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Prasanth Meiyappan

Lead Researcher

Applied Science at Amazon

Seattle, Washington

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Prasanth Meiyappan's Email Addresses & Phone Numbers

Prasanth Meiyappan's Work Experience

National Center for Atmospheric Research

Lead Researcher

June 2012 to July 2012

Boulder, CO, USA

National Oceanic & Atmospheric Administration

Visiting Researcher

May 2012 to May 2012

Greater Seattle Area

German Aerospace Centre

DAAD Summer Research Fellowship

May 2009 to July 2009

Munich Area, Germany

Prasanth Meiyappan's Education

National Institute of Technology, Tiruchirappalli

B. Tech, Industrial Engineering

2006 to 2010

University of Illinois at Urbana-Champaign

Doctor of Philosophy (Ph.D.), Atmospheric Sciences

2010 to 2016

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About Prasanth Meiyappan's Current Company

National Center for Atmospheric Research

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Prasanth Meiyappan works for National Center for Atmospheric Research

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Prasanth Meiyappan is Lead Researcher

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About Prasanth Meiyappan

đź“– Summary

Lead Researcher @ National Center for Atmospheric Research From June 2012 to July 2012 (2 months) Boulder, CO, USAVisiting Researcher @ National Oceanic & Atmospheric Administration From May 2012 to May 2012 (1 month) Greater Seattle AreaDAAD Summer Research Fellowship @ German Aerospace Centre This work involved the development of a method to calculate the contribution of each of the 10 emission sources (e.g. transport, lightning, biomass burning, etc) present in the model to the concentration of HOx(OH and HO2) for a coupled climate-chemistry model (CCM) E39/C. A set of 116 chemical equations were considered from the MECCA mechanism module to compute the concentration of HOx by using box-model studies and a probability approach for each of the chemical reactions considered. An error analysis was performed and the method was found to be effective showing less than 4% error for both OH and HO2 concentration. The nature and extent to which each reaction contributes towards certain high and low concentrations for all emission sources was also studied. The system was also simplified to a set of 12 equations by finding the extent of contribution of each of the reaction towards HOx concentration to make the computation easier with good accuracy. From May 2009 to July 2009 (3 months) Munich Area, GermanyApplied Scientist @ Amazon Greater Seattle AreaPHD Graduate Student @ University of Illinois at Urbana-Champaign • Design and implement statistical/predictive models and cutting edge algorithms utilizing diverse and often messy data to analyse and predict the spatial patterns of land-use change.• Develop, improve, and test various components of an ecosystem model (FORTRAN, MPI). Tested simulations on supercomputers including Hopper, and Yellowstone.• Plan, coordinate and manage multiple projects concurrently and effectively; proactively share new ideas; resolve project issues and offer solutions.• Influence cross-functional teams and overall responsibility for project schedule/deliverables. • Collaborated and led papers with scientists from diverse backgrounds including biogeographers, economists, demographers, remote sensing and CyberGIS experts. Key Achievements• Recognition for Outstanding Research, Ogura Outstanding Research Paper Award, 2015. • Published in top journals with broad audiences including Ecological Modelling, Global Change Biology, and Remote Sensing. • Phi Kappa Phi (Scholastic Honorary) for excellence in academic performance.• Research featured in various science news outlets, including one in the magazine Nature.• Received $8000+ in travel and research fellowships from UIUC Graduate College, the National Science Foundation, and the NASA. From August 2010 to May 2016 (5 years 10 months) Urbana-Champaign, Illinois AreaInsight Data Science Fellow @ Insight Data Science PROBLEM STATEMENT (project timeline: 3 weeks): • Developed a web app in Python ( to provide personalized recommendation on pacing strategy for marathon runners.• Crawled 1.2 million historical marathon runner profiles and concomitant weather data from web sites using BeautifulSoup. Stored and queried the data using SQL. • Developed features for and trained a fractional multinomial logistic model in Python (scikit-learn, glmnet). Used k-fold cross-validation to estimate that the model explained 72% of (null) deviance in the data. • Used elastic-net regularization for feature selection, and t-SNE and PCA for dimensionality reduction. • Deployed the interactive web app using Flask, Bootstrap, jQuery, and AWS.TOOLS: Web Scraping: BeautifulSoupDatabase: SQLiteBackend: Python for data munging and algorithmFrontend: Python Flask and Twitter BootstrapVersion control: Git From January 2016 to March 2016 (3 months) San Francisco Bay AreaAdvanced Science Program Graduate Visitor Fellowship @ The National Center for Atmospheric Research • Developed statistical models to enable linkage between a socioeconomic model and an earth-system model developed by two independent groups at NCAR. • The work opened-up new opportunities for cross-functional collaborations within NCAR. Key Achievements• Re-invited to NCAR for the second summer with a prestigious visiting fellowship offered to top 5% of the applicants. From September 2014 to December 2014 (4 months) Boulder, COIndian Academy of Sciences Summer Research Fellow @ Indian Institute of Science • Proposed and developed a time-dependent 3D numerical model to study the atmospheric dispersion of pollutants from point and area sources under various atmospheric conditions.• Analysed large quantities of diverse datasets to identify robust climate change patterns over India.Key Achievements• Re-invited for the fellowship during subsequent summer. Offered to top 2% of the applicants. From May 2008 to July 2008 (3 months) Bangalore, India

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Extraversion (E), Intuition (N), Thinking (T), Perceiving (P)

Average Tenure

1 year(s), 0 month(s)

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