Innovative Solutions

Showcasing projects that drive business innovation and efficiency.

Business Intelligence and Data Analytics

Build intuitive dashboards and reports using Power BI and MicroStrategy for data-driven decisions.

AI and Machine Learning

Develop predictive models and intelligent chatbots to improve outcomes and efficiency.

Data Engineering & ETL

Streamline massive data pipelines ensuring data quality and reliability.

Project & Leadership Excellence

Lead cross-functional teams, ensure GDPR compliance, and manage projects from conception to completion.

Work Experience

Data professional adept in engineering, analytics, and data science—leveraging AI/ML solutions to drive innovation and informed decision-making.

Experience

Assistant Principal

IQVIA Aug 2011 - Present

Data Analytics

• Business Intelligence and Analytics: Developed MicroStrategy BI solutions to enhance data-driven decision-making, ensuring high data security and GDPR compliance. Improved operational efficiency, benefiting 100+ users across UK wholesalers and pharmacies by providing a unified view and reducing decision-making time by 40%.

• COVID-19 Stock Piling Dashboards: Created Power BI dashboards for the Department of Health and Social Care (DHSC) during the pandemic to manage real-time stock piling of drugs, ensuring their availability and facilitating informed decision-making.

• Vendor Management Office Feedback: Developed a feedback dashboard for project owners across IQVIA (40+ countries) and 500+ project owners in clinical trials supply, enhancing vendor engagement and analyzing top vendors for therapeutic areas like oncology, cardiology, diabetes, etc.

• Dashboard: Led a team to deliver over 100 dashboards for UK suppliers, manufacturers, and pharmacies using Power BI and MicroStrategy Dossier.

Data Engineering

• Data Processing and ETL: Directed a team to process over 3 billion records monthly from suppliers, pharmacies, hospitals, and public domain repositories like NHS. Utilized data sources including Impala, Hive, flat files, Oracle Server, SFTP, SharePoint, and shared drives. Performed ETL processes to create data models in MS SQL Server using Pyspark and Python for dashboards and IAM Cubes (SSAS Cubes), ensuring data integrity. Managed data privacy and governance to ensure GDPR compliance.

• Data Integration: Integrated client data with IQVIA datasets and public domain datasets, tailoring data to the language of customers' territories, segments, and regions. Developed metadata for products and mapped it to IQVIA datasets, creating custom product groupings for inclusion in SSAS Cubes.

• Dashboard and Cube Development: Developed and maintained over 1,400 SSAS Cubes, SSRS, Power BI, and MicroStrategy Dossier dashboards for suppliers, manufacturers, and pharmacies in the UK.

Data Science

• Led the development of a multimodal chatbot (Voice, Image, Chat) using Azure AI Services, Python SDK, and Azure OpenAI Services with Langchain agent. The intelligent recommendation system improved customer interaction, handling over 1000 customer queries monthly and providing personalized drug shortage alerts and price concessions, resulting in a improved in customer satisfaction.

• Prototypes: Developed innovative chatbot prototypes using Azure AI Services and Azure OpenAI with Langchain agents. These prototypes read all IQVIA product offerings to assist customers (Suppliers, Pharmacies, GPs, Manufacturers) by advising relevant products based on their problem statements. This initiative will improve customer engagement and generated new customer leads, with consent information stored in SQL databases for follow-up by IQVIA client representatives.

• Health Data Science: Applied data science expertise to a project aimed at detecting readmission rates for diabetes patients. Developed and evaluated 48 different machine learning models, including Logistic Regression, Random Forest, Gradient Boosting Machines (GBM), Support Vector Machine (SVM), Neural Networks, and k-Nearest Neighbors (k-NN), before finalizing the most effective model. Utilized Principal Component Analysis (PCA) and Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction and implemented unique feature importance analysis to enhance model performance

Doctor in Business Administration in Artificial Intelligence and Machine Learning

Business Analyst

Genpact India Pvt. Ltd. Feb 2010 - Jul 2011

Process Improvement and Automation Specialist:

• Successfully transitioned and automated 250+ reports, streamlining data processing, data entry, client services, and MIS reporting.

