Solar & Renewable Energy Analysis
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Summary
Conducted comprehensive load analysis and energy demand assessment for residential solar systems, designing optimal inverter and battery configurations based on detailed consumption patterns.
Highly analytical Chemistry student specializing in Data Analytics and Solar Energy Systems Design, proficient in Python and Power BI for data cleaning, analysis, and visualization. Leverages scientific research and critical thinking to deliver data-driven insights and contribute to sustainable energy solutions, aiming to solve complex challenges in data science and renewable energy sectors.
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Bachelor of Science (B.Sc.)
Chemistry
Courses
Analytical Chemistry
Chemical Thermodynamics
Statistical Mathematics
Python, Power BI, Data Cleaning, Data Visualization, Dashboard Development.
Load Analysis, Inverter Sizing, Battery Configuration, Energy Systems Design.
Scientific Research, Laboratory Analysis, Critical Thinking, Technical Problem-Solving.
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Summary
Conducted comprehensive load analysis and energy demand assessment for residential solar systems, designing optimal inverter and battery configurations based on detailed consumption patterns.
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Summary
Managed end-to-end data processing, from cleaning and transformation using Python to developing interactive dashboards in Power BI, enabling data-driven decision-making.