aadrish sharma
Consultant at Mastercard
consultant mastercard advisor
Mastercard
https://in.linkedin.com/company/mastercard
Gurugram, Haryana, India
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Consultant
Axis Bank
https://in.linkedin.com/company/axis-bank
Currently leading a team of three, revamped the fee structure of current
account with minimum effect on total revenue generation as per revised RBI
guidelines
Mumbai, Maharashtra, India
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Senior Manager - Corporate and Fraud Analyst
Axis Bank
https://in.linkedin.com/company/axis-bank
• Built UPI Fraud Monitoring scenarios for UPI using decision trees and Natural
Language Processing that resulted in an yearly saving of $9.7 million and
increased the fraud capture rate 375%.
• Created Real Time Transaction declining scenarios for UPI & Cards which
dropped FSR below industry standard and built an In-house real time alert
generation model on Scala in Big Data Lake using SCALA for UPI Monitoring &
Transit Cards.
• Collaborated with 4 teams to build a Dynamic Tableau Dashboard which
ensures daily tracking of scenarios, analyst productivity for Cards & UPI and helps to analyze a
change in Fraud & Spends Trend for different Merchants.
• Created ANN model on Python for detecting Mule Accounts which is in the
process of implementation.
Mumbai Area, India
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Manager- BIU Fraud & AML Risk Analyst
Axis Bank
https://in.linkedin.com/company/axis-bank
Anti-Money Laundering Alert Prioritization Model
-Created an Alert Prioritization model for Anti Money Laundering alerts in python using Deep Learning (6 layer Neural Network Model). Model prioritizes around 5,000 alerts which are generated on a daily basis. The Alerts are categorized into 5 categories based on their severity.
-The data was extracted using SQL. The pre-processing and variable creation was carried out in SAS. The final model was then trained in python using keras, tensorflow and sci-kit libraries.
-Collaborated with 4 teams to determine the type of variables and created 777 variables in the variable universe using rolling 6 months period. Finally, 57 variables were selected for modelling on the basis of Information Values and RFE.
-Two separate models were created for Savings account and Current account customers. Achieved an accuracy of 99.97% for
Savings account model and 98.96% accuracy for Current account model.
Achieved a lift of 9.0, KS of 0.923 and Gini of 0.96 for SA Model. Achieved a lift of 8.9, KS of 0.984, Gini of 0.934 for CA Model.

Staff Monitoring Scenarios Extraction using Natural Language Processing
-Extracted scenarios from 2615 cases for staff monitoring.
-Text pre-processing was done, using nltk library in python.
-Made Term Frequency Inverse Document Frequency Matrix for each feature and Principle Component Analysis was done by
using Singular Variable Decomposition for reducing the no. of features extracted.
-Based on features scenarios, headings was extracted and used K Means Algorithm for clustering 2615 cases into 28 scenarios.
Mumbai Area, India
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Summer Intern
Bachelor's degree
Materials Science
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Indian Institute of Technology, Kanpur
https://in.linkedin.com/school/indian-institute-of-technology-kanpur/
https://www.linkedin.com/in/ameya-marathe
San Francisco Bay Area
Ameya Marathe
Consultant at Keystone Strategy | IIMK | ex-GS
https://in.linkedin.com/in/pulkit-durgvanshi
Gurugram
Pulkit Durgvanshi
Analytics Consulting | Mastercard Advisors | Ex-ZSer
https://in.linkedin.com/in/jajen-shah-26678352
India
Jajen Shah
Engagement Manager, Life Science at Tata Consultancy Services
https://in.linkedin.com/in/nikhil-garg-b7b93510b
Mumbai
Nikhil Garg
MD's Office, Abbott India Ltd. | Kearney | IIT Delhi
https://in.linkedin.com/in/gunjangupta24
Gurugram
Gunjan Gupta
Senior Product Manager at MoooFarm I IIT Delhi
https://in.linkedin.com/in/richa-shruti-5b6a34146
Bengaluru
Richa Shruti
Assistant Manager-HR
https://in.linkedin.com/in/sumitjain34
Gurugram
Sumit Jain
Building SaaS for Dairytech | Featured in Forbes & CNBC | TEDx Speaker
https://in.linkedin.com/in/sushant-nikam-694520216
Mumbai
Sushant Nikam
URBAN CONSTRUCTION
https://in.linkedin.com/in/rupesh-kashyap-94a724113
Delhi, India
Rupesh Kashyap
Software Engineer at Samsung Electronics
https://in.linkedin.com/in/nikhil-chole-4b2117139
Mumbai
Nikhil Chole
Data Engineer @ Axis bank | IIT Kanpur
https://in.linkedin.com/in/nidhi-saxena-0965a25
Mumbai
Nidhi Saxena
Vertical Head Partnership Analytics HDFC Bank | IIT Madras | Fraud, Collections, AML, HR analytics
https://in.linkedin.com/in/sreehitha-g-99130a1b4
Hyderabad
Sreehitha G
PUMA Group PPO | IIM Ahmedabad '22 | Osmania University '16
https://in.linkedin.com/in/himanshu-khandelwal-66378b103
Jaipur
Himanshu Khandelwal
Associate Process Solution at Publicis Sapient
https://in.linkedin.com/in/roshinee-pandiarajan
Chennai
Roshinee Pandiarajan
Unlocking the power of Virtual Events
https://in.linkedin.com/in/neetika-luthra-944716b2
Noida
Neetika Luthra
Talent Acquisition & Management
https://in.linkedin.com/in/rishabhshah228
Ahmedabad
Rishabh Shah
Manager at Axis Bank
https://in.linkedin.com/in/disha-chourasia-b0b4b7102
Mumbai
Disha Chourasia
HR Business Partner | Titan
https://ca.linkedin.com/in/manpreetkaur4
York, ON
MANPREET KAUR
Manager at Axis Bank
https://in.linkedin.com/in/abhishek-kumar-talla-7a884213a
Srikakulam
Abhishek kumar Talla
Senior Manager at Kotak Mahindra Bank (Advanced Analytics)
https://in.linkedin.com/in/anmol-adarsh-838359102
Jaipur
Anmol Adarsh
Manager at YES BANK
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