25-days-dax-challenge

25 days consistency challenge in writing DAX codes used to analyse data to provide insights.

365-data-science-learning-data-challenge

This is my analysis for the learning data challenge organized by 365 Data Science.

a-scalable-database-system-for-olist-store

The aim of this project is to develop, design, and build a comprehensive and scalable database system for Olist Store to handle potential increases in data volume and allow for more efficient data collection, retrieval, and organization.

building-a-rag-system

A Retrieval Augmented Generation (RAG) system leveraging the Gemini API to answer questions on the “Leave No Context Behind” paper published by Google on April 10, 2024.

code-refactoring-and-bug-fixing-for-scribble

This project uses HTTP requests to connect with APIs or web servers for essential data tasks in data science workflows, including retrieval, submission, and updating. In this project, I utilize Python, HTML, and Flask frameworks to refactor and fix bugs identified for the Scribble app.

conversational-ai-tutor

A Conversational AI Data Science tutor, created to discuss only data-related topics and questions.

customer-analytics-preparing-data-for-modeling

What are some of the best ways to prepare a large dataset for modeling? In this project, I optimized the memory usage of the dataset to ensure that it is stored as efficiently as possible to allow models to run faster.

danny-s-diner-business-analysis

A business analysis on Danny's Diner.

data-science-learnings

Re-learning Data science fundamentals and building capacity

epl-soccer-data--an-exploratory-data-analysis-using-python

This is an exploratory analysis of the EPL soccer data for the 2018–2019 season. Using Python, I identified interesting trends to answer specific questions from the data.

fitness-tracker---redmi-fuel-band-record

An analysis of workouts by users of the Redmi Fuel band fitness tracker for the month of January

genai-app---ai-code-reviewer

Improve your Python code with GenAI! This AI-powered assistant reviews your code, identifies potential bugs, and suggests fixes to help you write cleaner, more robust applications.

hannahigboke

innomatics-internship

What interesting trends can be seen from the AMEO 2015 study? This is a comprehensive Exploratory Data Analysis of the AMEO study using Python. Come see what I found out during my analysis.

maven-toys---sales-performance-analysis.

Maven Toys, a toy company is looking to expand their business with new stores. This is a sales performance analysis focused on analyzing interesting patterns and trends in their data to help them make informed decisions.

pizza-runner-business-analysis

Using descriptive analysis to answer business questions and make recommendations to optimize Pizza Runner's operations and drive sales.

regex-matching-web-app-development

This is a Regex Matching web app that allows users to input a test string and a pattern (regular expression) to search for and displays the number of matches and all the matches found.

semantic-based-video-subtitle-search-engine

Leveraged natural language processing and machine learning techniques to enhance the relevance and accuracy of search results by building a semantic search engine.

sentiment-analysis-of-real-time-flipkart-product-reviews

Integration of a trained sentiment classification model into a Flask web app for real-time inference on product reviews from Flipkart store.