I’m a results-driven Data Engineer with a strong background in building scalable analytics systems, visual dashboards, and machine learning pipelines. I bring a blend of full-stack web development and data science expertise, allowing me to craft actionable solutions from raw data. With hands-on industry experience across traffic systems and telecom applications, I turn data into strategic insights.
To create intelligent data systems that power smarter cities, industries, and decision-making with minimal latency and maximum clarity.
To combine real-time data processing, predictive modeling, and user-centric design to solve business problems and enhance operational efficiency across sectors.
Providing actionable insights and visual dashboards using Power BI, Excel, Pandas, and NumPy—supporting stakeholders in regulatory reviews and decision-making.
Applied supervised and unsupervised techniques to traffic and agriculture data, optimizing flow models and crop planning systems across varied environments.
Utilized historical and real-time data to identify congestion patterns, accident-prone zones, and crop irrigation windows—reducing risks and improving resource allocation.
Developed robust test cases and scripts using Selenium, TestNG, and JIRA—ensuring zero backlog and enhancing QA accuracy for telecom clients.
Performed high-volume queries and data cleaning across millions of records—achieving 98%+ data validation accuracy and enabling accurate reporting.
Designed responsive interfaces using HTML, CSS, JavaScript, Bootstrap, and Node.js—building intuitive UIs and integrations for analytics platforms.
Led the UI and integration efforts for a farm management system, developing 4 dashboard modules to monitor crop cycles, weather patterns, and soil conditions. Integrated real-time weather data and soil input simulations to improve irrigation accuracy by 25% and reduce farmer response time to climate alerts by 50%. This project improved harvest tracking by 40% across 10+ farms.