DaniaAmin

LlamaIndex_Groq-SQL-Agent

I developed a sophisticated AI agent using LlamaIndex, enabling SQL queries, arithmetic operations, vector search, and summarization with historical chat context. This project highlights LlamaIndex's flexibility in building advanced, context-aware AI solutions.

Advanced-Retail-Data-Analysis-using-Subqueries

In this project, I performs tasks such as identifying total orders per street per city, finding customers who have never placed an order, and comparing item prices to average prices within their respective categories. The queries also involve retrieving information about top-selling items and analyzing customer order patterns.

DaniaAmin

Departmental-Stores-Sales-Dashboard

I used Power BI to come up with insights and suggestions to help the CEO make effective decisions

License-Plate-Detection-System

This project proposes the development of an automated vehicle and license plate detection system designed to enhance surveillance, security, and monitoring operations. Using cutting-edge machine learning models and computer vision techniques, this system will accurately identify vehicles and their license plates from video feeds in real-time.

Netflix-Content-Analysis

This project provides an in-depth analysis of Netflix's top content, featuring data on weekly viewership, show runtimes, and trending shows.

PyCaret

PyCaret is an open-source, low-code machine learning library in Python that simplifies the end-to-end machine learning workflow, from data preprocessing and model training to deployment.

Python-Data-Analysis-using-Libraries-Pandas-NumPy-Matplotlib-Seaborn

Data Analysis of diabetes dataset using Python Libraries like Pandas, NumPy, Matplotlib and Seaborn.

Python-Fundamentals-Notebook-Loops-Lists-Tuples-and-Dictionaries

This Jupyter notebook, serves as a foundational guide to the essential elements of Python programming. It covers the fundamental building blocks necessary for any aspiring Python developer, including the use of for loops for iteration, lists and tuples for data storage, and dictionaries for key-value pair management.

Python-Intermediate-LambdaFunctions-ListComprehension-Map-Sets

I used Python's lambda functions for quick tasks along with list comprehensions for easy list creation. The map function is explored for applying operations to data. Lastly, sets are used for handling unique items in Python.

DaniaAmin/License-Plate-Detection-System

This project proposes the development of an automated vehicle and license plate detection system designed to enhance surveillance, security, and monitoring operations. Using cutting-edge machine learning models and computer vision techniques, this system will accurately identify vehicles and their license plates from video feeds in real-time.

DaniaAmin/LlamaIndex_Groq-SQL-Agent

I developed a sophisticated AI agent using LlamaIndex, enabling SQL queries, arithmetic operations, vector search, and summarization with historical chat context. This project highlights LlamaIndex's flexibility in building advanced, context-aware AI solutions.

DaniaAmin/PyCaret

PyCaret is an open-source, low-code machine learning library in Python that simplifies the end-to-end machine learning workflow, from data preprocessing and model training to deployment.

DaniaAmin/Python-Data-Analysis-using-Libraries-Pandas-NumPy-Matplotlib-Seaborn

Data Analysis of diabetes dataset using Python Libraries like Pandas, NumPy, Matplotlib and Seaborn.

DaniaAmin/SQL-Data-Analysis-using-Windows-Functions-and-CTEs

I leveraged several SQL techniques including window functions, common table expressions (CTEs), joins, subqueries, and ranking functions, to derive meaningful insights from the retail dataset.

DaniaAmin/Advanced-Retail-Data-Analysis-using-Subqueries

In this project, I performs tasks such as identifying total orders per street per city, finding customers who have never placed an order, and comparing item prices to average prices within their respective categories. The queries also involve retrieving information about top-selling items and analyzing customer order patterns.

DaniaAmin/SQL-Mastering-Data-Manipulation-and-Querying

In this project I leveraged SQL queries for data analysis tasks, such as identifying trends, understanding customer preferences, product popularity, sales performance and optimizing business operations.

DaniaAmin/SQL-Basics

This resource introduces the fundamentals of SQL with a focus on creating new tables and inserting records. Includes essential commands for defining table schemas, including setting unique constraints that prevent duplicate entries.

DaniaAmin/Python-Intermediate-LambdaFunctions-ListComprehension-Map-Sets

I used Python's lambda functions for quick tasks along with list comprehensions for easy list creation. The map function is explored for applying operations to data. Lastly, sets are used for handling unique items in Python.

DaniaAmin/Python-Fundamentals-Notebook-Loops-Lists-Tuples-and-Dictionaries

This Jupyter notebook, serves as a foundational guide to the essential elements of Python programming. It covers the fundamental building blocks necessary for any aspiring Python developer, including the use of for loops for iteration, lists and tuples for data storage, and dictionaries for key-value pair management.

DaniaAmin/Departmental-Stores-Sales-Dashboard

I used Power BI to come up with insights and suggestions to help the CEO make effective decisions

DaniaAmin/Netflix-Content-Analysis

This project provides an in-depth analysis of Netflix's top content, featuring data on weekly viewership, show runtimes, and trending shows.

DaniaAmin/DaniaAmin