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Kabitri Chattopadhyay

@kabitrichattopadhyay

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Energy Data & Meteorology Analyst with expertise in renewable systems.

United States

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What I'm looking for

I seek a role that fosters innovation in renewable energy and offers opportunities for professional growth.

I am an accomplished Energy Data & Meteorology Analyst with extensive experience in simulation, optimization, and forecasting of energy systems. My work focuses on enhancing solar PV power forecasting accuracy and integrating renewable energy sources into grid operations. I have a proven track record in multi-horizon probabilistic forecasting and energy market analysis, which has enabled me to optimize generation mix for grid stability.

Throughout my career, I have developed cost-efficient energy storage solutions and designed smart grid systems with a strong emphasis on sustainability. My technical writing and peer-reviewed journal contributions reflect my commitment to advancing the field. I am proficient in utilizing machine learning techniques to improve system efficiency and operational sustainability, and I am multilingual, which enhances my ability to engage with diverse stakeholders.

Experience

Work history, roles, and key accomplishments

Postdoctoral Fellow

University of Central Florida

Nov 2022 - Dec 2023 (1 year 1 month)

Enhanced solar PV power forecasting accuracy through advanced statistical models and optimized renewable energy integration. Conducted market analysis to improve grid efficiency and reliability, supporting sustainable energy solutions with innovative microgrid designs.

Statistical Modeling Renewable Integration Market Analysis Python Grid Efficiency Stakeholder Engagement

Postdoctoral Fellow

Technical University of Denmark

Nov 2017 - Mar 2020 (2 years 4 months)

Developed computational models for energy storage strategies and created a Python-based tool for operational planning. Integrated electricity price forecasts into simulations to enhance market adaptability and operational sustainability.

Python Market Adaptation Renewable Energy Sustainability

PhD Scholar

Carl von Ossietzky University

Feb 2013 - Jul 2017 (4 years 5 months)

Refined grid integration strategies for solar energy, enhancing forecasting accuracy and operational efficiency. Developed algorithms for cloud retrieval and optimized solar deployment strategies to ensure grid stability.

Algorithm Development System Integration Renewable Energy Research Data Analysis

Research Intern

Max Planck Institute for Chemistry

Jan 2012 - Jan 2013 (1 year)

Conducted studies on aerosol transport and improved long-range transport modeling through code development. Validated model performance against measurement data, enhancing environmental and climate modeling capabilities.

Aerosol Transport Environment Modeling Code Development Data Validation Research WRF Chem Emacs

Research Fellow

Physical Research Laboratory

Jul 2009 - Dec 2011 (2 years 5 months)

Delivered meteorology courses and supervised renewable energy projects, utilizing active learning methods to engage students and enhance understanding of complex topics.

Teaching Mentoring Meteorology Active Learning Renewable Energy Curriculum Development Instructional Design

Education

Degrees, certifications, and relevant coursework

Carl von Ossietzky University

PhD, Renewable Energy

2013 - 2017

Conducted research on renewable energy, focusing on grid integration strategies for fluctuating solar energy and enhancing solar forecasting accuracy through algorithm refinement.