I recently completed my post-graduation in Artificial Intelligence, Machine Learning, and Deep Learning from Coimbatore Institute of Technology (5-year integrated degree). With a strong foundation in data analysis, programming, and statistical modeling, I am currently working as a Data Scientist, engaging in various exciting projects in the e-commerce domain.

Throughout my academic journey, I have gained expertise in various ML algorithms, neural networks, natural language processing, and computer vision. I thrive on exploring innovative solutions and leveraging data-driven insights to optimize processes, enhance decision-making, and drive business growth.

• 🎙️ Text-to-Speech Model with Six Emotions

  • Developed a TTS model to generate speech with six emotions: happiness, sadness, anger, fear, surprise, and neutral.
  • Collected and labeled a dataset of over 1200 sentences manually.
  • Classified short story sentences into six emotions using BERT and Logistic Regression.
  • Converted text to speech with emotion using deep fake audio, achieving a higher accuracy of 65.7%.

• 🖼️ Image Caption Generator

  • Created a system to describe images using their objects.
  • Utilized the pre-trained VGG16 model for feature extraction on the Flickr 30k dataset.
  • Employed LSTM to generate captions, achieving an accuracy of 95.7%.

• 🌡️ Meta-Learning for Temperature Forecasting

  • Designed a statistical model to forecast temperature and optimized hyperparameters using meta-heuristic algorithms.
  • Employed ARIMA for time series forecasting with a large dataset of 1 lakh+ records.
  • Optimized ARIMA hyperparameters using PSO, GA, and a hybrid PSO-GA algorithm, with the hybrid approach achieving the best accuracy.

• 📚 Tkinter Library Management System

  • Developed a user-friendly library management system using Python and MySQL.
  • Implemented functionalities such as adding, deleting, issuing, and returning books through student and faculty portals.

Dec 2023 - Present

• Developed and optimized complementary recommendation systems for various categories to increase click-through rates (CTR) over time.
• Implemented multiple approaches, including a similarity-based approach using bought-bought data and LLM-based similarity search.
• Designed recommendation strategies for non-logged-in users utilizing indirect and external data sources such as location and device type.

I am actively seeking opportunities to contribute to cutting-edge projects in ML and DL, where I can work with a talented team to tackle complex problems and make a meaningful impact. I am eager to collaborate with industry professionals and continuously learn and grow in this ever-evolving field.

Feel free to reach out to me for collaboration, networking, or just a friendly chat about AI, ML, and DL!