• Designed and deployed a big data architecture combining Hadoop data lake, Apache Spark cluster, and ElasticSearch, to process raw agricultural data into ML-driven product features and actionable insights.
• Built end-to-end data pipelines for agricultural data (weather, crops, soil, yields) and developed statistical crop yield forecast models using regression algorithms for predictive business strategy.
• Delivered interactive BI dashboards using Kibana and Apache Superset, translating complex analytical insights into accessible reports for leadership.
• Empowered outsourcing clients by assessing their analytics maturity, crafting customized training materials, and delivering hands-on lab sessions.