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Innovative Data Leader with over 18 years of expertise in data and analytics consulting, cloud technologies, and enterprise applications. Specializing in Finance, Insurance, Wealth, Healthcare, Telco, Public, Private, and Oil & Gas (LNG), I have excelled as a Multi-Cloud Data Architect. My achievements include significant milestones in AI-ML Gen AI technical architecture, data solutions, and leadership roles, serving as DataOps lead and AI/ML practice lead.

🌐 Cloud Ecosystem Mastery:
Spanning major cloud data ecosystems—Azure, AWS, GCP, and Snowflake, as well as on-premise Cloudera—I've excelled in diverse domains like cloud computing, edge computing, digital twin, big data, machine learning, artificial intelligence, BI & Data Analytics, data engineering, and data governance.

🛠️ Agile and SAFe Excellence:
Specializing in Agile and SAFe Methodologies, I bring a proven track record of successful project delivery in a multi-vendor environment. My expertise in Multi-Cloud environments, particularly in AI, ML, Gen AI, and Edge computing, reflects a dedication to innovation and extensive experience in large-scale system design.

💡 Leadership in Cloud Solutions:
Demonstrating leadership in Cloud Solutions, DevOps Engineering, Big Data, and Data Solutions, I've played a pivotal role in end-to-end Business & IT Cloud Migration, modernization, and transformation. As a Full Stack Architect, my genuine passion for coding shines through practical experiments, showcasing innovative solutions.

🌟 End-to-End Business & IT Transformation:
Successfully overseeing the design, development, and delivery of large-scale projects, I've led initiatives on data designs, standards, and patterns, ensuring alignment across Business, Data, Application, and Technology (BDAT) within the broader Enterprise Architecture.

🔧 Proven Project Management:
Proven ability to manage enterprise-level greenfield and brownfield data modernization projects. My leadership extends to technical and design discussions, facilitating enterprises in the rapid adoption of new technologies and practices.

💻 Coding Passion:
As a Full Stack Architect, my genuine passion for coding shines through practical experiments, showcasing innovative solutions.
NOTABLE ACHIEVEMENTS
🌐 Data Architecture Excellence:
Aligned data strategies with business objectives, implementing cutting-edge technologies (Data Fabric, Data Mesh, Data Lakes, Delta Lakes, Graph Databases, Vector Databases, Data Vault) across Azure, AWS, GCP, and Snowflake. Strengthened data reliability, establishing unified sources for enhanced decision-making with robust governance for risk mitigation and regulatory compliance.

🏗️ Crafting Solution Architecture Mastery:
Demonstrated expertise in crafting sophisticated solutions across big data, data warehousing, machine learning, and advanced analytics. Excelled in resilient ETL, ELT, and Streaming data pipelines, implementing comprehensive integration, security, and governance. Ensured seamless information flow with IAM, RBAC, and Encryption, adhering to regulatory compliances. Extensive experience in multidimensional data modeling and managing SCD types.

🚀 Driving Big Data Innovation:
Pioneered advancements in Digital Transformation Initiatives and cutting-edge technologies within big data. Led best practices in data governance, security, and engineering across sectors, impacting Microsoft, HSBC, FIS, Tech Mahindra, Bank of North Carolina, MUFG Bank, and more. Proactively advanced data excellence and fostered innovation throughout my career.

🧠 AI/ML Leadership and Innovation:
Showcased excellence in Big Data, Data Science, Advanced Analytics, Machine Learning, and AI. Prioritized large-scale data infrastructure, cloud architecture, and innovative data strategy alignment across public and private sectors.

