Accenture
|AI/ML Computational Science Senior Analyst
Bengaluru, Karnataka, India
Summary
Led the development and deployment of AI/ML solutions, including predictive models and RAG chatbots, to drive significant operational efficiencies and enhance decision-making for aerospace and finance clients.
Highlights
Developed an XGBoost regression model to accurately forecast total revenue from long-term aerospace engine maintenance contracts, achieving an R² of approximately 0.75.
Enabled early-stage revenue visibility for multi-million-dollar contracts, significantly improving pricing accuracy and commercial planning decisions.
Triggered contract-level revenue deviation alerts through model insights, prompting timely reviews of underperforming agreements and earning the 'Star of the Business' award.
Developed 25+ financial data validation reports from scratch for a leading aircraft engine manufacturer, ensuring contract revenue accuracy through daily client engagement and KPI establishment.
Managed a 4-5 analyst reporting team across 25+ sub-services, maintaining zero client escalations and ensuring smooth delivery across multiple cycles.
Engaged with client stakeholders to onboard and stabilize maintenance planning activity, cutting Turnaround Time (TAT) by 50% through Python-based automation.
Automated manual services, saving over 3600 minutes per year with 100% accuracy, and delivered Power BI dashboards central to client governance workflows.
Developed a Retrieval-Augmented Generation (RAG) chatbot using LangChain, Hugging Face embeddings, FAISS, and Groq's LLaMA3 API, enabling natural language querying of complex semi-structured and unstructured contracts.