Shashi Kiran Chandrappa

Developed a feasibility analysis metric for Generative AI, Machine Learning, and automation solutions, improving implementation viability assessment accuracy by 8% and enhancing business impact evaluation. Developed and optimized generative AI models (Llama, GPT, Mixtral) inference and finetuning with LoRA and QLoRA, significantly enhancing language model performance and cutting costs by transitioning to open-source alternatives, Mixtral and Llama.

Improved sales transference forecasting by 13% and optimized product layout efficiency by 10% through enhanced market basket analysis and customer behavior insights. Enhanced sales forecast accuracy by 12% (~84%) using customer sentiment analysis and automated real-time reporting with GCP and DOMO, cutting report generation time by 25%.

Increased sentiment analysis accuracy by 8% with a multiclass LSTM (Long Short-Term Memory) model and automated text extraction, cutting manual processing time by 25%. Reduced delivery lead times by 15% through predictive regression models and Tableau analysis, enhancing supply chain efficiency and collaboration by leading a team of 6, managing the weekly sprints progress and maintaining QC.

Addressed supply chain challenges by collecting and analyzing data with Tableau and PowerBI, provided feedback on project risks and resource needs, and collaborated with cross-departmental leads to improve policies and standards, resulting in more efficient operations