KASI VINOTH SDATA SCIENTIST
KASI VINOTH SThis web app predicts whether a company is getting Bankrupted or Not Bankrupted based on some key factors. ANN model is used with keras tuner for hyper parameter optimization
This web app can predicts the sentiment of the user about a product. The training is done based on Amazon Realme Headphones reviews. The analyzer have also been experimented with simple LSTM model.
A docker image was made for the sentiment analyzer Flask app.
Using VGG16 CNN model we use Transfer learning technique to predict whether a given image is a Cat or a Dog.
A Food suggestion algorithm was made for an Indian restaurant (250 recipes) with the help of K-means clustering technique and intensive eda analysis.
This article is a procedural guide for beginners to start deploying their ML models into Heroku web using Streamlit library.
Ever since I was in high school, I have been captivated by Mathematics and Computer Science. My fervor for programming and statistics led me to pursue Engineering in Nanotechnology, where I had the privilege to work alongside some remarkable scientists in India. Unfortunately, due to the pandemic, my plans to pursue a PhD were put on hold, and I returned to my roots in Computer Science, rekindling my passion for Data Science.
I enrolled in a comprehensive Data Science course at ExcelR institute in Bangalore, where I honed a diverse range of skills (mentioned above). Since then, I have been determined to enhance my skills and knowledge by taking various courses and continuously challenging myself. I aim to find motivation and inspiration through meaningful connections with others that push me towards achieving my goals.
As an avid lover of nanotechnology, data science, and NLP, I have spent the past few years geeking out over the latest trends and developments in these exciting fields. My internships in nanotechnology gave me a chance to work with some pretty tiny materials, but the experience was huge in terms of expanding my knowledge.
At Trell, I dove deep into the world of data and was thrilled to learn about the powerful capabilities of Advanced Excel and Python. I found myself excitedly crunching numbers and tinkering with various models in my spare time, which definitely improved my skills.
Working with ML models at AiVariant was an adventure in itself - I felt like I was in a techy sci-fi movie as I experimented with different neural networks and tackled various classification problems. It was a real thrill to work on something so cutting-edge and forward-thinking.
And now, at LeadSemantics, I'm part of a team that's focused on extracting knowledge from texts using some seriously impressive LLMs and semantic tech. I've learned so much about the value of language quality and how it can be applied to so many aspects of our lives. Our CEO has been a fantastic mentor who's encouraged me to explore different ideas and technical approaches, and it's been truly rewarding to work with and have mentored such a talented group of people.
While I take my work seriously, I also believe that having fun is important. In my free time, you can often find me getting nerdy with the latest NLP research or chatting with other professionals to learn more about their perspectives. I believe that staying curious and open-minded is key to continued growth and development in any field.
So if you're looking for someone who's enthusiastic, curious, and a little bit geeky, then look no further. I'm always eager to explore new opportunities and connect with other professionals who share my passion for data science, and NLP.