Yokesh P

@yokesh_p

AI and Data Analysis Consultant

India
Engels, Tamil
Sommige informatie wordt in het Engels weergegeven.
Over mij
I am an AI and Machine Learning specialist with expertise in data analysis, NLP, and financial analytics. I help businesses turn raw data into clear, actionable insights through professional reports and visualizations. With AI-powered analysis, I deliver fast, accurate, and easy-to-understand reports that help you make better business decisions.... Lees meer

Skills

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Yokesh P
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Bekijk mijn diensten

Data science hulp en advies
I will do ai powered data analysis
VanafUS$ 50 / projectMeer informatie

Portfolio

Werkervaring

Deloitte

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

Tata_Consultancy Services

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.