I am a data analyst with five years of professional experience spanning IoT, embedded systems, sensor data, and monitoring solutions. I focus on transforming operational and business data into actionable insights through analysis, visualization, and reporting.
I have hands-on experience with Python, SQL, Power BI, DAX, data modeling, and business intelligence workflows. My analytical work includes data quality assessment, exploratory data analysis, anomaly detection, and KPI dashboard development.
In IoT environments, I have worked extensively with sensor-generated data, including temperature, humidity, CO₂, airspeed, and light measurements. I analyze data across device, location, time, and sensor dimensions to identify abnormal behavior and reliability issues.
I also bring a strong embedded systems background, with experience in Embedded C, STM32 devices, RTOS-based firmware, Modbus sensors, bootloaders, and FOTA-related functionality. This technical foundation helps me understand data generation and operational context at the device level.
My projects include building anomaly detection workflows using rule-based methods and machine learning techniques such as Isolation Forest. I have developed multi-page Power BI dashboards for monitoring operations, investigating anomalies, and reporting business and technical KPIs.
I am currently focused on data analysis and business intelligence opportunities where I can combine analytical problem-solving, Python and SQL capabilities, and practical IoT domain knowledge to support data-driven decisions.
I work with sensor-generated data from IoT monitoring systems, supporting data analysis, anomaly detection, and identification of data-quality issues. I develop Python-based tools and workflows for processing and analyzing IoT data.
I also develop and maintain embedded C software for STM32-based devices. My responsibilities include RTOS-based firmware, Modbus sensor integration, IoT communication modules, and FOTA-related functionality.
I analyzed sales and business data to identify performance patterns and support data-driven decision-making.
I used Python and business intelligence tools to analyze and visualize data, and prepared analytical reports based on sales and business metrics.
M.A., Logic
B.Sc., Information Technology Engineering
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