Khan Mohd Anas

Data Engineer

• Job Details:Designed and implemented scalable data pipelines, reducing data processing time by 40%. Developed ETL processes, built and maintained data warehouses and data lakes. Implemented data modeling techniques, improving query performance by 25%. Collaborated with data scientists and analysts, leading to the successful deployment of five machine learning applications.

Data Scientist / Digital Marketing Expert

• Job Details:Designed and deployed machine learning models to identify and prevent fraudulent activities in real-time, leveraging advanced techniques such as deep learning and on-premise large language models (LLMs), achieving a 15%-20% improvement in fraud detection accuracy. Developed NLP-based solutions to analyze transaction descriptions, customer complaints, and support logs, integrating LLMs for enhanced text-based fraud detection workflows, resulting in a 10%-15% reduction in undetected fraudulent activities. Optimized and maintained machine learning models using frameworks like scikit-learn, TensorFlow, and H2O, continuously improving model precision and reducing false positives by 15%-20%. Created compelling visualizations with tools like Tableau and Excel to communicate findings, leading to a 20%-25% increase in actionable insights for stakeholders. Conducted exploratory research on emerging AI and machine learning techniques to drive innovation, achieving a 10%-15% improvement in pilot fraud detection projects. Developed and executed targeted marketing strategies across paid and organic channels (PPC, SEO, social media, display ads, affiliates) that led to a 25% increase in customer acquisition and a 20% boost in customer lifetime value (LTV) over 12 months. Collaborated with design and content teams to produce engaging, compliant content (promotions, bonuses, reviews), resulting in a 30% increase in customer engagement on digital platforms. Managed digital marketing budgets effectively, achieving a 20% increase in ROI by optimizing spend across various channels and reallocating resources in real-time based on performance data. Conducted continuous A/B testing across campaigns, improving landing page conversion rates by 25% and increasing ad click-through rates (CTR) by 15%.

Sr. Data Analyst

• Job Details:Led a team of data analysts, achieving a 25% increase in productivity. Designed and implemented data pipelines, reducing data processing time by 30%. Conducted A/B tests and statistical hypothesis testing, improving campaign ROI by 20%. Presented findings and recommendations to executive leadership, resulting in the implementation of three strategic initiatives.