Clenatech Solar - Data Analytics Intern
At Cleantech Solar, I turned energy data into insights, building predictive models and dashboards that boosted efficiency for solar plants across Asia.
Duration
Feb 2022 - Mar 2022
Location
Mumbai
Duration
Feb 2022 - Mar 2022
Location
Mumbai
Data Engineering
Cleantech Solar is a leading renewable energy company that develops, finances, and operates solar projects across Asia. Their mission is to provide clean and reliable solar power to businesses, helping reduce carbon footprints and transition toward sustainable energy solutions.
As a Data Analytics Intern, I worked closely with site engineers and the operations team to improve how energy performance was tracked and analyzed. The company had large amounts of raw data flowing in from solar installations across multiple regions, and the challenge was to make sense of it in a way that could drive operational improvements.
My work focused on cleaning and structuring energy yield data, automating reporting pipelines, and developing dashboards in Power BI. These tools gave the operations team real-time visibility into plant performance and helped identify areas for optimization. The predictive models I built also enabled smarter maintenance planning and improved efficiency across the portfolio.
Skills & Tools: Data analytics, predictive modeling, ETL pipeline development, workflow automation; Tools: Python, SQL, Power BI, Excel.
Duration
Feb 2022 - Mar 2022
Location
Mumbai
Data Engineering
Cleantech Solar is a leading renewable energy company that develops, finances, and operates solar projects across Asia. Their mission is to provide clean and reliable solar power to businesses, helping reduce carbon footprints and transition toward sustainable energy solutions.
As a Data Analytics Intern, I worked closely with site engineers and the operations team to improve how energy performance was tracked and analyzed. The company had large amounts of raw data flowing in from solar installations across multiple regions, and the challenge was to make sense of it in a way that could drive operational improvements.
My work focused on cleaning and structuring energy yield data, automating reporting pipelines, and developing dashboards in Power BI. These tools gave the operations team real-time visibility into plant performance and helped identify areas for optimization. The predictive models I built also enabled smarter maintenance planning and improved efficiency across the portfolio.
Skills & Tools: Data analytics, predictive modeling, ETL pipeline development, workflow automation; Tools: Python, SQL, Power BI, Excel.