Kalap Man

Econometrics & Operations Research graduate with foundation in mathematics, statistics, quantitative modelling, Python and SQL. Hands-on experience building data pipelines, validating data, and creating and monitoring dashboards. Academic work includes credit risk modelling and stock price prediction; independent project work includes risk analytics. Seeking graduate risk analyst roles in London focused on risk reporting, monitoring, quantitative analysis, data quality and risk modelling.

Working Student at Lely (2024-04 – 2025-08)

Lely: Market leader in advanced robots and automated systems for agriculture

• Developed ETL components for pipeline integration
• Identified data pipeline issues and implemented fixes to improve data reliability
• Developed SQL queries in Azure Databricks to extract and validate data for analysis
• Built real-time dashboards to support monitoring, reporting and decision-making

Data & A.I. internship at Lely (2023-08 – 2023-12)

Internship Research: Predictive Maintenance

• Extracted raw data using Azure Blob Storage and prepared it for analysis
• Built data pipelines for data preprocessing, cleaning and transformation using pandas
• Time-to-event analysis to predict alarms using historical data and statistical patterns
• Data visualisation using Matplotlib and Plotly to present insights

Private Tutor at Self-employed (2020-08 – Present)

Worked one-on-one with students seeking assistance in math and statistics. Taught students, helping them to improve their understanding of the subject and develop their study skills.

BSc in Econometrics & Operations Research – Erasmus University Rotterdam (2025)