- 📫 How to reach me: https://www.medium.com/@akriti.upadhyay
- 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.
- Expertise in building RAG applications, using vector databases, and stable diffusion models.
- Hands-on experience with SingleStore Helios, Vertex AI, Azure data services, Databricks, and Git.
- Practical knowledge in 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 like 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.