Abdul
I am a results-driven Senior Business Data Analyst with 8+ years of experience leading cross-functional data initiatives across insurance, e-commerce, mobility, and energy sectors. My core strength lies in bridging business goals with robust data architecture to deliver actionable insights, scalable solutions, and measurable business value. Having worked in dynamic environments like bol.com, VodafoneZiggo, Fastned, and Allianz Direct, I specialize in: Data Product Ownership: Shaping the vision and roadmap for analytical solutions, including KPIs, fraud metrics, and telemetry-based models. Proven success in building data products for both internal stakeholders and external partners, including “data as a service” layers and fraud detection engines. Process Design & Optimisation: Designing end-to-end data and reporting processes from scratch. At Benerail and Shopforward, I led the development of foundational data layers, enabled delta sharing, and migrated legacy reporting to scalable Power BI infrastructure. Advanced Analytics & Insights: Conducting root cause analysis, A/B testing, and causal inference to redefine KPIs (e.g. Account Takeover at bol.com). Used tools such as SQL, PySpark, and Python to analyse large datasets and influence business decision-making. Agile Collaboration & Stakeholder Management: Certified PSM I Scrum Master and trained coach with experience guiding diverse data teams across Netherlands, Germany, and the UAE. Introduced innovative delivery practices (e.g., pre-refinement rituals, stakeholder bots) to reduce meeting fatigue and improve flow. Tooling & Tech Stack: Deep experience with Power BI, Tableau, Qlik, Azure, Databricks, GCP (BigQuery, Vertex AI), DBT, Snowflake, SAP (MM, ECC), D365, and Salesforce. Strong understanding of data warehousing, modeling (star/snowflake), and governance best practices. Whether driving data platform migrations (e.g., SAP ECC to AWS), building financial & fraud dashboards, or leading BI transformations using GenAI, I bring strategic clarity, technical credibility, and an ownership mindset to every project I take on.
Abhishek
I am a proactive and innovative facilitator, committed to prioritizing customer needs while developing cutting-edge solutions using advanced technologies such as machine learning and applied optimization. With over ten years of experience, I specialize in envisioning, exploring, and facilitating end-to-end product development. I leverage data, processes, and knowledge to provide valuable insights, optimize workflows, and minimize failures. Roles Data Scientist, Solution Architect, Researcher, Team Lead, Engineer Significant Contributions Commercial Space:- Pricing: Expertise in developing pricing models, including elasticity analysis to optimize revenue. - Marketing: Implemented cross-selling and up-selling strategies to enhance customer value and drive sales growth. - Value Growth: Focused on churn reduction strategies to improve customer retention and satisfaction. Digital Twin Development: Developed the inaugural digital twin for autonomous combustion tuning in a coal-fired power plant's boiler. The entire product lifecycle—from ideation and planning to data extraction, process optimization, and software implementation—was meticulously executed. Key insights from this endeavor have been successfully applied across diverse domains, including manufacturing, utilities, and oil and gas. Semiconductor Industry: Demonstrations showcased the efficacy of this approach within the semiconductor industry. Industrial Analytics Platform: Involved in the development of a platform for industrial analytics and enabling digital twins. Established a team of young and dynamic associates for industrial analytics in Japan and India. Leadership and Collaboration: Proven ability to lead cross-functional teams and collaborate with stakeholders to drive project success and innovation. Skillset Commercial & Industrial analytics, Machine learning, Algorithms, Optimization, Predictive control, Fault diagnosis, Software development Areas of Interest Predictive Modelling, Data Mining, Machine Learning, Automation, Business Excellence, Supply Chain, Demand Generation, Pricing