Thimmidi Lakshmi Prasanna

Thimmidi Lakshmi Prasanna                                                     ( : +91-8978926266

* Email: pressi.lakshmi@gmail.com
Professional Summary:
Ø  Proficiency in creating Geoprocessing (GP) tools using Model builder, Python Scripts and publishing as GP service on web server.

Ø  Developing various Map Services (Image, Feature, Tile) and publishing on ArcGIS Server.

Ø  Developing scripts using python to integrate GIS with external applications.

Ø  Developed tool using python script for generating print PDF file for selected plot (polygon) along with surrounding details (amenities, facilities and neighbouring plots).

Ø  Developed python script to convert drawing file and update existing SDE dataset (online) so that same is been viewed instantly by different users.

Ø  Developing web application using Map Services and ESRI ArcGIS Web APP Builder.

Ø  Hands on experience in working with custom widgets in ArcGIS Web APP Builder.

Ø  Hands on experience in working with Mobile Applications like Collector For ArcGIS, Survey 123, Work force For ArcGIS.

Ø  Hands on experience in working with ArcGIS server & portal Administration (Content sharing, Groups, roles & users).

Ø  Working experience in ArcGIS Pro & Arc scene for handling 3D data.

Ø  Creating cached web map service and publishes on the ArcGIS Server.

Ø  Creating & working with Enterprise level Geodatabase, configuring roles, and users

Ø  Developed python script program to synch the data between to different applications.

Ø  Working experience in ArcGIS Desktop add-ins like Arc hydro tools, Landsat 8 Image Service Add-In Tools etc.

Ø  Working Experience in working with ArcGIS online, Drone2map, Insights, Operation dashboard, Story maps.

Ø  Hands on experience in creating maps, updating data using ESRI Softwares

Ø  Trouble Shooting the applications and providing resolution on various ESRI Products.

Ø  Expertise in working with Microwave Remote Sensing Data and Radar Data Analysis.

Ø  Hands on in working with RISAT-1 data and SAR (Synthetic Aperture Radar) data.

Ø  Experience in working with Satellite Imageries processing, Classifications.

Ø  Excellent communication, interpersonal, research/analysis, organizational and leadership skills. Quick learner, versatile, adaptable and process-oriented with a high customer orientation.

 

Employment Profile:
§  Working as Associate Analyst at ESRI India from August 2015 to till date. During this period, I have given Technical support on ArcGIS Products to various clients.

§  Provided Technical Trainings on ArcGIS Products to Government & Private organizations.

§  Conducted & Participated in Various Workshops and International Conferences.

 

Technical Skills:
·        Operating Systems                                 :         Windows Family, Linux

 

·        GIS/Image Processing Software              :         ArcGIS Products, ENVI, ERDAS

 

·        Programming Languages                        :         C, Python, IDL

·       Database                                                :         Oracle, Postgres

 

Achievements:
v  Received Pat on the Back awards for high productivity, High Quality Standards and Process innovation, technical guidance.

 

v  Received Valuable Team Player Award in ESRI Conference.

 

v  Participated and presented various ArcGIS Technologies in ESRI India User conferences 2016 & 2017.

 

v  Participated and Demonstrated at Geospatial World Forum held in Hyderabad 2017 & 2018.

v  Received Merit Scholarship while pursuing Master’s Degree.

 

Academic Qualifications:
Ø  M.Tech Remote Sensing from Andhra University, Vishakhapatnam

 

Ø  B. Tech in Electronics and Communication from V.K.R., V.N.B, Engineering College, Gudivada.

 

Ø  Intermediate from Board of Intermediate.

 

Ø  SSC from Board of Secondary Education in the year of 2006.

 

 

Projects:
M.TECH

 

TITLE: M-delta Decomposition of Hybrid Dual-Polarimetric RISAT-1 SAR Data

Abstract: Scattering decomposition of polarimetric SAR data is essential to understand the predominant scattering type from a single or averaged resolution cell. For a given transmission polarization, the four element Stokes vector captures all of the information inherent to dual-polarized backscattered signals. The M-delta decomposition of hybrid dual polarimetric SAR data of RISAT-1 by deriving the Stokes parameters.

SAR with Hybrid– polarity (CL-pol) architecture transmitting circular polarization and receiving two orthogonal mutually coherent polarizations, which is one demonstration of compact polarimetry enable larger swath coverage, reduced PRF and SAR system complexity as compared to fully polarimetric systems. The first CL Space-borne SAR in Earth Observation orbit is India’s Radar Imaging Satellite (RISAT-1). The ‘M- δ’ decomposition method is applied on cFRS-1 SLC data to generate scattering type RGB image where blue indicates single bounce (and Bragg) backscattering, Red corresponds to double-bounce and Green represents the randomly polarized constituent or volume scattering.

 

Software used: C, ENVI, ERDAS IMAGINE

 

Operating system used: Red Hat Linux

 

Work location: Under the guidance of Mr. A.V.V.Prasad and his team in National Remote Sensing Centre.

 

Roles Responsibilities:
·        Developed a code to decompose RISAT-1 satellite Image.

·        Developed a code in C program using Linux as a platform.

·        Involved in Analysis, Requirement gathering and Designing the flow.

·        Maintain documentation for the Project.

 

B.TECH
TITLE : Parallel model for noise reduction using smoothening filter and image
Abstract: Image Enhancement is the art of examining images for identifying objects and judging their significance. e. The aim of image enhancement is to improve the interpretability or

perception of information in images for human viewers, or to provide `better’ input for other automated image processing techniques. Smoothing is often used to reduce noise within an image or to produce a less pixilated image. This project is a new idea for enhancement of an image using smoothing filters and the image noise is mostly unwanted and manifested in the pixels of an image and the main application of image averaging is noise removal.

My Role           : Project leader

Software used: MATLAB

Operating system used: Windows

Personal Details:

Father’s Name                      :         T. Subba Rao

 

Marital Status                      :         Single

 

Nationality                           :         Indian

 

Address                               :         D.no -8/248

Sri Ram Puram, Gudivada –521301.

 

 

Thimmidi Lakshmi Prasanna

Education

2013

M.Tech at Andhra University

Experience

2015

Associate Analyst at Esri India

  • Updated 3 weeks ago

To contact this candidate email pressi.lakshmi@gmail.com

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