Summary
Overview
Work History
Education
Skills
Websites
Certification
Accomplishments
Timeline
Generic
Madhurjya Tamuly

Madhurjya Tamuly

Artificial intelligence/Machine Learning Computational Science Manager
Pune

Summary

Innovative and results-driven AI & Data Leader with a proven track record of driving enterprise-wide transformation for top-tier financial institutions. Currently leading the Data & AI innovation agenda for Nationwide Bank (UK), identifying high-impact opportunities across banking verticals and delivering cutting-edge solutions using State-of-the-Art (SOTA) and Agentic AI frameworks. Skilled in executing strategic hackathons, developing business-aligned Proof of Concepts, and scaling pilot initiatives into cloud-native, production-grade solutions. Adept at creating value-driven narratives for executive stakeholders, building agile technical teams, and designing scalable AI architectures while passionate about accelerating organizational maturity in AI and delivering measurable outcomes through human-centered, responsible AI practices.

Overview

9
9
years of professional experience
4049
4049
years of post-secondary education
1
1
Certification
3
3
Languages

Work History

AI/ML Computational Science Manager

Accenture
03.2025 - Current
  • Spearheaded AI and Data Innovation strategy for Nationwide UK, optimizing cross-functional banking verticals through state-of-the-art (SOTA) and Agentic AI solutions.
  • Identified and assessed >25 key pain points across Retail, Compliance, Risk, and Audit functions through direct stakeholder engagement and data diagnostics.
  • Designed and conducted strategic AI Hackathons to test business potential and technical feasibility of each use case, achieving ~70% conversion to PoCs.
  • Architected and delivered high-impact Proof of Concepts (PoCs) using cutting-edge GenAI, RAG, and Agentic AI frameworks, demonstrating 30–60% operational efficiency gains.
  • Partnered with CXOs and Business Heads to showcase ROI-driven value stories, accelerating buy-in and prioritization for AI-driven transformation.
  • Proposed and executed pilot initiatives for approved PoCs, translating vision into cloud-native MVPs hosted on Azure/AWS with scalable architecture.
  • Built and led agile AI product teams by recruiting and mentoring data scientists and engineers to develop E2E solutions with production-grade robustness.
  • Acted as technical advisor and innovation evangelist, fostering a data-first culture and accelerating AI maturity across the bank

Senior Data Scientist

Xebia
01.2023 - Current
  • Company Overview: Xebia is a global IT consulting firm that specializes in digital transformation and technology consulting.
  • Chatbot Development: A chatbot for hotel data was created using the capabilities of Large Language Models (LLM) and Graph Database (Neo4j)
  • Innovative Architecture: An innovative architecture was designed, incorporating technologies such as Azure, OpenAI (LLM - GPT-3.5-Turbo), Langchain, Agents, BERT QA, and Knowledge Graphs
  • Architecture Presentation and Cost Management: The architecture was presented, and cost management strategies were implemented to optimize token utilization on Azure, ensuring efficient resource usage
  • Deployment and Real-Time Evaluation: The proposed chatbot solution was deployed. Real-time performance evaluation was conducted to assess the bot's effectiveness
  • Future Plans: Future plans were developed to address any identified issues and further enhance the chatbot's capabilities
  • Handled as a Team Lead for a NLP project known as SENTIFIT which was a Xebia solution for sentiment analysis of any product. The product had the capabilities of scraping through different social media platforms and collecting data regarding any product that is searched.
  • Combing BERT and GPT-4 we have created a detailed report on the sentiment of the product and a Power BI dashboard to reflect the sentiments across timeline.
  • Xebia is a global IT consulting firm that specializes in digital transformation and technology consulting.

Senior Data Scientist

Xebia
01.2023 - Current
  • Company Overview: Xebia is a global IT consulting firm that specializes in digital transformation and technology consulting.
  • Developed and implemented end-to-end time-series forecasting pipeline for Dollar General Stores, handling a 9 million record dataset.
  • Utilized PySpark with GCP for data ingestion, MRD data creation, model experimentation, selection, and inferencing.
  • Implemented 4 machine learning algorithms, including SARIMA, Prophet, Random Forest, and XGBoost.
  • Selected the optimal model based on performance which was MAPE to run the entire Directed Acyclic Graph (DAG), KPI was Accuracy which was always 90%.
  • Deployed a comprehensive AI architecture on Google Cloud Platform (GCP) with separate DAGs for Development (DEV), System Integration Testing (SIT), and Production (PROD) environments.
  • Conducted thorough analysis and adjustments of forecasted items in response to business inquiries, using either re-training or post-processing scripts as necessary.
  • Mentoring Junior team Members with code review, new ideas discussing for better modelling and team management.
  • Xebia is a global IT consulting firm that specializes in digital transformation and technology consulting.