• Leveraged VBA and VB scripting to drive efficiency gains and reduce manual effort.

• Developed in-house tools using VB to enhance project maintenance and operational effectiveness.

Transition and Technical Expertise:

• Provided technical consulting for successful transition of 250+ client service reports, ensuring seamless knowledge transfer and minimal disruption.

• Implemented VB code to generate client service reports from IMS databases, demonstrating proficiency in data extraction and report automation

Senior Consultant

Symphony Market Solutions Sep 2006 - Jun 2009

Data Quality and Process Automation Specialist (PepsiCo, Walmart via IRI):

• Consistently delivered critical client deliverables with 99.9% accuracy, meeting stringent SLAs.

• Developed automated database monitoring, tracking systems using VB scripting, enhancing data quality.

• Implemented automated database QC processes by integrating UNIX, Excel using VB scripting.

• Created Time Tracker tool in VB.NET with MS SQL for efficient project management, resource allocation.

• Automated MIS reporting using VBA to streamline data analysis, insights generation

Education

Academic journey, anchored in AI, data science, and business administration, reflects a commitment to continuous learning and excellence.

Walsh College, Michigan, United States Oct 2024 - Dec 2026

At Walsh College, my Doctor in Business Administration program in AI and Machine Learning integrates rigorous research methodology with advanced technical instruction. The curriculum spans from foundational data science, data storage, and statistical research techniques to cutting-edge AI/ML modeling and business-focused capstone projects. Through structured residencies and a multi-chapter dissertation, I gain both the academic rigor and practical insight needed to lead innovation in data-driven business environments.

Masters in Artificial Intelligence and Machine Learning

Walsh College, Michigan, United States Oct 2024 - Dec 2025

In the first year of my Master’s in Artificial Intelligence and Machine Learning, I am focusing on establishing a robust technical and analytical foundation. I started with essential courses in data science fundamentals, data visualization, predictive modeling, and the mathematical principles underlying AI and machine learning. Alongside theoretical learning, I will gain practical experience with data storage technologies and undertook a hands-on capstone project. By the end of the year, I will acquire the skills and knowledge to effectively utilize AI/ML tools to derive meaningful business insights.

Master in Data Science

Deakin University, Geelong, Australia Feb 2022 - July 2024

I have successfully completed my Master’s in Data Science, where I achieved a High Distinction with an impressive academic score of 91.3%. This rigorous program is recognized for its excellence, ranking 197th in the QS World University Rankings.

📜 Academic:

2024 - Trimester 1

• SIG787 Mathematics for Artificial Intelligence: High Distinction (HD) - 90

• SIG788 Engineering AI Solutions: High Distinction (HD) - 95

2023 - Trimester 2

• SIG720 Machine Learning: High Distinction (HD) - 100

• SIG742 Modern Data Science: Distinction (D) - 78

• STP050 Academic Integrity: Ungraded Pass (UP)

2023 - Trimester 3

• SIG718 Real World Analytics: High Distinction (HD) - 86

• SIG731 Data Wrangling: High Distinction (HD) - 99

Verify Testamur

Verify Australian Higher Education Graduation Statement

Master of Business Administration

Bharathidasan University, Trichy, India May 2023 - Nov 2025

I have successfully completed two semesters of my Master of Business Administration program. During this time, I gained essential knowledge in business strategy, leadership, and management. Due to my focused dedication toward achieving excellence in my Master's in Data Science, I have one backlog pending completion.

This experience has allowed me to develop a strong foundation in business operations while complementing my technical expertise in Data Science and AI/ML. My dual focus positions me to bridge the gap between business decision-making and data-driven innovation, ensuring impactful outcomes in real-world scenarios.

Bachelor of Computer Application

Periyar University, Salem, India Jun 2016 - Jan 2019

Diploma in Electronics & Communication

Board of Technical Education, Chennai, India 2002 - 2005