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Hi there šŸ‘‹

  • šŸ”­ Iā€™m currently working as a data science intern in Intellipaat.
  • šŸŒ± Iā€™m currently pursuing PGP in Data Science and Machine Learning by MITx & Intellipaat.
  • šŸ‘Æ Iā€™m looking to collaborate on Data Science projects like Image Classification, text classification and usage of popular machine learning algorithms.
  • šŸ¤” Iā€™m looking for projects with advanced topics of Data Science, like time series, computer vision, NLP for knowing more in this.
  • šŸ“« How to reach me: https://www.kaggle.com/akritiupadhyayks
  • Expertise in machine learning, deep learning, and artificial intelligence.
  • Proficiency in Python libraries such as NumPy, Pandas, Scikit-learn, Tensorflow, PyTorch, and OpenCV.
  • Experience with business intelligence tools like Microsoft Power BI and Tableau.
  • Strong background in generative AI, computer vision, natural language processing, and large language models.
  • Hands-on experience with Azure data services, Databricks, and Git.
  • Proficient in Python, SQL, Spark, MongoDB, and Linux basics.
  • Practical knowledge in MS Excel, exploratory data analysis, data visualization, statistical analysis, and time series analysis.
  • Experience with popular algorithms like linear regression, logistic regression, decision tree, random forest, XG Boost, Light GBM and more.
  • Experience with dimensionality reduction techniques and clustering algorithms such as K Means and DBSCAN.
  • Microsoft Certified professional in Azure Data Fundamentals, Azure AI Fundamentals, and Azure Fundamentals.
  • Academy Accreditation programs in Databricks Lakehouse Fundamentals and Generative AI Fundamentals.

Akriti Upadhyay's Projects

advanced-rag-with-falkordb icon advanced-rag-with-falkordb

This repository is a practical implementation of how RAG applications can be built using Knowledge Graphs, such as Falkor DB.

machine-learning-stanford-university-coursera icon machine-learning-stanford-university-coursera

Here are the lecture materials, solutions of all the quizzes and the programming assignments of the course Machine learning taught by Andrew Ng (Stanford University) at Coursera. I have completed this course and after completing this course, I have basic understanding of machine learning. First, try the quiz and programming exercise by your own, if you stuck in there, then feel free to take help from my codes.

python-problems icon python-problems

This is a repository containing basic python problems for those who are new to python programming. These questions helps to understand the way of solving problems in python and are good for practicing.

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