Hi, I’m Viraj Nanche. I’m a Data Scientist with strong expertise in Python, machine learning, and cloud-based model deployment, delivering AI-powered solutions across automotive, regulatory, and operational domains. I have hands-on experience deploying ML models into production pipelines and applying ML Ops practices (Docker, CI/CD, Git) along with LLM/agentic frameworks for automation and analytics. I’ve worked with Jaguar Land Rover (via Appen) and Fairly AI, collaborating with Deloitte, Virgin Money, and NVIDIA partners to translate data into business impact. I enjoy building end-to-end data science solutions, from data ingestion and validation to model monitoring and governance. I thrive in cross-functional teams and continuously explore how AI can improve decision-making and compliance, including explainability and governance layers aligned with FCA and GDPR standards.

Viraj Nanche

Hi, I’m Viraj Nanche. I’m a Data Scientist with strong expertise in Python, machine learning, and cloud-based model deployment, delivering AI-powered solutions across automotive, regulatory, and operational domains. I have hands-on experience deploying ML models into production pipelines and applying ML Ops practices (Docker, CI/CD, Git) along with LLM/agentic frameworks for automation and analytics. I’ve worked with Jaguar Land Rover (via Appen) and Fairly AI, collaborating with Deloitte, Virgin Money, and NVIDIA partners to translate data into business impact. I enjoy building end-to-end data science solutions, from data ingestion and validation to model monitoring and governance. I thrive in cross-functional teams and continuously explore how AI can improve decision-making and compliance, including explainability and governance layers aligned with FCA and GDPR standards.

Available to hire

Hi, I’m Viraj Nanche. I’m a Data Scientist with strong expertise in Python, machine learning, and cloud-based model deployment, delivering AI-powered solutions across automotive, regulatory, and operational domains. I have hands-on experience deploying ML models into production pipelines and applying ML Ops practices (Docker, CI/CD, Git) along with LLM/agentic frameworks for automation and analytics. I’ve worked with Jaguar Land Rover (via Appen) and Fairly AI, collaborating with Deloitte, Virgin Money, and NVIDIA partners to translate data into business impact.

I enjoy building end-to-end data science solutions, from data ingestion and validation to model monitoring and governance. I thrive in cross-functional teams and continuously explore how AI can improve decision-making and compliance, including explainability and governance layers aligned with FCA and GDPR standards.

