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2.08k
Exp
an incremental $ amount protected from fraud.
Exp
Pricing Model
Exp
 Using statistical method (K-Means) and business rules, classified the customer to calculate the
Exp
price sensitivity in different groups.
Exp
 Used price Optimization technique in each group to identify the gaps where bank can increase
Exp
or decrease the price for mortgage to maximize the profitability and minimize the attrition.
Exp
Research & Development
Exp
 Anomaly detection: DBSCAN, LOF, Kernel density and, KNN based Outlier detection.
Exp
 Feature Engineering: Construction, Extraction & Selection of Feature, Feature Importance.
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 Price elasticity estimation: Instrumental Variable regression or Two stage least square
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estimation.
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 KNN: KNN based recommendation engine for banking product.
PI
PI
Page 2 of 2
Skill
TECHNICAL
Skill
SKILLS
Skill
PROFESSIONAL
Skill
TRAINING
QC
CERTIFICATIONS
Sum
AWARDS
Exp
&
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FELLOWSHIPS
Edu
EDUCATION
Exp
PUBLICATION
PI
PERSONAL
PI
INFORMATION
Sum
 Winner of Machine Learning Hackathon, 2018, Zafin,Bangalore.
QC
 Qualified National Eligibility Test (NET) in Agricultural Statistics and Informatics, 2015
Exp
 Ranked Fifth in All India based Junior Research Fellowship (JRF) examination, 2011,
Exp
in the subject group Statistical Science, Indian Council of Agricultural Research.
Exp
 SAS & Business Analytics (May-Aug, 2015), AnalytixLabs, Gurugram,Haryana-122001
Exp
οƒΌ Worked on different data mining projects using Base SAS and Proc SQL
Exp
οƒΌ Built number of multivariate models pertaining to marketing analytics in BFSI and Telecom
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domain for response modeling, churn prediction management and customer segmentation.
Exp
 PGDCA, National Trust of Education and Management, Bhubaneswar, Odisha.
Exp
οƒΌ As a part of course, I learned MS-OFFICE, SQL, introductory knowledge of C, DBMS.
Exp
 Bardhan Soumya Ranjan, Rao A. R., Meher Pravin Kumar, Marwaha Sudeep and Wahi
Exp
Sant Dass (2014). Identification of a suitable clustering method and allocation strategy for
Exp
core set development in salt stress tolerant rice germplasm. Indian Journal of
Exp
Agricultural Sciences.
Edu
 Masters of Science, Agricultural Statistics (Aug, 2011 - Feb, 2014)
Exp
Indian Agricultural Statistics Research Institute (IASRI), New Delhi, India
Edu
Major: Agricultural Statistics, Minor: Computer Application
Edu
 Bachelor of Science, Agriculture (Aug, 2007 – July, 2011)
Edu
Orissa University of Agriculture and Technology (OUAT), Bhubaneswar, India.
Exp
Statistical Acquaintances
Exp
 Regression Analysis: OLS, Ridge regression, Logistic regression, LASSO, Elastic Net etc.
Exp
 Multivariate Analysis: MANOVA, PCA, Factor Analysis, Cluster Analysis, LDA, etc.
Exp
 Statistical Inference: Hypothesis testing (parametric and non-parametric)
Exp
 Design of Experiments: ANOVA, ANCOVA, CRD, RCBD, LSD, BIBD etc.
Exp
 Sampling Techniques: SRSWR/WOR, PPSWR/WOR, Stratified, Cluster sampling etc.
Exp
Machine Learning: Decision tree, Random forest, Gradient Boosting, LightGBM, XGBoost, K-means
Exp
segmentation, KNN, etc.
Exp
Deep Learning: Knowledge of Deep Learning techniques like ANN, RBM, Autoencoder etc. as well as
Exp
deep learning python libraries like Tensorflow and Keras.
Skill
Software Skill
Skill
 Statistical Packages: R, SAS, SPSS
Skill
 Other Languages: Python, SQL
Skill
 Document preparation: MS-Office
PI
 Date of Birth : 16th
PI
May, 1990
PI
 Gender : Male
PI
 Marital Status : Married
PI
 Citizenship : Indian
PI
 Passport No. : R3966226
PI
 Present Address : #32, Prasiddhi, 4th Cross, A- Block, Vinayaknagar,Bangalore-560017
PI
 Permanent Address : AT-Gopalpur, PO-Patapur, Banki, Cuttack, Odisha-754008
PI
 Notice Period : 1 Month
PI
 Willing to Relocate : Yes