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πŸ’« About Me:

⌨️ I'm currently working on:
πŸŽ₯ Large-scale fish video analysis using computer vision and deep learning
🐟 Achieving high accuracy in species identification and length measurement
πŸ”­ Reducing manual effort by automating video processing with ML pipelines

πŸ‘₯ I'm looking to collaborate on:
πŸ”“ Open-source machine learning projects
πŸ•΅οΈ Computer vision | πŸ“– Natural language processing | πŸ“Ί Recommender systems

πŸ†˜ I'm looking for help with:
⚑ Optimizing deep learning model performance and scalability
☁️ Deployment on cloud platforms (AWS, Azure)

πŸ“š I'm currently learning:
πŸ€– Advanced deep learning (Vision Transformers, Large Language Models)
βš–οΈ Ethical and responsible AI development practices

πŸ’¬ Ask me about:
πŸ”§ Experience with data science tools (TensorFlow, PyTorch, PySpark)
πŸ›’ Real-world applications (E-commerce, Computer Vision, Customer Analytics)

⚑ Fun fact:
🧠 Despite my technical background, I have a deep fascination for philosophy
πŸ”­ Exploring societal implications of emerging technologies like AI

🌐 Socials:

LinkedIn Medium

πŸ’» Tech Stack:

Programming Languages

Python R HTML5 Markdown LaTeX Shell Script

Web Development

Django Flask FastAPI DjangoREST JWT

Cloud & DevOps

Heroku AWS Azure Google Cloud Docker Apache Airflow

Big Data

Apache Kafka Apache Spark Apache Hadoop Apache Hive APACHEKAFKA

Databases

AmazonDynamoDB Couchbase Postgres Neo4J MySQL MongoDB SQLite

Machine Learning & Data Science

scikit-learn Scipy TensorFlow PyTorch Plotly Pandas NumPy Matplotlib Keras OpenCV

Tools & Utilities

Postman Notion Canva Gimp Bitwarden Anaconda

πŸ“Š GitHub Stats:



✍️ Random Dev Quote


Pradyoth S P's Projects

backorder-prediction icon backorder-prediction

This is a Django web application that uses machine learning to predict whether a product will go on backorder or not. It uses a pre-trained Random Forest Classifier, Decision Tree and LGBM models to make predictions based on various features such as product availability, lead time, and more.

bd-pipeline icon bd-pipeline

This project involves building a big data pipeline to source, process, and visualize data. The pipeline consists of multiple steps, including data sourcing using Python, Kafka for data streaming, Apache Spark for ETL processing, and Tableau for data visualization.

customer_segmentation_clustering icon customer_segmentation_clustering

This project aims to use k-means and Agglomerative clustering to segment customers into different groups based on their characteristics and purchasing habits. The goal is to understand the similarities and differences between the customer segments, which can help inform marketing strategies and target specific groups of customers.

dv-world-energy-consumption icon dv-world-energy-consumption

The "World Energy Consumption Visualized" project uses interactive visualizations to explore the dynamic connection between global energy consumption and economic prosperity, offering insights through D3.js and Our World in Data's dataset.

openface icon openface

Face recognition with deep neural networks.

saleor-platform icon saleor-platform

All Saleor services started from a single repository with docker-compose.

song_api icon song_api

Creating Django Rest API for song, audiobook, podcast

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