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Ashkan Sheikh Ansari

@ashkansheikhansari

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Data Analyst & ML Engineer delivering impactful fraud-detection models.

United Kingdom

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my analytical skills to solve complex problems and contribute to impactful projects.

I am a Data Analyst and Machine Learning Engineer with a strong background in developing production-grade models for fraud detection and credit risk assessment. With an MSc in Artificial Intelligence from Brunel University London, I have successfully delivered models that achieve 92% recall and 89% accuracy across over 10,000 daily transactions. My expertise lies in utilizing Python, SQL, and various machine learning frameworks to drive data-driven decision-making.

Throughout my career, I have worked with Outlier AI and Tejarat Bank, where I have honed my skills in data cleansing, model building, and automation. Notable achievements include building an XGBoost fraud-detection pipeline that prevented approximately £1.2M in annual chargebacks and automating daily credit-risk reports, significantly reducing manual workload. I am passionate about leveraging data to create impactful solutions and continuously seek opportunities to enhance my skills in data engineering and machine learning operations.

Experience

Work history, roles, and key accomplishments

Current

AI Model Software Engineer

Current

Outlier AI

Nov 2024 - Present (6 months)

Audited over 3200 LLM responses weekly, improving prompt logic and client NPS by 12 points. Developed a FastAPI evaluation harness that significantly reduced regression testing time, and delivered reliability dashboards for product leads.

fastAPI Python Data Analysis Dashboard Development Regression Testing Machine Learning

Data Analyst

Tejarat Bank

Jun 2021 - Sep 2023 (2 years 3 months)

Cleansed over 500k Oracle/MySQL transaction rows and built an XGBoost fraud-detection pipeline achieving 92% recall, preventing around £1.2M in annual charge-backs. Automated daily credit-risk reports, eliminating 4 hours of manual work each week.

Python SQL XGBoost Oracle MySQL Data Cleaning Data Analysis Automation Machine Learning Reporting

Database Support

Tejarat Bank

Jun 2020 - Jun 2021 (1 year)

Tuned over 200 stored procedures, reducing query latency by 30%. Deployed Nagios monitoring, cutting P1 outages from 5 to 1 per month, and wrote PL/SQL validation scripts that reduced manual data-entry errors by 20%.

Pl SQL Oracle Monitoring Data Validation Query Optimization Automation Problem Solving

Education

Degrees, certifications, and relevant coursework

Brunel University London

MSc in Artificial Intelligence, Artificial Intelligence

Specialized in Machine Learning, Deep Learning, Data Science, and AI Project Management. Key projects: Developed deep learning models for stock prediction and real-time analytics.