Vikram El

Designed scalable analytical and machine learning pipelines to segment customers and identify commercial value drivers, supporting targeted campaigns and business decision-making. Analysed large-scale transactional and demographic datasets in BigQuery to uncover regional demand patterns, customer purchasing trends, and campaign response behaviour. Applied regression and statistical modelling techniques to identify behavioural factors influencing customer purchase likelihood and campaign performance.

Data Scientist - Border Business System Ltd - Wrexham - United Kingdom

(2025-04 - 2026-01)

• Designed scalable analytical and machine learning pipelines to segment customers and identify commercial value drivers, supporting targeted campaigns and business decision-making.
• Analysed large-scale transactional and demographic datasets in BigQuery to uncover regional demand patterns, customer purchasing trends, and campaign response behaviour.
• Applied regression and statistical modelling techniques to identify behavioural factors influencing customer purchase likelihood and campaign performance.
• Built robust feature engineering and data preparation pipelines using Python, Pandas, and TensorFlow Transform to improve data consistency and analytical reliability.
• Developed data-driven targeting systems to identify high-potential customer groups, contributing to measurable incremental revenue from pilot campaigns.
• Produced analytical insights and recommendations for non-technical stakeholders, translating complex outputs into actionable commercial strategies.
• Collaborated across technical and business teams to improve reporting workflows, analytical processes, and operational efficiency.

Business Analyst - Tata Consultancy Services - Bangalore - India

(2021-05 - 2022-12)

• Partnered with Nielsen US and Del Monte Foods to analyse sales, pricing, and operational performance, providing actionable insights to improve margins and optimise stock.
• Delivered 50+ interactive Power BI dashboards tracking revenue, sales trends, and customer performance, improving reporting efficiency by 40%.
• Conducted commercial and operational performance analysis to identify demand trends, pricing impact, stock inefficiencies, and process improvement opportunities.
• Automated recurring analytical workflows using SQL, Excel, and Power BI, improving the speed, accuracy, and consistency of business reporting.
• Collaborated with cross-functional teams to validate data integrity, ensuring business-critical reports were reliable and actionable.

MSc - Data Science - Kingston University (2023-01 - 2024-01)

BEng - Computer Science - Amrita Vishwa Vidyapeetham (2017-07 - 2021-05)