PRINCE PRIJWAL

SABIC - GEN AI

• Worked on Gen-AI Project focusing on LLM Modeling using ollama 3, contributing to the development and fine tuning of the language models for enhanced performance.
• Let the evaluation of the model's performance using various metrics to assess the accuracy and fluency of generated responses.
• Improved retrieval and response evaluation by optimizing search mechanisms and evaluating the relevance and coherence of responses to enhance overall system quality.

SABIC - SPDP

• Conducted a thorough analysis of old sales data to identify trends and patterns, providing a solid foundation for model improvement.
  • Retuned the model to accurately predict the selling prices for various regions over the upcoming required period of time, ensuring reliable and actionable forecasts.
  • Utilized a CI/CD pipeline to automate the deployment of retuned data models to the production database, ensuring seamless and consistent updates.

SABIC - AHC (WIPRO)

• Collected and preprocessed required data to reflect current business conditions and requirements.
• Fine-tuned existing models by adjusting parameters, retraining with updated datasets.
• Achieved a significant increase in model accuracy and reliability through systematic retuning.

SABIC - MRO

• Transitioned data processing and model building workflows from Radoop to In-Database Nest in RapidMiner to enhance performance and efficiency.
• Established seamless and continuous data pipelines, reducing latency in data analysis workflows.
• Optimized SQL queries and data operations for efficient in-database execution, improving query performance.
• Updated Python Script for In-Database Nest compatibility.

SABIC - MT. VERNON & EG1

• Conducted data analysis of information extracted from OSI PI for insightful decision-making
• Utilized Machine Learning algorithms to develop models for predictive analysis and optimization
• Optimized models to generate alerts based on specific requirements for efficient monitoring
• Analysed model outputs, fine-tuned them to meet desired outcomes, and adjusted for moving an important related metric.

• Implemented Python scripts for automating data processing tasks, improving efficiency in data analysis procedures
• Utilized SQL queries to extract and manipulate data from databases, contributing to streamlined data retrieval processes
• Collaborated with team members to develop and deploy innovative solutions using Python and SQL technologies