Agriculture Data Science
Resume:
JANANI B
Mobile No:812-***-****.
E-mail: ****************@*****.*** .
CARRER OBJECTIVE :
To work in a Challenging Position, Responsible carrer opportunity in a reputable organization to fully utilize my training and learning Skills which also provide opportunity to exhibit my creativity and act as a Platform for Continuous Learning, exposure and development of my technical as well as Interpersonal Skills.
ACAEMIC CREDENTIALS :
Passing Year
Qualification
Institution
Percentage
2021
M.C.A
Vel Tech High Tech Engineering College.
75%.
2019
B.C.A
Annai violet Arts & Science College.
62%.
TECHNICAL SKILLS :
Programming Language
Python, C++, HTML,CSS.
Framework
Django, Flask, CherryPy.
Libraries known
Pandas, Numpy, Matplotlib.
Tools Known
Pycharm, Jupyternotebook, Ms-Office.
Operating System
Linux, Windows.
ACADEMIC PROJECT :
TITLE
A Smart Agriculture Framework for forecasting crop yield using deep reinforcement.
DESCRIPTION:
Agriculture is the way of predicting crop yield based on the environmental, soil, water and crop parameters.
Deep-Learning based models are broadly used to extract Significant crop Features.
Crop yield prediction problem there exist, Unable to create a direct non-linear or linear mapping between the raw data and crop yield values and the performance of those models highly relies on the quality of the extracted features.
Artificial Intelligence as a main objective for developing the framework for Agriculture.
Support vector machine (SVM) algorithm.
In Existing system they made some trials but it doesn’t gave any favourable results.
System which is proposed here is used to train the algorithm and implement the task on its own.
Lists of journal papers are taken regarding Agriculture:
1. Design and Implementation of crop yield Prediction Model in Agriculture.
2. Predicting Rice Yield for Bangladesh by exploiting Weather Condition.
3. Smart Farming become even smarter with Deep learning a Bibliographical Analysis.
4. Bitter Melon crop yield prediction using Machine Learning Algorithm.
5. Groundnut crop yield prediction using Machine Learning.
6. A Model For Prediction of Crop Yield.
underwent some tasks on
Year wise production on different crops.
Production of Crop analysis.
Cost of cultivation and production.
State wise cultivation and production.
State wise yield.
Crop wise yield.
Number of crops in India.
Production of Crop Yield among State Wise,
Year wise and
Total number of crops is predicted under the circumstances.
Future work is mainly based on, improving Speed,Accuracy and providing guidance to improve production.
Comparing the yield process by using different framework and farmer can project their new ideas across the country.
AWARDS & ACHIEVEMENTS:
Attended Course on Python for begineers on Telusko.
Attended Course on Data Science Method on Cognitive Class.
Attended Implant Training on Python Development at Re-Tech Solution for P.G.
Participated and won 1st in Model Presentation at Annai Violet Arts & Science College.
Participated on National Level Technical Symposium at Dr. MGR Educational Research Institution.
CERTFICATIONS:
Got certified on python for Data Science in IBM.
Course done on E-Commerce and Specialized in E-Commerce(Security).
Courses Attended on Typewriting and got certified on both English and Tamil in Senior Grade.
Participated on Intensive Employability Skills Program.
Attended Internship Training on Academic Project for P.G Programme.
SKILLS SUMMARY:
Typewriting at a speed of 45 Word Per Minute in both Tamil and English.
Professionalism and strong work ethics.
Team playing.
Optimistic minded.
PERSONAL TRAITS :
Father’s Name
Mr. Balaji Lal .S
Mother’s Name
Mrs. Vasanthi.
Date of Birth
07 May 1999.
Languages Known
English(Spoken, Written),
Tamil(Spoken, Written),
Hindi(Spoken).
Residential Address
No.70 D Ambedkar Nagar Moorthy Street, Thirumullaivoyal,Chennai 600 062.
Nationality
Indian.
DECLARATION :
“I hereby declare that all the information mentioned above is free from error to the best of my knowledge and I bear responsibility for any deviation from them at any later stage”.
Date: (Yours Faithfully)
Place: JANANI B
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