Radha krishnan

Experienced professional with 9 years of demonstrated history in Engineering and Quantitative Analysis in the Energy Sector. Within those 9 years:
 Currently working as a Transmission Planning Engineer conducting Solar Generation Interconnection Studies at OATI, Minneapolis, USA
 4 years of work experience in Design, Engineering and Project Management at Doosan Power Systems, India
 Summer Data science Intern with experience in Power Systems tool development at U.S Department of
Energy’s National lab, Pacific Northwest National Laboratory (PNNL), Richland, WA
 4 years of Research Experience in Power markets at Data Energy Cyber Systems Lab at University of North Dakota, Grand forks
 Experienced in Electricity Price, Load & Renewable Energy Forecast, Energy Markets, Power Generation,
and Data Analytics in Power Systems with relevant Peer-reviewed Journal and Conference publications
 Experienced in regression modelling, forecasting, time series analysis, Machine learning , optimization & deep learning
 Recently published journal paper titled ”A Multi-Stage Price Forecasting Model for Day-Ahead Electricity Market”

Skills:
 Power market: ERCOT, PJM & NYISO market
 Power System Tools: PSSE, MUST
 Data science: Statistical analysis, Machine learning, Data mining, Time series analysis, Predictive
Analytics. Regression modelling & forecasting
 Deep learning framework: TensorFlow
 Tools: MATLAB, Auto CAD, Multisim, LabVIEW, Excel
 Programming Languages: R, Python and SQL

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