Master of science focused on computer science from CEG Anna university. enthusiastic in AI/ML/DL/NLP
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Assessing your cultural and operational fit
disappeartext-backend
February 19, 2021 – February 19, 2021
disappeartext-backend — GitHub repository
View Projectdisappeart-frontend
February 19, 2021 – February 19, 2021
disappeart-frontend — GitHub repository
View Projectchatapp_reactjs_nodejs
September 25, 2019 – March 1, 2023
chatapp_reactjs_nodejs — GitHub repository
View ProjectEmployee_management_django_restapi
September 16, 2019 – September 16, 2019
Employee_management_django_restapi — GitHub repository
View Projectchatapp_Django_restapi_python
September 11, 2019 – December 8, 2022
chatapp_Django_restapi_python — GitHub repository
View ProjectDjango-python
July 27, 2019 – June 10, 2021
simple Implement the Django framework using python,CSS,HTML, ,Api .
View ProjectMachine-Learning-MATLAB-
July 27, 2019 – July 27, 2019
Machine Learning In Tensor Flow And Scikit Learn in &MATLAB Implementation of Analomy Detection and Recommand system
View ProjectAlgo_DataStructure_Python
June 9, 2019 – September 24, 2019
They are important because, they are what you do after you've become a computer scientist. Without,data structures and algorithms, you will be only a monkey coder. so problem in data structure algorithm in pyhton
View ProjectML-phython-scikit_learn-tensor_flow-
May 13, 2019 – May 16, 2019
Hands on Machine learning in tensor flow and scikit learn book excersice solution and practice. The data used is US housing board and the code contain like train and find best fit mode by apply like linear regression, random search, cross validation using pipeline and tranform and visulaize the data .regression task, predicting housing values, using various algorithms such as Linear Regression, Decision Trees, and Random Forests.
View ProjectAI_study_materials
May 11, 2019 – May 24, 2019
This contain all the materials include Artificial intelligence ,deep learing,sql,Neural networks and Phyton notes
View ProjectCultural Fit Analysis
The candidate shows a proactive learning attitude through numerous personal projects across different domains (web development, data science, algorithms). This indicates a self-starter mentality which can be a good cultural fit for dynamic environments. The diversity of projects, from full-stack development to machine learning, suggests a broad interest in technology. However, the depth of engagement in each area is not fully clear from the descriptions alone. The target role is Data Scientist, and several projects align with this, showing a focused interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.