Associate Process Manager in Data Science

Eclerx
01.2022 - 01.2023
  • Company Overview: Eclerx is a business process management company that provides data analytics and operational support services.
  • Led TPRM project in investment banking, creating a risk management pipeline using modular coding for model persistence and efficient processing.
  • Developed and deployed three machine learning models (XGBoost, Random Forest, Naive Bayes) using a dataset of 50,000 points, achieving automation of data handling and risk assessment.
  • Managed ML lifecycle from data ingestion and cleaning to model building with PCA and hyperparameter tuning, enhancing predictive accuracy and reliability.
  • Automated the data upload and processing pipeline to Dev and UAT servers using Hadoop and Impala, scheduled bi-weekly runs with cron jobs for timely updates.
  • Optimized PDF invoice processing using YOLOV6 for object recognition and a BERT QA Model for information extraction, achieving 92% accuracy in data retrieval.
  • Innovated in data extraction from multiple vendor invoices (e.g., Hitachi, Mind space, Embee) by fine-tuning YOLOV6 and BERT models, ensuring high precision in critical finance operations.
  • Implemented error handling in data processing workflows to maintain high accuracy levels in dashboard reporting and risk monitoring.
  • Eclerx is a business process management company that provides data analytics and operational support services.

Data Scientist

PREDICTIVU
01.2021 - 01.2022
  • Company Overview: PREDICTIVU is a data science company focused on providing insights through advanced analytics and machine learning.
  • Data Collection: Customer reviews on mobile phone brands are obtained through web scraping from multiple sources.
  • NLP and BERT Model: A natural language processing (NLP) pipeline, including a BERT model, is applied to clean and extract topics from the reviews.
  • Topic Modeling: Real-time reviews are continuously processed to categorize them into relevant topics, known as 'Topic Modeling.'
  • Funding Success: The project secured $150,000 in pre-seed funding from its parent company, Market Xcel.
  • Data Processing: Reviews are organized in a dataframe after collection and cleaned using NLP techniques.
  • Coherence Score and Model Selection: Various topic configurations are evaluated based on coherence scores to determine the optimal number of topics.
  • Correspondence Analysis (Moon Plot): DispalyR is used to perform Correspondence Analysis, reducing data dimensions and achieving over 80% variance explanation with two principal component axes.
  • PREDICTIVU is a data science company focused on providing insights through advanced analytics and machine learning.

Senior Software Engineer

INFOSYS
01.2016 - 01.2021
  • Company Overview: INFOSYS is a multinational corporation that provides business consulting, information technology, and outsourcing services.
  • Analyzed financial risk impact on global regions from {300+} trades, including OTC, OTC CC, and ETD.
  • Achieved a {20%} reduction in error rate by automating monitoring and calculations.
  • Approach: Developed a machine learning solution to predict trade impacts.
  • Extracted trade data from MongoDB.
  • Cleaned data using Python and performed exploratory data analysis.
  • Employed various encoding techniques.
  • Utilized ensemble methods (XGBoost, Random Forest) with hyperparameter optimization for modeling.
  • INFOSYS is a multinational corporation that provides business consulting, information technology, and outsourcing services.

Education

Master of Science - Data Science

Liverpool John Moore's University
Liverpool
February 2023 - Current

Post-Graduation Diploma - Data Science

International Institute of Information Technology
Bengaluru, India
January 2021 - 12.2021

Bachelor of Mechanical And Production Engineering - Mechanical Engineering

Sathyabama University
Chennai, India
01.2016 - 12.2016

Skills

  • Pyspark

  • Topic Modelling

  • GEN-AI

  • Web Scraping

  • Team Management

  • Dockers

  • Unix

  • CI/CD

  • Streamlit

  • Sql

  • Sklearn

  • LLM

  • Time-Series

  • Quantum Computing

  • Random Forest

  • PyTorch

  • Python

  • GCP

  • Numpy

  • Neo4j

  • Natural Language Processing

  • Deep Learning

  • MongoDB

  • RAG

  • Mlops

  • Machine Learning

  • Impala

  • Impact Analysis

  • Stakeholder Management

  • Team Handling

  • AI Architecture

  • Agentic AI

  • Tableau

  • Hadoop

  • Github

  • Machine Learning Algorithms

  • Flask

  • Exploratory Data Analysis

  • Data Science

  • Azure

Websites

Certification

Azure DP-100, IIIT-B (Post Graduation certification)

Accomplishments

  • GEMS Award for Exceptional Performance by Xebia
  • Innovative Manager Recognition by Accenture.

Timeline

AI/ML Computational Science Manager

Accenture
03.2025 - Current

Senior Data Scientist

Xebia
01.2023 - Current

Senior Data Scientist

Xebia
01.2023 - Current

Associate Process Manager in Data Science

Eclerx
01.2022 - 01.2023

Data Scientist

PREDICTIVU
01.2021 - 01.2022

Senior Software Engineer

INFOSYS
01.2016 - 01.2021

Bachelor of Mechanical And Production Engineering - Mechanical Engineering

Sathyabama University
01.2016 - 12.2016

Master of Science - Data Science

Liverpool John Moore's University
February 2023 - Current

Post-Graduation Diploma - Data Science

International Institute of Information Technology
January 2021 - 12.2021

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Madhurjya TamulyArtificial intelligence/Machine Learning Computational Science Manager