D

data analysis

A personal project to advance my career in data science as a whole.

my solutions from courses on https://practicum.yandex.ru

Companion repository to the paper with the same title.

Tracks and heatmaps using the GPS tracks.

Analysis of Kilter Board data, along with predictive models for V-grades based on holds and angle.

Analysis of Tension Board 2 data, along with predictive models for V-grades based on holds and angle.

Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

An introduction to coding and data analysis in Python and management & publication through git and dashboards.

Finds properties of Greenland fjords (e.g., length, width, bathymetry) and aggregates these along the length of the fjord at specified intervals (e.g., 10 km). Additional raster data can be aggregated along the fjord, such as sea-ice, chlorophyll-a, or turbidity.

See a snapshot of the fjords here: https://os.zhdk.cloud.switch.ch/spi-greenfjord-public/FjordProperties/fjord_polygons.html

A modular, object-oriented notebook designed to perform deep-dive analysis on over 70 years of Formula 1® racing history. Moving beyond basic statistics, this project processes complex datasets to uncover insights into global sport expansion, circuit characteristics (including altitude), driver efficiency, and constructor dominance

Projet d’analyse du comportement des utilisateurs Instagram à partir d’un large dataset synthétique (plus d’un million d’utilisateurs).

Le projet explore :

Analyse exploratoire des données (EDA) Prédictions de variables comportementales (stress, âge, clics publicitaires, revenu) Identification de profils utilisateurs avec clustering (KMeans) Interprétation des résultats statistiques en lien avec la vie réelle

Méthodologie : visualisation, corrélations, sélection de modèles, entraînement, évaluation et interprétation.

Technologies : Python, Pandas, NumPy, Matplotlib, Scikit-learn, Jupyter.

Projet réalisé dans le cadre de la formation Développeur en Intelligence Artificielle (Simplon).

Simulation set-ups and analysis scripts for the BINGO experiment

This projects exposes the modern form of slavery in capitalism, and this was achieved using employee satisfaction data, it has come to the conclusion that the best members with low social skills are rewared with more work

Praktisi Mengajar Teknik Informatika Universitas Nusa Putra 2024

Project for E-commerce. Product analysis, cohort analysis, RFM analysis in Python.