ganchengguang/resume_seven_class · Datasets at Hugging Face

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Exp ranked predicted cases and also detecting fraud 3.28x times more than random chances, hence
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.
Exp  Price elasticity estimation: Instrumental Variable regression or Two stage least square
Exp estimation.
Exp  KNN: KNN based recommendation engine for banking product.
PI mailto:bardhan143@gmail.com
PI Page 2 of 2
Skill TECHNICAL
Skill SKILLS
Skill PROFESSIONAL
Skill TRAINING
QC CERTIFICATIONS
Sum AWARDS
Exp &
Exp 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  Worked on different data mining projects using Base SAS and Proc SQL
Exp  Built number of multivariate models pertaining to marketing analytics in BFSI and Telecom
Exp domain for response modeling, churn prediction management and customer segmentation.
Exp  PGDCA, National Trust of Education and Management, Bhubaneswar, Odisha.
Exp  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

Exp ranked predicted cases and also detecting fraud 3.28x times more than random chances, hence

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.

Exp  Price elasticity estimation: Instrumental Variable regression or Two stage least square

Exp estimation.

Exp  KNN: KNN based recommendation engine for banking product.

PI mailto:bardhan143@gmail.com

PI Page 2 of 2

Skill TECHNICAL

Skill SKILLS

Skill PROFESSIONAL

Skill TRAINING

QC CERTIFICATIONS

Sum AWARDS

Exp &

Exp 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  Worked on different data mining projects using Base SAS and Proc SQL

Exp  Built number of multivariate models pertaining to marketing analytics in BFSI and Telecom

Exp domain for response modeling, churn prediction management and customer segmentation.

Exp  PGDCA, National Trust of Education and Management, Bhubaneswar, Odisha.

Exp  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