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Experience Level

Language

English
Fluent

Work Experience

AI Data Scientist at Appen (Jaguar Land Rover Project w/ NVIDIA)
July 1, 2025 - October 15, 2025
Developed Python-based data pipelines for in-car sensors, enabling real-time data collection, preprocessing, and validation for AI model training. Collaborated with NVIDIA to deploy AI models in connected vehicles, implementing CI/CD pipelines, model monitoring, drift detection, and automated retraining for production-grade AI. Performed data integrity checks and ensured Responsible AI compliance, including anonymization, bias detection, explainability (SHAP/LIME), and GDPR adherence. Designed interactive dashboards using Tableau to visualize AI performance, vehicle metrics, and anomaly detection for stakeholders.
Data Scientist at Fairly AI (Freelance)
July 1, 2024 - October 15, 2025
Represented Fairly AI at FRIL event, engaging with partners such as Deloitte and Virgin Money to understand regulatory and business challenges. Built LLM-based generative AI prototypes to extract, contextualize, and summarize global regulatory obligations for compliance workflows. Designed dashboards in Tableau and Python for fraud prevention metrics, model explainability, and progress tracking. Collaborated with another startup to augment software capabilities, improving scalability and reliability of fraud detection solutions.
Data Analyst at Infosys
August 1, 2022 - October 15, 2025
Conducted data wrangling and visualization for global financial clients, streamlining regulatory reporting pipelines by 30%. Implemented SQL-based data transformation and Power BI dashboards for KPI monitoring and anomaly detection. Partnered with senior data architects to design ETL processes aligning with MiFID II, BCBS 239 compliance.
Data Analyst at Capgemini
August 1, 2021 - October 15, 2025
Conducted data validation and cleansing for large financial datasets across multiple systems, ensuring accuracy for client reporting. Designed SQL queries and reports for risk and compliance analytics. Supported ad-hoc insight requests from business analysts, improving internal data visibility.
AI Data Scientist at Appen (Jaguar Land Rover Project w/ NVIDIA)
July 1, 2025 - October 15, 2025
Supported AI model deployment for connected vehicle systems in collaboration with NVIDIA, ensuring high-quality data streaming from on-road vehicles to cloud servers. Designed and executed Python-based automation scripts in Linux for data integrity validation, boosting dataset reliability by 30%. Built real-time Tableau dashboards to track vehicle data ingestion, latency, and model feedback loops. Collaborated with ML engineers on data drift monitoring and retraining cycles for predictive driving assistance systems.
Data Scientist Freelancing at Fairly AI
July 1, 2024 - October 15, 2025
Collaborated with Deloitte and Virgin Money to design Generative AI governance and compliance prototypes. Developed LLM-based policy extraction and regulatory mapping system; proposed and co-developed a fraud prevention solution combining Fairly AI’s tools with a partner’s ML platform, improving anomaly detection accuracy by 25%. Created Tableau dashboards visualising fraud risk trends, model fairness, and bias metrics; implemented explainability and governance layers (SHAP, MLflow, bias detection) to align with FCA and GDPR standards.
Data Analyst at Infosys
August 1, 2022 - October 15, 2025
Automated ETL workflows to streamline onboarding data for UK financial clients; built interactive Power BI dashboards for KPI monitoring, trend analysis, and executive reporting. Collaborated with cross-functional teams to implement data lineage and quality control frameworks, ensuring regulatory compliance.
Data Analyst at Capgemini
August 1, 2021 - October 15, 2025
Conducted data validation and cleansing for large financial datasets across multiple systems; designed SQL queries and reports for risk and compliance analytics; supported ad-hoc insight requests from business analysts to improve internal data visibility.

Education

MSc Advanced Computer Science (Artificial Intelligence) at University of Strathclyde, UK
January 1, 2022 - January 1, 2023
BEng Electronics and Telecommunications Engineering at Sinhgad College of Engineering, Pune, India
January 1, 2016 - January 1, 2020
MSc Advanced Computer Science (Artificial Intelligence) at University of Strathclyde
January 1, 2022 - January 1, 2023
BEng Electronics and Telecommunications Engineering at Sinhgad College of Engineering, Pune, India
January 1, 2016 - January 1, 2020

Qualifications

AI Virtual Experience – Cognizant (Forage)
February 1, 2024 - October 15, 2025
AI & Data Science Virtual Experience – British Airways (Forage)
February 1, 2024 - October 15, 2025
AI Classroom Series – Microsoft
January 1, 2021 - October 15, 2025
Google Cloud Community Summit – Google Developer Groups India
January 1, 2021 - October 15, 2025
Standard Bank – Data Science Simulation – Forage
February 1, 2024 - October 15, 2025
AI & Regulatory Simulation – JP Morgan Chase / Goldman Sachs / Citi – Forage
January 1, 2024 - March 1, 2024
AI Virtual Experience – Cognizant (Forage)
February 1, 2024 - October 15, 2025
AI & Data Science Virtual Experience – British Airways (Forage)
February 1, 2024 - October 15, 2025
AI Classroom Series – Microsoft
January 1, 2021 - October 15, 2025
Google Cloud Community Summit – Google Developer Groups India
January 1, 2021 - October 15, 2025
Standard Bank – Data Science Simulation – Forage
February 1, 2024 - October 15, 2025
AI & Regulatory Simulation – JP Morgan Chase / Goldman Sachs / Citi – Forage
January 1, 2024 - March 1, 2024

Industry Experience

Financial Services, Manufacturing, Professional Services, Software & Internet, Media & Entertainment, Education