A Python package to facilitate research on building and evaluating automated scoring models.

Lightning fast web service for machine learning model scoring

Implementation of the paper - "SKIPFLOW: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring"

Credit scoring modeling toolbox based on R

Développer un modèle de scoring de la probabilité de défaut de paiement du client pour étayer la décision d'accorder ou non un prêt à un client potentiel.

SAS Professional Certificate in Statistical Business Analyst using SAS

New business logic for maintaining marketing content score

This is a service written in node js which calculates fantasy points/scores for a match. The industry of fantasy gaming in India is moving at a great pace where you can continuously find new apps promoting and catering to fantasy gaming (especially cricket) for its audience. With the boom which seems never-ending, I thought of an idea to have a …

Rust-based implementation of H2O mojo

Pre-trained models for the crisprScore package

This project transforms raw e-commerce event data into a visitor-level machine learning system that predicts purchase intent, identifies high-intent visitors, supports campaign prioritization, monitors model and business health, and demonstrates production-style deployment using Docker, Prometheus, Grafana, Kubernetes and Helm.

A program for allowing users to perform a deep analysis on any VEX Robotics Competition, with a list of competition "PowerScores" that accurately reflect a team's contribution to the games they played.

Karpathy's autoresearch loop, adapted for SaaS scoring models. Version-controlled weights, append-only experiment journals, GTM-native evaluation metrics.

Since 2019, there has been ongoing competition on Kaggle for developing automated feedback tools, with the most recent competition taking place in 2022, just before OpenAI announces ChatGPT. This chatbot is to create an automated feedback tools - speech recognition for english learners

determine best time to use the washing machine ;-)

Resource Identification System finds the best-fit resources for a given project requirements. Scoring model has been used to find best-fit. It particularly matches all the project requirements with what employees possess.

This competition required us to reason like an experienced software engineer evaluating technical debt, which is where LLM code understanding capabilities are essential.

Business analytics project using Vivino consumer data to support Italian wine region and producer-candidate pre-selection through data cleaning, value-for-money analysis, sensitivity checks, and transparent scoring.

To modernize traditional scoring model using machine learning.

Optimize SaaS GTM scoring models with Karpathy-style autoresearch loops for faster testing, better retention signals, and account-level insights