8, 2012).

PROFESSIONAL SYNOPSIS :

Data Scientist Oct 13 – Dec 17

INVESTORS RELATIONSHIP (Regression Analysis, Python, SAS, Tibco Spotfire, PowerPoint)

•Predict the likelihood of investors buying/selling GE shares over the next 6 months/12 months & understand the factors driving the buying behavior.

•Helping team in targeting investors who are most likely to buy GE shares, identify investors most likely to sell GE shares in advance, spending the marketing budget/time more effectively with the highest return.

MONEY LAUNDERING RISK ASSESSMENT (Logistic Regression Analysis - Binary & multivariate, Clustering, SAS, Python, Advanced Excel, Tibco Spotfire)

•Analytics support on identifying, measuring, monitoring and controlling “Money laundering” and “Financial Crimes Risk” for the Financial Crimes Compliances Team.

•Business level residual risk is key outcome from MLRA analysis, helping leadership team identify risk level for each GE Capital businesses and further investigation to under key drivers for risk levels to control.

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PRODUCT CONNECTION – CUSTOMER PROFILE (Market-Basket Analysis, Python, SQL, SAS, EG, Tibco Spotfire, PowerPoint)

•To identify the Product Connections within and across Energy management & Power & Water Businesses.

•Market Basket Analysis - Mathematical modeling technique to identify which items are purchased together and, more importantly, how the purchase of one item affects the likelihood of another item being purchased.

COMPETITIVE POSITIONING RESEARCH – LCOM (Regression Analysis, Correspondence Analysis, SAS, EG, VBA, Tibco Spotfire, PowerPoint)

•To understand the competitive positioning of L-com’s Product & Sales Process, Supplier Dimensions, Channel Dimensions, Connectivity Solutions, Provider Perceptions.

•Perceptual Mapping & Correspondence Analysis to understand the metrics.

•Customized dashboard in Excel and Tibco Spotfire.

PRICING RESEARCH (Van Westerndorp’s Price Sensitivity Meter, Gabor Granger Method, SAS, EG, VBA, Advanced Excel, PowerPoint)

To identify the pricing range that is acceptable to the majority of the respondents using Van Westerndorp’s Price Sensitivity Meter.

Optimum price point for Tennant Products (Sweeper, Scrubber) in EMEA region.

ACADEMIC ACTIVITY :

•Exposure to statistical consultancy for Senior Doctors, Faculties, Ph.D. Scholars and Biomedical researchers of Health Science Institutions.

•Engaged in teaching, research and other academic activities (Journal & seminar presentations) in the department.

•Contributed as a resource person in SAS workshop conducted in the Department to the students & faculties of Health Science Institutions, Manipal (October 1 – 26, 2012).

REWARDS & RECOGNITIONS :

•Silver award – “Expertise” from the stakeholders for the operational excellence, delivering fleet analysis results with new approach (December 8, 2014).

•Bronze award – “Clear Thinker” from the Project Manager for the hard work, attitude, level of involvement & patience, suggesting & anticipating changes within the limited time for the projects BrandTracking & MLRA 2014 (December 11, 2014).

•Bronze award – “Customers Determine Our Success” from the FCC team for being a key member to a cornerstone compliance process which helped company to understand its exposure to financial crime and for customer focused attitude (August 17, 2015).

•Bronze award – “Empower and Inspire Each Other” from the stakeholder for displaying functional mastery in BI toolsets, extra effort to meet tight deadline and educating Tibco Spotfire (September 10, 2015).

Bangalore-560043, Karnataka, India Ph. No- +91-994*******

Email id: *************@*****.*** LinkedIn: in.linkedin.com/in/rakshapai

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