Pratik Karnik

Data Scientist

@pratikskarnik

40
hrs / wk

$50
per hour

Employed
employment status

I have over 5 years of professional experience, specializing in Machine Learning, Data Science, Python, Deep Learning, SQL, Git, Tensorflow, Keras

Thane, Maharashtra
Last Online: Apr 17, 2024
Joined: Dec 18, 2023

Machine Learning Data Science SQL django Python

Hiring Pros?

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Biography
Projects

I have over 5 years of professional experience, specializing in programming languages such as Python, Java, and SQL. Throughout my career, I have actively utilized cutting-edge frameworks including Tensorflow, Keras, Pytorch, and Fast.ai. My expertise lies in the domains of Machine Learning, Deep Learning, Data Science, Computer Vision, NLP, Azure Databricks, and GCP.

One of my notable achievements is gaining hands-on experience with ChatGPT, a powerful language model. I have successfully applied my knowledge and skills in various projects involving ChatGPT. Additionally, I hold a postgraduate degree from Liverpool John Moores University, which has provided me with a strong academic foundation.

I am passionate about leveraging my technical expertise to tackle complex challenges and drive innovative solutions in the field of artificial intelligence. With a proven track record of delivering high-quality results, I am always eager to expand my knowledge and stay up-to-date with the latest advancements in the industry.

If you're looking for a dedicated professional who excels in programming, machine learning, and data-driven problem-solving, I would be thrilled to contribute my skills and experiences to your team or organization.

GitHub Contributions

https://github.com/pratikskarnik's Contributions

Projects

🌐 Language Intelligence Platform using Python, Flask, and OpenAI ✨ Developed a robust Language Intelligence Platform using Python and Flask, integrated with OpenAI for advanced natural language processing capabilities.

📂 Key Features: User Authentication: Implemented secure user sign-up and login functionalities using MySQL database for storing user information. Document Handling: Enabled users to upload documents with a focus on PDF files. Utilized PyPDFLoader for document loading and OpenAI for embeddings. Document Processing: Implemented a character-based text splitter for efficient document processing, with support for large documents. Vectorization: Utilized FAISS for vectorization and storage of document embeddings, optimizing retrieval speed. Query Processing: Developed a Retrieval-based Question Answering (QA) system using OpenAI's language model, allowing users to process queries against uploaded documents. Session Management: Implemented user session management for a seamless and secure user experience. 🔒 Security Measures:

Implemented secure password storage using hashed passwords in the database. Ensured secure API key management for OpenAI integration. Secured document uploads and processing to prevent unauthorized access. ⚙️ Tech Stack:

Backend: Python, Flask Databases: MySQL for user data storage NLP Services: OpenAI for language understanding Document Processing: PyPDFLoader, CharacterTextSplitter Vectorization: FAISS for efficient document retrieval 🌐 Deployment: Deployed the application on a local server for seamless interaction. Users can access the platform through a user-friendly web interface.