Ajilesh Parayulla P. Profile

4,3

(4 відгуки(-ів))

Тепер ви підписані на

Помилка підписки на користувача.

Цей користувач не дозволяє слідувати за ним.

Ви вже слідуєте за цим користувачем.

Ваш членський план дозволяє мати не більше 0 підписок. Покращити рівень членства можна тут.

Успішно відписалися від

Помилка під час скасування підписки на користувача.

Ви успішно рекомендували

Помилка рекомендування користувача.

Щось пішло не так. Будь ласка, оновіть сторінку та повторіть спробу.

Електронну адресу успішно верифіковано.

$20 USD / год.

vatakara,

india

$20 USD / год.

Зараз тут 6:39 дп

На сайті з квітня 27, 2020

0 Рекомендації

Ajilesh Parayulla P.

@ajileshparolla

4,3

(4 відгуки(-ів))

4,0

100%

$20 USD / год.

vatakara,

india

$20 USD / год.

100%

Завершених робіт

82%

В межах бюджету

100%

Вчасно

33%

Рейтинг повторного найняття

Climate/Weather Modeler, Forecast, ML&Data analyst

Experienced in research with a demonstrated history of working in the field of Data Science and Analytics. Skilled in Data analysis and visualization, R Programming, Python for data science, Machine Learning, Linux and Windows, Bash Scripting, GrADS, CDO and NCL, WRF-ARW Modeling. I have taken part in four Govt. of India projects and deliver expected results on time and submitted the report. Skilled in Scientific Paper/Report writing with three international peer-reviewed publications. I have attended many national and international Seminars and Conferences. LinkedIn : [login to view URL] Twitter: [login to view URL]

Переглянути всіх Data Processing Executives в India

Зв'яжіться з Ajilesh Parayulla P. щодо вашої роботи

Авторизуйтесь, щоб обговорити деталі в чаті.

Портфоліо

The aim of the project is the simulation of high-resolution climate information for Southern Peninsular India (SPI). Another objective is the projection for the future and studies how extreme events vary in the future under different scenarios. For generating the simulations, CMIP5 data serve as the boundary conditions for the model run. The regional climate model used in RegCM4. Since the quality of the output produced by the regional climate model depends on the boundary conditions, a study was conducted to identify the CMIP5 model that best represents the seasonal climatology and climate variability for the Southern Indian Peninsular domain. Performance metrics were used to test the ability of CMIP5 models to capture the observed monthly mean and variability over the region using MRI-CGCM3 was found to be the best performing among its contemporaries. High-resolution climate simulations were done and analyzed for the selected domain.

High-Resolution Climate/Weather Modelling and Analysis

The work was regarding the research paper. I had to Weather Forecast and Research modelling of precipitation and Lightning Potential Index (LPI) over the Antarctic peninsular region. The simulated output is analyzed using statistical techniques.

WRF Modellig and Data Analysis

High-Resolution Climate/Weather Modelling and Analysis

WRF Modellig and Data Analysis

Відгуки

Зміни збережені

Показано з 1 по 4 із 4 відгуків

Фільтрувати відгуки за:

1,2

₹14 200,00 INR

Project 28406433 has been deleted

.............................

Rishabh S.

@rsrishabhsaxena3

•

3 years ago

5,0

₹500,00 INR

wrf modelling and data analysis

Ajilesh is a very simple but smart guy he helped me throughout the project I highly recommend him. he give work with high standards and he is well qualified to handle work .he have advanced knowledge of numerical modelling including WRF and programming language such as python, Fortran , R, Matlab, NCL .

Copywriting

Article Writing

Rishabh S.

@rsrishabhsaxena3

•

4 years ago

5,0

$616,00 USD

Remap change projection of climate data using CDO to regular lat lon grib2 file -- 2

Great working with Ajilesh on a climate data project. Looking forward to another task some time.

Jeppe S.

@nvcharts

•

4 years ago

5,0

₹13 650,00 INR

Project for Ajilesh Parayulla P. -- 20/06/16 00:53:08

Expert in Scientific Writing , he work under budget and always finish work under timeline

Linux

Data Processing

Excel

R Programming Language

+ ще 1

Rishabh S.

@rsrishabhsaxena3

•

4 years ago

Досвід роботи

Cochin University of Science and Technology

лют. 2019 - бер. 2020 (1 year, 1 month)

The project was High-Resolution Climate Modelling For Southern Peninsular India. Climate modelling of SPI was done using RegCM 4.5 for 26 years spanning from 1980 to 2005, output data was analysed and the project report was submitted.

Amrita Centre for wireless network and applications

черв. 2018 - лют. 2019 (8 months, 1 day)

It was a WRF modelling work in a project titled "Dynamical Downscaling of Regional Climate: Simulation of Extreme Rainfall Events and Their Impacts over the State of Kerala in the Near-Future". Analysed many years of rainfall data and a report was submitted.

CSIR-Fourth Paradigm Institute

вер. 2014 - лист. 2017 (3 years, 2 months)

The project title I worked was "Investigations of Mega-City Effects on the Genesis The intensity of Extreme Rainfall Events and their Impact." The main responsibilities were data analysis, statistical modeling and visualization, and making project reports.

Освіта

Masters

Cochin University of Science and Technology,

India

2010 - 2012

(2 years)

BSc Physics

Kannur University,

India

2006 - 2009

(3 years)

Кваліфікація

CSIR-UGC

2014

Qualified CSIR-UGC National Eligibility Test (NET)

Публікації

Digital revolu- tionand Big Data: a new revolution in agriculture.

CAB Re- views

This review considers the role of Big Data (BD), the digital revolution, the application of the Internet of Things (loTs), and sensor technologies in the agriculture sector. In this paper, ongoing research efforts on BD within the agriculture sector, basic features of BD, and the latest development in BD analytics tools, the importance of BD applications in the agriculture and examples of their success stories in increasing farm productivity, the current scenario etc are discussed.

Observed and- model simulated thermodynamic processes associated with ur- ban heavy rainfall

Mete- orological Applications

A total of 32 rainfall events spanning the period from 2012 to 2014 over the urban Indian city of Bangalore were simulated using the Weather Research and Forecast (WRF) model. Model simulations were carried out with a four‐nested domain initialized with Global Forecast System (GFS) data and the forecast was generated on an hourly basis. The forecasted rainfall at hobli level (Bangalore has 34 hobli divisions with an area of each hobli of the order of about 10 km2) was evaluated.

Impact of land-use changes on the genesis and evolution of extreme rainfall event: a case s

Theoretical and Applied Climatology

This study is about the impact assessment of different land-use data sets on the simulation of an Extreme Rainfall Event (ERE) which is one of the unusually rare events that occurred between 14th to 18th of June 2013 over Uttarakhand in India. In this work, high-resolution (2-km), time ensemble simulations are carried out using Weather Research and Forecasting model (WRFV3.5) with a 3-nest configuration.