Taha Furqan

Taha Furqan

Regional Data Analyst Risk And Fruad (Apac) @ DeliveryHero

About Taha Furqan

Taha Furqan is a Regional Data Analyst specializing in Risk and Fraud at Delivery Hero in Kuala Lumpur, Malaysia. He has extensive experience in data science, fraud prevention, and big data analytics.

Current Role at Delivery Hero

Taha Furqan is currently employed as a Regional Data Analyst specializing in Risk and Fraud for the APAC region at Delivery Hero. He operates from Kuala Lumpur, Malaysia. His work involves implementing data science models to tackle and reduce fraud attack patterns. This includes addressing issues such as Chargebacks, Post Delivery Claims, Rider Customer Collisions, and Cash Pranks. By working closely with Product Managers, Data Scientists, and Data Engineers, Taha has significantly reduced average monthly fraud losses.

Previous Experience

Before his current role, Taha Furqan held several positions. He was a Data Analyst for Customer Operations at Delivery Hero, based in Pakistan, for seven months in 2021. Prior to that, he worked as a Data Analyst at the Pakistan Revenue Automation Company for one year from 2020 to 2021. He has also held positions as an Associate Analyst at Wavetec and as a Co-Founder at TAMEER GHAR. His early career included an internship in Information Security at the National Clearing Company of Pakistan Limited and a role as Co-Founder at Elephant.

Educational Background

Taha Furqan graduated from the Institute of Business Administration with a Bachelor's degree in Computer Science. His academic journey at the institute, spanning from 2015 to 2019, provided him with a strong foundation in developing data science algorithms and quantitative research. This educational background has significantly contributed to his professional capabilities in various data analyst roles.

Specialization and Expertise

Taha Furqan specializes in several areas within data science, including robust statistics, experimentation design, big data analytics, and predictive modeling. His expertise extends to Bayesian optimization, machine learning, data mining, and data analytics. He has developed and implemented data science models such as Random Forest, Isolation Forest, and KNN. Additionally, he has led significant projects that have streamlined key metric reporting and built ETL pipelines and dashboards.

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