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Vivekanand-R/README.md

Vivek

10+ years of global experience delivering data-driven solutions across Healthcare, Finance, Energy, and IT services. Passionate about building intelligent systems that bridge the gap between product business strategy and data science innovation.

  • Industry Experience – Overall 10 years: 8 years in Digital Technology/IT, 6 years in Healthcare Industry, 3 years in Energy, plus experience in HQ Commercial Finance.
  • Career Interest - AI Product Management and/or Commercial Product Data Analytics leadership roles.

Functional Leadership

Product Management, Commercial Finance, Market strategy development, Go-to-market planning, Global Data Regulations, Cross Functional Collaborations, Quality and Sales enablement

Technical Leadership

Artificial Intelligence

Deep Learning, : Neural Networks, Transformers, xLSTM, Convolutional Neural Networks (CNNs), GAN's

Recommenders : Sequencial Recommendations, Bert4REc, SAS4REc, Popularity Bias

Machine Learning : Supervised, Unsupervised, Linear Regression, Logistic Regression

Generative AI, LLM's : GPT-5.2, GPT-4o API's, Phi3, Nemotron.

Autonomous AI Agents:

Gemma 4/Microsoft Phi3 (Role: Research Assistant, LLM: Phi2) - Application: Research

Langchain/Nemotron, (AI Agents, Role: Finance Analyst, LLM: GPT-40) - Application: Fintech,

Nemotron/Gemma 4/Microsoft Phi3 (Role: Observability Monitor, LLM: Phi2) - Application: Observability

Cloud Platforms:

Amazon Web Server AWS :- Data Lake, S3, Athena, Redshift, Sagemaker, RDS

Microsoft Azure :- Azure- Virtual Machines, Databricks

Google Cloud Platform :- Colab Notebooks/A100 GPU/Google Analytics/Adwords/Vertex AI/Data Lake

BI & Visualization:

Tableau/Salesforce - LOD expressions, live and extract, Big Data Wrangling, Calculative Fields, Tooltips, Complex Joinings, custom SQL, context filters and data source filters

Spotfire - Information Links, AI Models, SQL, Complex Joins, Big Data, custom expressions using TERR

Kibana - KQL (Kibana Query Language), Rule Alerts, Anomoly Detections Jobs, indexing strategies.

Power BI - Big Data Hostings, DAX

Microsoft Excel - Power Pivot, logical constructs, dynamic array functions, data models using Power Pivot, conditional formatting and data validation rules

Databases: Teradata, Oracle, RedShift, Greenplum, Athena, PostgreSQL, SQLite-Local Computations

Programming: Python, R, SQL, VBA, HTML, Visual Basic, C# Basics

CI/CD & Automation: AWS Code Pipeline, Rally, Python Automation, Excel Macros

Enterprise Systems: Oracle, SAP, Hyperion, Workday, Salesforce, Support Central


Languages

  • English – Fluent
  • Tamil – Native Speaker
  • German - Beginner (A2.1)


Currently driven to create advanced analytics and intelligent systems that transform product big data into actionable business product insights.

Pinned Loading

  1. Enterprise-AI-Agents Enterprise-AI-Agents Public

    Agentic Cloud Ops | Agentic Automation | Agentic Scheduling | Agent Orchestration | Foundational Models | Agentic Foundations | Cloud Technologies

    Python

  2. Recommender-System Recommender-System Public

    Core Value: Exploring diverse recommender algorithms to design and deliver a customizable, and to develop/explore new recommendation models.

    Jupyter Notebook

  3. AI-Models AI-Models Public

    From Theoretical Concepts to Foundational Models – AI Products, Training, Fine-Tuning, Research Papers, Experiments, MLOps, and Applications

    Jupyter Notebook

  4. AI-Product-Framework AI-Product-Framework Public

    Core Value: To Build the Strong Foundations Of Knowledge, Growth, Create Value, Drive Strategy, and Empower.

  5. Github-Analytics Github-Analytics Public

    Interactive Webapp/User Interface for Secure Hosting

    TypeScript