Germany
I pursued my Master’s degree in Data Science,AI and Digital Business at Gisma University of Applied Sciences, With expertise in AI for Business, Microsoft Azure, and Large Language Models (LLM), I am motivated to develop data-driven solutions that align with organisational objectives and deliver impactful results. I build forecasting and ML systems that run in production and drive real decisions. At Wipro I owned ML pipelines end-to-end : modelling, deployment, monitoring, improvement. Got to 95% accuracy on 10,000+ daily records. Cut 80+ hours of manual work per week. Stack: Python · SQL · PySpark · AWS · time series · statistical modelling · causal inference. As a Business Development Associate at Hamhey, I contribute to advancing business development by leveraging data management and fostering customer relationships. My work focuses on providing insights to support strategic growth initiatives and promoting collaboration within our team. I excel in high-pressure situations, embrace challenges, and consistently fulfil tasks with precision and integrity. I am committed to continuous learning and excellence in all aspects of my work.
In my role at Hamhey, I focused on business development, data management, and customer interactions. I contributed insights that shaped our growth strategies and fostered a collaborative environment. My efforts were aimed at establishing the company as a key player in the market. Built automated ETL workflows connecting internal APIs and data sources so data moves between systems without manual handling. Designed KPI dashboards used directly by management for revenue and operational decisions. Run end to end quantitative analysis and deliver findings reports where no interpreter layer needed.
In my role at Wipro, I focused on architecting data pipelines and optimizing SQL queries to enhance system performance. I ensured compliance with enterprise security standards while driving agile sprint delivery within a Scrum framework. My efforts in refactoring code and implementing tests significantly improved system stability and streamlined cross-functional collaboration. Analytics and ML go-to across two enterprise accounts (Hitachi, Cisco). Built and operated demand forecasting and ML models end to end from problem framing to production deployment, monitoring, and continuous improvement. Worked with large scale ERP and CRM data to extract supply demand signals and build robust statistical and ML models. Wrote advanced SQL to surface revenue conversion trends, shipping metrics, and margin analysis that fed directly into product decisions. Delivered root cause analysis that pinpointed exactly where processes were breaking down. Raised production accuracy to 95% . Managed parallel ML workstreams in Agile/Scrum via Jira. Presented technical results clearly to business managers and heads of product.
• Built Python ETL pipelines processing 10,000+ records daily at best accuracy. Applied statistical analysis to identify process inefficiencies and automated the reporting layer cutting manual effort by 85%.
• Analysed datasets in Python and built visualisations that made operational patterns actionable; presented process improvement recommendations to the team.