Rakesh Pardeshi Email & Phone Number

Pune, Maharashtra, India

India

• Consultant for data driven solution for Performance marketing.
• Financial analysis of technical indicators for stocks. Solution building using natural language processing.
• Training professionals in artificial intelligence and machine learning

Noida, Uttar Pradesh, India

• Performed validation of AML models including scenario based qualitative models and quantitative models (Machine learning models)
• Created validation procedure and playbooks to validate scenario-based thresholds for tunable parameters to ensure efficiency of alerting rules
• Conducted validation of the correspondent banking AML scenario/models, Retail banking scenarios and money mule models
• Performed AML scenario validation based on above the line (ATL) & Below-The-Line (BTL) testingTool: SAS, Python

Viña Del Mar, Valparaíso, Chile

Pune, Maharashtra, India

• Developed AML scenario using above the Line (ATL) and below the line (BTL) tuning methods for retail portfolios.
• Performed QC process to verify the threshold bands are generating alerts accurately
• Create Machine learning capabilities for proof-of-concept projects, prepare playbooks covering exploratory analysis, modeling and performance metrics for compliance risk modeling.
• Train internal resources (new joiners and laterals) on machine learning algorithms.Tool: R Studio, ddply, ggplot, Caret, SAS, Python

Pune Area, India

• Developed AML scenario to identify and detect money laundering happening through checks and monetary instrument, Generation of features indicative of money laundering activities, Performed testing and validation of.
• Ad-hoc analysis for Identification and prevention of money laundering activities
• Model development using machine learning algorithm (decision tree and random forest) to detect money laundering activities
• Development of the MDD in line with regulatory guidelines suggested by financial regulators (Fed).
• Reduction of false positive for AML scenario effectiveness and optimizing these scenarios for higher coverage
• Conducting the above the line (ATL) & below the line (BTL) tuning anlysis.

Pune Area, India

Developed AML scenarios using machine learning algorithms by combining the ATL population and BTL samples. Validated performance of AML models capturing different types of money laundering activities. Actively involved in tuning of threshold parameters as per existing trends observed.Worked on sample size determination and testing the sufficiency of.

Bangalore

Calibration of banks stress models (CCAR & DFAST). Applied macro-economic shocks in order to check effect on prepayment rate, charge-off rate and pay-off-pay-down (POPD) rate.

Pune Area, India

Developed models which captures systematic patterns present in the account level transaction data for deposit customers of the bank.Re-calibration of the statistical models for consumer banking deposits product. These models helped to reveal the complex structures in the data like purchasing behavior of the retail banking customer and understand the.

Panaji

I was a part of Analytics team here. Responsibilities are Data processing and Data modeling.Statistical techniques used in modeling are Hedonic regression, Robust regression, Mahalanobis distance.