Mohammed Topiwalla
London
Summary
With years of experience in fraud prevention, I have developed a deep understanding and extensive knowledge of utilizing machine learning techniques to help businesses combat crime and minimize losses. My expertise lies in creating solutions that prioritize customer privacy and comply with regulatory requirements. By leveraging my skills, I can effectively curb fraudulent activities while maintaining a positive customer experience. I am dedicated to building compliant solutions that uphold business integrity and protect against potential threats.
Overview
9
9
years of professional experience
Work History
Lead Data Scientist - Fraud Prevention
Wise
01.2024 - Current
- Created and maintain a comprehensive strategy for leveraging AI and data science to reduce risk across Fraud, ATO, Scam prevention group
- Identify opportunities and ensure data science solutions are created to drive maximum impact to goals of business
- Helped in creation of a team of data scientists that work on introducing LLM to our operational flows to automate and free up 10% of their capacity
- Identified opportunity to prevent millions of £ in SMS pumping and help launch first production model and establish team
- Leading data scientists to create risk prevention intelligence over new product offerings allowing business to grow with balanced mitigation of risk
- Worked on helping team to reduce false positives by launching anti fraud model
Senior Data Scientist - Fraud Prevention
Wise
07.2021 - 01.2024
- Developed a card fraud model to replace static rules that increased true positives by 10% allowing us to find hidden fraud
- Analyzed the effect of fraud waves and created features for models that increased the capacity to capture fraud by 25%
- This impacted in stopping loss to the company
- Actively participated in multiple audits by regulators to explain Fraud Engine, machine learning flows and using Shapley values on why the model made a decision
- Lead 4 data scientists while solving problems across financial crime prevention verticals
- Introduced FLAML (automated machine learning tool) which helped our models catch 10% more fraud
Senior Analyst - Fraud Prevention
Wise
07.2019 - 07.2021
- Assisted in saving fraud loss monthly by working on creation of different static rules
- Built an analytics pipeline and opened data to everyone in the team
- Helped level up operations & product to use BI tool (Looker) to access data, build dashboards
- Built multiple rule performance, model performance and anomaly detection dashboards with alerting features
- Granulated fraud cost ensuring that the loss was attributed to the finance and loss bearing team correctly
- This helped us focus cost on risky routes and reduce cost for good actors
- Helped define new KPI’s for products and build dashboards to monitor and share across teams
- Led and grew 3 Analysts across teams
Data Science Consultant
Eigenlytics
02.2019 - 06.2019
- Developed simple white box ML algorithms for car insurance providers with a UI that helped explain the model decision
Data Science Intern
Kantar Consulting
09.2018 - 12.2018
- Built price elasticity demand models for FMCG customers recommending ideal prices that could be increased or decreased for products
- Introduced parallel execution in R for the Data Science team
Data Analyst
Servify
03.2017 - 11.2017
- Built models to detect intentional damage to mobile devices using phone sensor data for insurance products
- Built ETL pipelines for analytical systems further used for reporting and BI
- Helped product define new KPI’s for success and build monitoring systems
- Mentored a team of 3 Analysts
Software Engineer
Tech Mahindra
09.2015 - 01.2017
- Managed DevOps for billing system responsible for direct debits from customer accounts and improving code in SQL
- Built DevOps reports using R, SQL and Excel
Education
Masters - Data Science
Università Di Bologna
01.2019
Post Graduate Diploma - Big data and Analytics
SP Jain Global School of Management
01.2017
Bachelors of Science - Information Technology
Narsee Monjee College
01.2015
Skills
- Machine Learning (Supervised and Unsupervised Techniques)
- Fraud Prevention
- LLM
- ETL
- Python programming
- Performance measurement Systems
- Data Mining
- Scientific research support
- Data science principles implementation
Additional Information
Created and published video lecture series on data visualization solution for beginners with Packt publishing., Participated in different webinars and panel discussions., Unicom Cash Forecasting for ATMS (Determining amount to refill in atm to reduce interest and transportation cost)., First ranker for all six semesters at Narsee Monjee college (B.Sc.IT, Graduation)., White paper on scaling accuracy of models using XGBoost.
Timeline
Lead Data Scientist - Fraud Prevention
Wise
01.2024 - Current
Senior Data Scientist - Fraud Prevention
Wise
07.2021 - 01.2024
Senior Analyst - Fraud Prevention
Wise
07.2019 - 07.2021
Data Science Consultant
Eigenlytics
02.2019 - 06.2019
Data Science Intern
Kantar Consulting
09.2018 - 12.2018
Data Analyst
Servify
03.2017 - 11.2017
Software Engineer
Tech Mahindra
09.2015 - 01.2017
Masters - Data Science
Università Di Bologna
Post Graduate Diploma - Big data and Analytics
SP Jain Global School of Management
Bachelors of Science - Information Technology
Narsee Monjee College
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