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Hi 👋 there,


* I'm Kirsnaragavan, I'm GOOGLE certified TensorFlow Developer and GOOGLE - CLOUD Certified Associate Cloud Engineer 

  as well as an Ambitious engineer, ready to leverage my passion and enthusiasm for data science and machine learning. 
  
  Swift learner, adept in cultivating positive relationships, and known for solid team collaborations while consistently 
  
  delivering on time and upholding high-quality standards. Skilled in optimizing and automating data-driven processes 
  
  with proven ability to adapt to new frameworks, technologies, and programming languages with ease.  
  
  

  
  TECHNICAL PROFICIENCY 
  
                                                                  Frameworks
                                                                  
                                                  |----------------------------|------------|
                                                  | Frameworks                 | Level      |
                                                  | ---------------------------| -----------|
                                                  |       TensorFlow & Keras   | Advanced   |
                                                  |----------------------------|------------|
                                                  |       PyTorch              | Advanced   |
                                                  |----------------------------|------------|
                                                  |       Flask                | Advanced   |
                                                  |----------------------------|------------|
                                                  |       Beautiful Soup       | Advanced   |
                                                  |----------------------------|------------|
                                                  
                                                             Programming Languages
                                                             
                                                  |----------------------------|------------|
                                                  | Languages                  | Level      |
                                                  | ---------------------------| -----------|
                                                  | Python(Production level)   | Advanced   |
                                                  |----------------------------|------------|
                                                  |       R                    | Advanced   |
                                                  |----------------------------|------------|
                                                  |       JavaScript           | Advanced   |
                                                  |----------------------------|------------|
                                                  |       HTML                 | Advanced   |
                                                  |----------------------------|------------|
                                                  
                                                              DataBases - Tools
                                                             
                                                  |----------------------------|------------|
                                                  | DataBases                  | Level      |
                                                  | ---------------------------| -----------|
                                                  | MySQL, Postgre-SQL         | Advanced   |
                                                  |----------------------------|------------|
                                                  |      InfluxDB & Grafana    | Advanced   |
                                                  |----------------------------|------------|
                                                  |       MongoDB              | Advanced   |
                                                  |----------------------------|------------|
                                                  

🔭 Here are some ideas to get you started:


I’m currently working on  Paper Publication for the SPIE Conference which will be held in the USA. 

And This paper is related to Camera fusion and object detection, image classification using AI techniques.




🌱  An independent and self-motivated Master’s in Mobility and Automotive Engineering focus on Artificial Intelligence.

  Right now, I’m looking for an opportunity in the real world of  Data Science. Good skills in collecting, analyzing, 

  And interpreting large datasets through Python and Machine Learning Techniques for solving key business problems. 


  Very eager to apply acquired skills in real-world cases.
      

📫💬 How to reach me, Please click the following links(Linkdin, Gmail):

Linkdin

Gmail

KrishArul26's Projects

password-strength-prediction-deployment icon password-strength-prediction-deployment

This repository, focus on password strength prediction. I have created an SVM model to classify whether password strength or medium or weak. After training the model, It has deployed on the Heroku platform.

sentiments-classifier-using-bert icon sentiments-classifier-using-bert

The process of computationally identifying and categorizing opinions expressed in a piece of text, especially to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Understanding people’s emotions is essential for businesses since customers are able to express their thoughts and feelings more openly than ever before. By automatically analysing customer feedback, from survey responses to social media conversations, brands are able to listen attentively to their customers, and tailor products and services to meet their needs.

smart-car-parking-system-using-camera-and-ultrasonic-sensor-with-computer-vision-techniques icon smart-car-parking-system-using-camera-and-ultrasonic-sensor-with-computer-vision-techniques

Home Vehicle parking system is one of the most important factors to reduce traffic and satisfy drivers. Moreover, when parking vehicles in the apartment parking place, the driver has to open the door. So, the driver has to get out of the vehicle and open it. In this project, we have created a system for an automated vehicle parking system using computer vision techniques and a Raspberry-Pi camera module and an ultrasonic sensor.

speech-to-text-using-ai icon speech-to-text-using-ai

Speech Recognition is an important feature in several applications used such as home automation, artificial intelligence, etc. This article aims to provide an introduction on how to make use of the SpeechRecognition library of Python. This is useful as it can be used on micro controllers such as Raspberry Pis with the help of an external microphone.

tensorflow_certificate_exam-prepration icon tensorflow_certificate_exam-prepration

This is repo is in development. It is used to keep resources, course references, and code examples while preparing for the TensorFlow Developer Certification exam. If the work here helps you in some way please feel free to share, fork, or star.

text-classification-dbpedia-ontology-classes-using-lstm icon text-classification-dbpedia-ontology-classes-using-lstm

Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new articles can be organized by topics, support tickets can be organized by urgency, chat conversations can be organized by language, brand mentions can be organized by sentiment, and so on.

text-generation-using-gpt2 icon text-generation-using-gpt2

GPT-2 is a pre-trained language model that can be used for various NLP tasks such as text generation, data summarization, and translation. Language models are statistical tools to predict/generate the next word(s) in a sequence based on the preceding word(s). The GPT-2 architecture is based on the Transformers concept. The Transformer provides a mechanism based on encoder-decoders to detect input-output dependencies. At every stage, the model takes the previously generated data as additional input when generating the next output. GPT-2 has outperformed other language models when it comes to generating articles based on small input content.

us-election-prediction-analysis-nlp icon us-election-prediction-analysis-nlp

According to the reports of “The New York Times”, mostly everyone has dropped out till April 2020 who was running for Presidential election and the only left ones are Donald Trump and Joe Biden now. So, I have done a small analysis for trying to predict the winner of this election.

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