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Hi 👋, I'm Akish Pothuri

A passionate Data Scientist from India

coding

Connect with me:

pothuriakish

Skills:

  • Machine Learning Algorithms: Supervised, Unsupervised, Reinforcement Algorithms and Time Series
  • NLP Algorithms: RNN, LSTM, GRU
  • MLOps
  • Statistics
  • python libraries: NumPy, Panda, Matplotlib, Seaborn, Scikit and Keras
  • Generative AI: GPT, BERT, Vector Database, Word Embedding, Transformer,Lang Chain,AWS Bed Rock,Azure AI Studio.
  • GIT
  • Docker
  • CI/CD Pipeline

Area Of Expertise:

  • Skilled at collecting, cleaning, and analyzing data to build effective machine learning models.
  • Proficient in using advanced statistical analysis and modelling techniques to uncover insights from large datasets.
  • Capable of creating impactful visualizations that clearly communicate findings to stakeholders.
  • Experienced in developing chatbots with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to enhance user interactions.
  • Adept at designing and implementing innovative solutions using Machine Learning, Natural Language Processing (NLP), and Artificial Intelligence (AI).
  • Familiar with building and deploying machine learning pipelines using AWS SageMaker for scalable and efficient solutions.
  • Skilled in applying NLP techniques for tasks like text analysis, sentiment analysis, and information retrieval.
  • Experienced in Time Series Analysis, enabling accurate forecasting and predictive modeling.
  • Solid understanding of CI/CD and Docker for continuous integration and deployment.

akishpothuri

 akishpothuri

akishpothuri

akish_pothuri's Projects

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

llm-twin-course icon llm-twin-course

🤖 LLM Twin FREE Course: Building Your Production-Ready AI Replica | An End-to-End Framework for Production-Ready LLM Systems by Building Your LLM Twin | WIP...

llm-zero-to-hundred icon llm-zero-to-hundred

This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.

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