I possess strong data analysis skills with hands-on experience in Excel, SQL, and Python for data cleaning, manipulation, and statistical analysis. I am proficient in using Power BI and Tableau to create interactive dash…
I possess strong data analysis skills with hands-on experience in Excel, SQL, and Python for data cleaning, manipulation, and statistical analysis. I am proficient in using Power BI and Tableau to create interactive dashboards and data visualizations that support clear decision-making. My knowledge of data preprocessing, ETL concepts, and reporting helps me work efficiently with diverse datasets. I also bring strong problem-solving ability, critical thinking, and attention to detail, along with the ability to communicate insights clearly and convert complex data into meaningful stories.
At ChargeZone, I was responsible for supporting daily EV charging network operations, ensuring smooth functioning of charging stations, and coordinating with technical teams for issue resolution. I monitored station performance, analyzed operational data, and prepared regular reports to improve efficiency and uptime. I assisted customers with queries, maintained documentation, and ensured adherence to safety and quality standards. Additionally, I collaborated with cross-functional teams to enhance user experience and contributed to the overall growth and reliability of the charging infrastructure.
Designed and developed interactive Power BI dashboards to track charger utilization, downtime, and performance KPIs.
Conducted data analysis on WebSocket, power loss, and utilization trends, identifying key operational issues.
Delivered actionable insights that helped optimize charger uptime and informed preventive maintenance planning.
Improved reporting efficiency.
Enabled data-driven decision-making.
Supported reducing charger downtime.
Designed and developed interactive Power BI dashboards to track charger utilization, downtime, and performance KPIs., Conducted data analysis on WebSocket, power loss, and utilization trends, identifying key operational issues., Delivered actionable insights that helped optimize charger uptime and informed preventive maintenance planning., Impact: Improved reporting efficiency, enabled data-driven decision-making, and supported reducing charger downtime.
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