Tim Melino personal email
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For over 8 years, I have demonstrated strong expertise in applying cutting edge technology like Artificial Intelligence to conduct weather research and forecasting. As an analytical and data-oriented Meteorologist, I applied AI/Machine Learning to improve renewable energy forecasting globally. Some of my competencies include;- The Weather Research & Forecasting Model (WRF)- Machine Learning- Big Data Analytics- ProgrammingMy accomplishments in Big Data Analytics and Weather Research has earned me invitations to several high profile events like the New York Climate Week (as part of #enelfocuson by Enel Green Power) and the Open Data Science Conference in Boston for the past 3 years.Open, passionate and innovative. Enjoy programming. Interested in Financial investments and the stock market. Email me @ melino33@gmail.com
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Data Scientist, Grid SolutionsUlAlbany, Ny, Us -
Data Scientist, Grid SolutionsUl Jul 2016 - PresentAlbany, New York AreaI currently work applying cutting edge machine learning methods to renewable energy forecasting. -
MeteorologistMeso, Inc. 2010 - PresentForecast Development and WRF modeling -
Teaching AssistantUniversity At Albany 2008 - 2010 -
Research AssistantUniversity At Albany 2008 - 2010
Tim Melino Skills
Tim Melino Education Details
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Atmospheric Sciences And Meteorology -
Atmospheric Sciences And Meteorology
Frequently Asked Questions about Tim Melino
What company does Tim Melino work for?
Tim Melino works for Ul
What is Tim Melino's role at the current company?
Tim Melino's current role is Data Scientist, Grid Solutions.
What is Tim Melino's email address?
Tim Melino's email address is me****@****ail.com
What schools did Tim Melino attend?
Tim Melino attended Suny Albany, Suny Albany.
What are some of Tim Melino's interests?
Tim Melino has interest in Science And Technology, Environment.
What skills is Tim Melino known for?
Tim Melino has skills like Meteorology, Weather Forecasting, Weather, Environmental Science, Data Analysis, Numerical Weather Prediction, Research, Statistics, Numerical Analysis, Machine Learning, Big Data Analytics, Python.
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