Krips Javiya

Enhanced Odoo’s core Python backend framework by customizing HTML field behavior during XLSX file imports, streamlining data ingestion, and ensuring high-fidelity mapping across modules.

Developed and integrated a Naive Bayes-based Predictive Lead Scoring (PLS) system within the CRM module, estimating the probability of lead conversion based on historical won/lost data.

Collaborated across backend and data teams to ensure seamless integration of the ML system into Odoo’s modular CRM pipeline, enabling AI-driven prioritization of leads for business users.

Preprocessing of complex EEG datasets using Python, MNE library, and ML techniques, implementing data cleaning methods and quality checks that improve accuracy by 25% for brain signal analysis.

Built and optimized neural network models for EEG data analysis through iterative testing and refinement, working closely with research teams to reduce the processing time by 40% while increasing overall data accuracy by 25%.

Contributed to an ERP system to streamline research operations, enabling efficient data tracking and collaboration among team members during the research project lifecycle.