🌍 Global Leadership and Team Direction:
Thrived in a fast-paced, collaborative, and team-based environment. Provided leadership for cross-functional teams globally, overseeing operations in 50+ countries. Fostered a digital culture across EMEA, APAC, and AMER regions.
AREAS OF SPECIALIZATION
INDUSTRY / DOMAIN

  FINACIAL SERVICES - Core Banking, Investment/Insurance,Risk & Regulatory,Fraud & security,Consumer Finance,Cards & Payments,Digital & Mobile Banking,Wealth Management
  HEALTHCARE SERVICES - Health Information System
  OIL & GAS - Liquefied Natural Gas

TECHNICAL CONSULTING

  Enterprise architecture, Solution architecture,Data Engineering & Data Management,Data architecture & MDM,Big Data Industrialisation,Data Governance & Security,Advanced Analytics,Machine Learning & Artificial Intelligence,Digital Transformation, and Digital Twin

MANAGEMENT

  Agile methodologies & DataOps, MLOps, D&A OpsAIOps, and DevOps,Portfolio, Program & Project management, Stakeholder management,Infusing Design Assurance with Empathy in Design Thinking Processes,Processes in ITIL, Pre-sales consulting,Estimation and cost management, Budget & Contract management,Regulatory compliance, Configuration,CI/CD, and Release

To check my right to work in the United Kingdom,

  Verify the job applicant's eligibility to work in the United Kingdom by accessing Check a job applicant's right to work and entering the shared code W7A 8HK 332 along with the Date of Birth 10th April 1971.
  Holds a UK Global Talent Tier 1 Visa, indicating eligibility to work without sponsorship, valid until April 6, 2028, and possesses a valid work permit.

TECHNICAL REFERENCES

  Technical references for the job applicant showcase a history of expertise and accomplishments, available upon request.

You can find more about my professional background and achievements on my LinkedIn profile:
https://www.linkedin.com/in/venkatbobbili-dataarchitect-aimlpracticeleader/
I can be reached via email at ai.bobbilithinks@gmail.com or by phone at +44 07756 596869. Currently, I am based in United Kingdom.

Results-driven professional AI/ML Consultant - Data Scientist & Data Engineer with 15+ years of global experience (including the USA), and over 5 years specializing in AI/ML, NLP, LLMs, RAG, Prompt Engineering, Generative AI, MLOps, and Data Visualization. Proven expertise in architecting and delivering full-stack data and machine learning solutions that drive measurable business outcomes.
Certified in Data Science & AI from IIT Madras, with a strong foundation in predictive modeling, deep learning, NLP, MLOps pipelines, and scalable data engineering (ETL). Adept at stakeholder engagement, cross-functional collaboration, and driving innovation through data. Renowned for solving complex problems and leveraging advanced analytics to support strategic decisions in fast-paced, evolving environments.

Dynamic Data Scientist and AI/ML Engineer with expertise in machine learning, statistical analysis, and data modeling. Proficient in Python, R, SQL, and cloud technologies like AWS, and Azure. Proven track record of designing and deploying advanced AI models that improve operational efficiency by 25%, and reduce processing time by 30%. Skilled in leading teams to integrate AI solutions into scalable architectures, driving business growth, and optimizing decision-making through actionable insights.


  Over 4 years of professional experience in Data Science and Data Analytics, specializing in Artificial Intelligence, Deep Learning, Machine Learning, Data Mining, and Statistical Analysis.
  Proficient in advanced analytics techniques, including machine learning, deep learning, and natural language processing, for solving complex business challenges.
  Skilled in data acquisition, cleaning, and transformation, utilizing data manipulation libraries such as Pandas, NumPy, and SQL.
  Experienced in the full data science project lifecycle, including data extraction, cleaning, statistical modeling, and visualization with large structured and unstructured datasets.
  Demonstrated expertise in building and fine-tuning machine learning models for regression, classification, and clustering, using ScikitLearn, TensorFlow, and PyTorch.
  Proficient in applying NLP techniques for sentiment analysis and extracting insights from unstructured text data to improve decision-making processes.
  Created compelling data visualizations and dashboards using Matplotlib, Tableau, and Power BI to effectively convey insights.
  Familiar with big data technologies such as Hadoop, Spark, and AWS services for efficient handling and analysis of large-scale datasets.


Agam Parmar

Summary

Work History

Data Engineering Intern

Data Science Extern

Education

B.S. - Data Science

Skills

Timeline

Data Engineering Intern

Data Science Extern

B.S. - Data Science

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