Experience in data analytics and machine learning, focused on crafting predictive models that bolster financial performance and operational efficiency. Proficient with advanced tools such as SQL, Power BI, and Tableau for rigorous data analysis and effective visual reporting. Renowned for converting complex business challenges into streamlined analytical solutions, I drive strategic decisions that advance key business objectives.• Developed a machine learning model to forecast property prices over a 3–6-month period, significantly boosting profitability.• Performed in-depth data analysis leveraging SQL, Power BI, and Tableau on real-time RERA and internal company databases.• Managed and manipulated large datasets using SQL and utilized advanced Excel techniques for data modeling and trend visualization to support strategic decision-making.• Generated bi-weekly analytical reports that identified key performance metrics, leading to a 15% quarter-over-quarter increase in direct sales through process optimizations.• Created and sustained interactive dashboards using Power BI and Tableau, enabling real-time actionable insights and improved tracking of performance metrics.• Engaged with cross-functional teams to convert complex business requirements into analytical frameworks, presenting data assumptions and findings clearly to stakeholders to refine strategic analyses and decision-making processes.

• Utilized SQL to query and manipulate large datasets from property databases, ensuring data integrity and accuracy for analysis.• Developed predictive models using Python to forecast real estate trends and property prices, contributing to strategic decision-making.• Created dynamic reports and dashboards using Power BI to visualize key performance indicators, enhancing business insights for stakeholders.• Conducted comprehensive market research to identify patterns and insights, leveraging MS Office tools for data compilation and presentation.• Automated repetitive data processes with Python scripts, increasing efficiency and allowing more time for complex data analysis.

Collaborated with Anzen to work on IoT initiatives; gained assistance in the design and execution of the undergraduate final year project, “IoT Based Smart Irrigation System”. Led a 3-member team, executing tasks and driving the project to completion. • Bolstered irrigation efficiency by developing a microcontroller-based prototype to automate irrigation systems; configured chips, integrated real-time sensors, and implemented a BLE-based mesh network using ESP32. • Ensured clarity in the project’s progress and results by delivering project documentation, presentation, and communication; created comprehensive reports to convey project advancements to stakeholders.• Enhanced real-time data interfacing and transmission by connecting 10 nodes using ESP32's BLE capability for consistent node-to-node communication; employed the MQTT protocol for seamless communication.• Elevated data analysis by establishing data integrity parameters and implementing data-driven techniques for resource efficiency.