Full Project Details



Software & Web Development Projects



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A Music Show/Venue Bookings Application (Flask)

This a complete full stack application that runs on python flask used to book music shows and venues.It allows for artists to search for available venues in a given location and allows venues to publish up coming shows for users. It is enabled by a python backend running complex data management using advanced SQLAlchemy ORM and data relationships Project link to be made available soon

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Production Ready Real-Estate Application (React, Django, Nginx)

This is a complete real-estate listings application solution made of multiple web services tied together with docker compose. It Comprises of an API backend service, built with Django REST-Framework (DRF) and Celery. A React client app and Nginx. Equipped with functionalities such as: multi-user management, security implementations, and distributed databases. Allowing authorized realtors to sign up and publish property listings, allowing for full management also user registration and authentication for users who intend to buy or rent listed properties on the platform.

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Development of Event-Driven Microservices Using Celery, RabbitMQ and Redis

Ability to build microservices that are event-driven, utilizing message brokers such as rabbitMQ. Built on docker and using multiple python services like Django, Flask or FastAPI. Making of use of various types of RabbitMQ exchange methods and design patterns such as: work-queue-pattern: using competing consumers, publisher/subscriber patterns using fan-out exchange types, message routing with direct and topic exchange types, also the request-reply design pattern

Code Samples
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Inventory Management/ Online Store Microservice Architecture

A products and inventory management microservice architecture using FastAPI and Redis. Consisting of an inventory management microservice and an order/payment microservice. These services communicate with events, implemented with Redis streams.

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A Customer Intelligence & Analytics Data Platform (Django)

This solution is a comprehensive customer and product analytics data platform I developed and designed as an enterprise solution. It provides rich, real-time, and on-demand insights about customers using enriched customer data. Equipped with machine learning, A.I and analytical capabilities, the customer intelligence suite provides on-demand actionable insights that guide strategic decisions.The data platform houses several analytic models fueled by enriched customer data and easy to understand reports.

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An Enterprise Electronic Document Management Solution (Flask and React)

Document Intelligence is an Enterprise Electronic Document Management Solution, designed and built using Python and Microsoft Azure services (Azure cognitive search, Azure form recognizer, Azure storage, Azure SQL database ). The intelligent document management solution manages user documents of different formats and tracks document processing activities whilst providing central storage and access. Capable of automated document content extraction, intelligent document search features and more using Azure AI cognitive services. This provides secure and easy document storage and access from centralized cloud storage containers, allowing for easy document retrieval using searchable meta-data and user defined tags.

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A Central Business Intelligence Suite & Enterprise Data Management Solution

Enterprises run various business intelligence processes on various BI platforms like PowerBI and Tableau having numerous dashboards and reports speaking to the different business needs. Accessing these published reports on different platforms can be a tedious task for business users who need quick access to these reports on a daily. DataConnect is a platform I designed to address this challenge. This is a business application that allows users to integrate and centralize all published reports form diverse BI platforms like PowerBI service or Tableau, which provides a single source of access for users. It also allows for other business document storage and access which could serve as a data library where business documents can be made easily accessible to users

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Responsive & Interactive Web Interface Design (HTML. CSS, JS)

Website UI design for a property sales company. A fully responsive and interactive website UI design designed from scratch using pure HTML, CSS and Vanilla JavaScript.

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An Online Discussion Forum (Social Networking Platform)

This is a test social networking /community-based space and platform, where users can find and contribute to topics and discussions that interests them, sharing knowledge and networking with one another. it is a platform that allows users to set up discussion rooms around topic of interests. This was built on python django framework, equipped with full functionalities of an online social networking platform.

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Fully Functional E-Commerce Platform

This is a fully functional e-commerce platform with full features enabling both authenticated user and guest user shopping functionalities. Allowing users to create orders, add and remove items from a cart, checkout and make payments. Built with Python Django, JavaScript and other web related technologies.

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Social-Media Analytics / Brand Management Solution

This is a social media analytics tool, that fetches data from social media channels (Facebook, Twitter, Instagram, LinkedIn, and Blogs) about a brand an measures the society's perception of the brand by analyzing sentiments of the different posts/ comments sent by the customers. This application was built with Python. It is equipped with some web scrapping and database interacting agents. The data is scrapped from the web, and stored in a database then the application retrieves the data and displays needed information to the user

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Social Network Backend API (FastAPI & PostgreSQl)

APIs are the backbone of modern applications and web services. This is a social media like API Infrastructure, developed using Python FastAPI and postgresql database utilizing best API development practices such as: user authentication, custom data responses, data validation, integration with data management systems etc. Which allows users to signup, login and to fetch, update, create, delete and like social media like posts.

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DataScience & Machine Learning Projects



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Fraud Anomaly Detection & Analysis Using PCA and Auto-encoders

Fraud classification system through anomaly detection using PCA and Auto-encoders

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Customer Spend Analysis (Exploratory Data Analysis)

Exploratory data analysis to understand and analyze customer spend patterns across several stores and merchants

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Data Analysis and Business Intelligence (Power BI)

With Extensive knowledge of the powerful Business Intelligence tool (PowerBI), I am able to carry out various types of analysis on data from various sources: databases, web, static files, streaming data etc. PowerBI allows a wide variety of functionalities which helps with insight extraction through: data manipulation, cleaning, aggregation, and visualization.

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Data Analysis & Business Intelligence (Tableau)

With good knowledge of the powerful Business Intelligence tool (Tableau), I am also able to carry out various types of analysis on data from numerous sources. Tableau is another powerful BI tool that allows a wide variety of functionalities which also helps with insight extraction through: data manipulation, cleaning, aggregation, and visualization.

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Product Recommendation ( Machine Learning App)

With skills to turn trained machine learning models into ML powered software /web-applications, productionizing trained models I continue to push to master the art of designing and building web-based software systems powered by machine learning models to be used to address real world needs . This is book recommendation system that computes recommendation based on user profile, preferences, book ratings. The model is computed using KNearest Neighbors model where similar books based on user preference get recommended to the user. You can find the model development process clicking here. where you find the full analysis and methods

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ML classification (Machine Learning App)

SWIFT LOANS is a software that runs on machine learning algorithms built with python programming language. Haven being fed with a labeled dataset that clearly states which candidates are eligible for loans and credit facilities, and those who are not, SWIFT LOANS is equipped through machine learning to recognize, learn, and classify applicants for loan grants as either eligible or non-eligible. The application was built using python.

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