Kaisha Melckzedek Kirya

Kaisha Melckzedek Kirya

@Melckykaisha

Data Scientist · AI/ML Engineer · Developer ·Applied Researcher

7
Followers
6
Following
26
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 26 owned repositories

14.2M Total LOC
Jupyter Notebook
13,029,801 lines
92.0%
N/A
TypeScript
707,593 lines
5.0%
N/A
Python
162,089 lines
1.1%
N/A
HTML
104,279 lines
0.7%
N/A
JavaScript
61,078 lines
0.4%
N/A
Other
105,262 lines
0.7%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook
TypeScript
Python
HTML
JavaScript

Collaboration Network

Global Impact visualization

LIVE
Kaisha Melckzedek Kirya
0 active collaborators

Repos

26

PRs

0

Growth

+18%

Top Collaborators

No collaborator data yet.

Coding Streak

Contribution activity over the past year

3 days
194
Contributions
121
Commits
0
Pull Requests
Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun
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Top Repositories

synthetic-data-generation-demo

Interactive demonstration of synthetic data generation using GANs and VAEs with statistical comparison

4 0
JavaScript
Dharura_Ai

Real-time AI-powered emergency reporting system for Kenya. Citizens geo-tag incidents, an AI risk engine scores severity, and responders get live WebSocket alerts via a command dashboard. Built with NestJS, Next.js, React-Leaflet, Prisma, and Supabase.

3 0
TypeScript
To_Do_App

A collaborative full-stack To-Do list app using HTML, CSS, JavaScript, Express.js, and Firestore.

3 1
HTML
Facial_Expression_Recognition

🧠 Facial Expression Recognition CNN Model This project implements a Convolutional Neural Network (CNN) for automatic facial expression recognition using the FER-2013 dataset. The model classifies facial images into seven human emotion categories: Angry, Disgust, Fear, Happy, Sad, Surprise, and Neutral.

2 0
Jupyter Notebook
Movie_recommender_system

A collaborative mini-project that implements a **content-based recommender system** for movies. The system uses **TF-IDF vectorization** (and optionally embeddings) to build item profiles from movie metadata (e.g., plot summaries, genres, or tags) and recommends similar movies based on **cosine similarity**.

2 0
Jupyter Notebook
Hybrid_Movie_Recommender

A hybrid movie recommender system built on the MovieLens 100K dataset that combines Content-Based Filtering (TF-IDF cosine similarity) and Collaborative Filtering (SVD matrix factorization) into a weighted ensemble model. The project spans a full ML pipeline — from EDA and model training in a Google Colab notebook to a dark-themed Streamlit web app

1 0
Jupyter Notebook
Weather_Forcust_Kenya_DL_Models_Auth

Deep learning system for hyper-local weather forecasting across all 47 Kenya counties. Trains and compares LSTM, GRU & ConvLSTM models on 10 years of historical meteorological data. Interactive 7-day forecast map built with Streamlit & Folium.

1 0
Python
Emotion_classifier_CNN

CNN-based deep learning model for classifying emotions from text into 6 categories (joy, sadness, anger, fear, surprise, love). Built with TensorFlow & Streamlit. Final year BSc Data Science project — Meru University of Science and Technology.

1 0
Jupyter Notebook
ujuzi-ai-kenya
1 0
TypeScript
personal-website-generator
1 0
JavaScript

Open Source Impact

Contributions to external projects

0 merged PRs

No external contributions found.