Geetha Shetty

Email Id – adbcwk@r.postjobfree.com

Mobile - +91-897*******

CAREER OBJECTIVE

To work in a creative and challenging environment that enables me to gain valuable experience and enhance technical skills that I gained and to establish a successful career in Data Science.

PROFILE SUMMARY

Having good Analytical knowledge on R and SAS.

Proficient in R and SAS and knowledge on Excel.

Knowledge on SQL and C++.

Proactive, highly motivated and take the initiative to meet goals.

STATISTICAL AND MACHINE LEARNING SKILLS

Hands on experience on Linear Regression, Logistic Regression, Decision Tree, Random forest.

(Hands on experience is basically on projects).

Hands on experience in unsupervised learning using K-means clustering and hierarchical clustering.

Time Series analysis using - Hot winters, AR, MA and ARMA.

Data visualization in R using ggplot2.

Feature engineering in R and SAS. Missing value and outlier handling, Transforming variable, Creating new variables, Reshaping data using packages like dplyr and tidyr in R.

Good understanding of ROC, AUC, KS, Accuracy.

TECHNICAL SKILLS

Programming Languages : "R", "SAS", "SQL"

Other Applications : Ms Word and Excel

PERSONAL SKILLS

Good Analytical and Learning Skills.

Excellent communication with the ability to interact with all levels of origination.

Keen analysis and team approach to implement best practices used in organizing and leading related business.

DATA SCIENCE PROJECT

Banking:

A bank in Portugal was rolling out a new term deposits product for its existing customers. They wanted to understand which of their existing customers to call and target for this new product so that ROI would be high. In the past they had connected to their customer base through phone calls for various other products. Results for these previous campaigns had been made available for over 50,000 customers.

Solutions : Used Logistic regression to create a propensity model to predict those customers most likely to respond positively to the new product and the campaign. Model had an accuracy of 80% and Evaluation Criterion is based on KS score which is above 0.47%

Real Estate industry :

A real estate agency wanted to reduce the negotiation time and improve closure for buyers and sellers of homes by ensuring that both sides were advised well on the potential sale/purchase price of the home. To that end the agency wanted to predict a transaction price for all the houses in its market which would be as close as possible to a price where the transaction would take place. Data regarding all possible variables and qualities of over 10,000 houses sold in the past was collected and analyzed.

Solutions : Created a predictive model using linear regression to arrive at a potential transaction price for all future transactions. Evaluation Criterion is based on RMSE score which is above 0.51%

PROFESSIONAL EXPERIENCE

Research Scientist at CHEMIZOL GOLOBAL TCHNOLOGY CENTER [ MAY 2015 TO Till date]

Roles :

Operation of Instruments and analysis of product under test and interpretation of results.

Performing the preventive maintenance periodically of all instruments to minimize the instruments down time.

Preparation of instruments SOP'S and Method of analysis.

ACEDEMIC QULIFICATIONS

COURSE

BOARD / UNIVERSITY

PERCENTAGE

M.Sc. (Biochemistry)

Mangalore University

75.52%

B.Sc. (Chemistry)

Mangalore University

78.45%

CERTIFICATIONS

Edvancers: 'Certified Business Analytics Professional in R and SAS'

PERSONAL PROFILE

Gender : Female

Date of Birth : 06.06.1986

Permanente Add: LF-30/1, APMC block, Nandini layout, Bangalore-560096

Languages : English, Hindi, Kannnada, Tulu,Tamil

Nationality : Indian

I hereby declare that the information given is best to my knowledge and belief.

Place: Bangalore

Contact this candidate