Ismail Saka Email & Phone Number
Who is Ismail Saka? Overview
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Ismail Saka is listed as Manager, Fraud Analytics and Strategy at Central 1, a company with 769 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Ismail Saka.
Ismail Saka previously worked as Manager, Fraud Analytics & Strategy at Central 1 and Senior Decision Scientist - Credit Risk at Kuda. Ismail Saka holds Postgraduate Degree, Data Analytics For Business Decision Making, Distinction from Durham College.
Email format at Central 1
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About Ismail Saka
Solution-driven data analytics leader with proven years of experience in risk analysis & reporting (credit and fraud risk), statistical modelling, data mining and product analytics. Utilizes data analytics in assessing business performance, developing cost-effective solutions, and leading efficient operations. Experienced in developing intricate machine learning algorithms based on statistical analysis and predictive modelling. Possesses excellent teamwork, value proposition, managing diverse team (IT Teams), and channels skillsets effectively towards solving problems and managing large projects with complete accuracy and professionalism
Listed skills include Leadership, Writing, Team Building, Powerpoint, and 33 others.
Ismail Saka's current company
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Ismail Saka work experience
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Manager, Fraud Analytics & Strategy
Current- Lead analyst for new Enterprise Fraud Management solution incorporating 200 credit unions & SMEs in Canada.
- Engineered model features and rules responsible for preventing e-transfer fraud on >100,000 transactions/day.
- Designed and implemented ETL solution for vendor data using AWS Lambda, EC2, S3 and RDS
- Performing fraud indicator screening & analytics on e-Transfer & wire real-time and near-real-time transactions.
- Creating and deploying be-spoke fraud ML models to drive key metrics such as false positives and catch rates.
- Liaise with EFM product owners and project managers identify new data source for fraud modelling.
Senior Decision Scientist - Credit Risk
Decision Scientist - Credit, Ops & Collections
Data & Decision Scientist - Credit Risk
- Accurately build and implement companywide machine learning algorithm and credit risk scorecard.
- Developed models to cross sell & upsell, renewal, retention & customer life time value analysis
- Statistical modelling, predictive & Inferential statistics, time series models & forecasting
- Implementation of fraud predictive model, fraud checks and process automation
- Customer acquisition and targeting model, look alike analysis & behavioural models
- Reject inference for setting risk, accept rates and tolerance levels, back-test & stress test
Data & Business Analyst - Insurance Claims
- Calculated risk on premium, financial analysis, building pricing tool and underwriting decisions
- Reviewed and transformed the motor and property portfolios to a profitable business
- Developed the motor processing straight through process – Automation of process.
- Performed data gathering and analytics of customer-centricity of insured, renewal rates and customer segmentation.
Graduate Research & Teaching Assistant
- Utilized appropriate teaching methods to conceptual knowledge and make students visualize what they are being taught in the area of elementary probability, statistical inference and computing.
- Supervised student and identifies individual and collective learning needs during project research.
- Administered a standardized test and identify various instructional resources to meet students' varying learning needs.
- Conducted research and reviewed research papers
Auditor & Data Analyst
- Recorded, edited and cleaned daily jobs and sales bills using Microsoft Excel.
- Created a new spreadsheet template/tool for data collection and validation
- Analyzed and audited monthly sales bills as well as writing report on sales data from January to September.
Colleagues at Central 1
Other employees you can reach at central1.com. View company contacts for 769 employees →
Anne Saebom Pak
Colleague at Central 1Canada, Canada
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HD
Hollie Dobson
Colleague at Central 1Canada, Canada
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VR
Vinoth Ramesh Kumar
Colleague at Central 1Kitchener, Ontario, Canada, Canada
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AT
Alex Trybushny
Colleague at Central 1Vancouver, British Columbia, Canada, Canada
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JM
Jennelyn Mamaradlo
Colleague at Central 1Surrey, British Columbia, Canada, Canada
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VW
Vanessa Wong, Cpa, Cga
Colleague at Central 1Vancouver, British Columbia, Canada, Canada
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AA
Ann Atkinson
Colleague at Central 1Port Moody, British Columbia, Canada, Canada
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AP
Aja Papp
Colleague at Central 1Canada, Canada
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GW
Gary Wong, Cams
Colleague at Central 1Vancouver, British Columbia, Canada, Canada
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WJ
Wayne Joe
Colleague at Central 1Vancouver, British Columbia, Canada, Canada
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Ismail Saka education
Postgraduate Degree, Data Analytics For Business Decision Making, Distinction
Master’S Degree, Mathematical Science
Bachelor’S Degree, Statistics, First Class
Frequently asked questions about Ismail Saka
Quick answers generated from the profile data available on this page.
What company does Ismail Saka work for?
Ismail Saka works for Central 1.
What is Ismail Saka's role at Central 1?
Ismail Saka is listed as Manager, Fraud Analytics and Strategy at Central 1.
Where is Ismail Saka based?
Ismail Saka is based in Toronto, Ontario, Canada while working with Central 1.
What companies has Ismail Saka worked for?
Ismail Saka has worked for Central 1, Kuda, Fairmoney, Renmoney, and Axa Mansard.
Who are Ismail Saka's colleagues at Central 1?
Ismail Saka's colleagues at Central 1 include Anne Saebom Pak, Hollie Dobson, Vinoth Ramesh Kumar, Alex Trybushny, and Jennelyn Mamaradlo.
How can I contact Ismail Saka?
You can use AeroLeads to view verified contact signals for Ismail Saka at Central 1, including work email, phone, and LinkedIn data when available.
What schools did Ismail Saka attend?
Ismail Saka holds Postgraduate Degree, Data Analytics For Business Decision Making, Distinction from Durham College.
What skills is Ismail Saka known for?
Ismail Saka is listed with skills including Leadership, Writing, Team Building, Powerpoint, Consulting, R, Public Speaking, and Data Science.
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