About Me
Over 7+ years of working experience in Statistics, Artificial Intelligence, Machine Learning,Predictive Modelling,Data Mining,Data Analytics, NLP,Data Visualization and Big Data environments.• Strong analytical and programming skills especially ...
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Database
Data & Analytics
Programming Language
Others
Operating System
Development Tools
Software Engineering
Web Development
Software Testing
Networking & Security
Mobile Apps
Positions
Portfolio Projects
Company
VIVA - Voice Fraud Detection (Signal Processing & Deep Learning)
Role
Data Scientist
Description
Ø Intend of the project to develop a paradigm using conceptualization of Signal Processing
and Advance Machine Learning Algorithms to identify Fraudulent and Genuine Calls from
alerted audio calls of HSBC Contact Centre.
Ø Implemented signal processing and Channel Diarization concepts to segregate the
customer conversations from mixed raw signal. Developed scripts to derive features from
audio signal by reminiscing behaviors of fraudsters and genuine customers from audio and
implemented into Machine Learning models to predict Voice labels.
Ø Plan to replicate Fraud Ops Manual caller verification process by integrating the developed
paradigm which would impact the reduction of Fraud losses approx. 1.1M GBP monthly
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Python Machine Learning Algorithms Deep Learning Artificial Intelligence Digital Signal ProcessingTools
spyderCompany
TIARA (Chatbot Framework)
Role
Data Scientist
Description
Ø An automated business assistive system enables customers to know their application status
(Approved/Cancelled/Declined), amount of time left to complete the verification process
of application, amount of time it will take to final approval of application.
Ø Assists Operation AMOs/MOs, stake holders, etc. to know monthly Application volumes,
KPIs, Application Status, Application Cancellation Reason, etc.
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Artificial Intelligence OpenNLP PythonTools
spyderCompany
Staff Demand Prediction
Role
Data Scientist
Description
Ø Understanding the verification process of Cards, Loans, Mortgages, and Other products for
multiple markets. Identifying TTD and Referred volumes based on Captured date,
Decisioned date and other parameters.
Ø Forecasting TTD AOP volume and Referred AOP volume using multiple forecasting
methods.
Ø Calculating Staff Productivity, RPH, etc.
Ø Predicting Staff Demand using Machine Learning models for multiple markets
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spyder Sas e-miner