SCOR Datathon in 2020. Acquired and processed open data, predicted level of Glycohemoglobin, Cholesterol and probability of diabetes, then identified the probability change with Random Survival For…

Demonstration of experimentation analysis approach, including A/B testing, A/A testing, and quasi-experimental testing for data driven product decision making.

Python data pipeline to acquire, clean, and calculate vegetation indices from Sentinel-2 satellite image. Package is available only for our clients.

Prediction of market premiums for property damage and business interruption insurance products. Added natural hazard data and stacked 3 best models as the final model.

Launchmetrics Datathon 2020. Identified the impact of Instagram Image color property to company revenues with OpenCV using HSV and RGB color space.

Datathon with a retargeting ad company. Churn date prediction (Normalized RSME 38), clustering (98% Silhouette), automated identification of the gaps between best and average client within a cluster.

Forecast of advertisement revenue for the coming months and reserved price prediction for bidding price.

Extremely imbalanced binary classification for Travel Insurance Claim. Seeking for an improvement. Usage of Several models including Sequential Neural Network with Back Propagation, Calibration cur…

Prediction of the best answers of the questions using a scraped QA forum data, including the texts. Neural Network (linear stack of layers): Accuracy 92%, MSE 0.08