Yokesh P
AI and Data Analysis Consultant
Kompetenzen

Meine Dienstleistungen

Portfolio
Arbeitserfahrung
AI & Data Consultant
Deloitte
Mar 2026 - Present • 2 mos
Working as a Technology Consultant at Deloitte, delivering AI and cloud engineering solutions for enterprise clients. Key project: Equity Research Assistant • Designed and implemented an 8-layer AWS cloud architecture for an AI-powered financial research automation system • Built an AI agent using LangGraph StateGraph to automatically read, analyze, and summarize equity research documents • Integrated AWS services including Lambda, EventBridge, Glue, S3, Aurora PostgreSQL, and EKS • Developed FastAPI REST API backend with role-based access control (RBAC) and Azure AD Single Sign-On • Connected external data sources via Microsoft Graph API (Teams, Outlook) and AlphaSense financial data API • Configured RBAC with Azure Active Directory groups and application roles for secure multi-user access • Implemented observability and monitoring using AWS CloudWatch and AI guardrails
Data Scientist
Tata Consultancy Services
Dec 2021 - Feb 2026 • 4 yrs 2 mos
Developed machine learning-based recommendation systems with a improvement in recommendation coverage using ALS, Matrix Factorization approximation techniques. Implemented and optimized collaborative and content filtering models to enhance product and offer recommendations. Utilized advanced tools and technologies, including GCP, Hadoop Cluster, Docker, Cloudera DS Workbench, BigQuery, Spark, and Airflow, for scalable and robust solutions. Conducted extensive Exploratory Data Analysis (EDA), identifying insights and trends across logistics and e-commerce datasets. Streamlined data pipelines and model deployment through CI/CD pipelines for production-grade recommendation systems. Collaborated with cross-functional teams to solve data sparsity issues and optimize computational efficiency for real-time recommendations. Published and documented experiments, gaining deep insights into state-of-the-art recommendation techniques for large-scale systems.