Boston, Massachusetts, United States
🎓 Master of Management in Analytics (Ivey Business School) & Honours B.Sc. in Computer Science (Brock University). 💻 Consultant at Experian specializing in architecting digital transformation roadmaps for 25+ Global Fortune 500 clients, driving $6M+ in annual recurring revenue. I bridge the gap between complex data ecosystems and business strategy, maintaining a 95% technical win rate. 📊 Data & AI Specialist with a proven track record of: - Engineering GenAI and automated workflows using Python and SQL to save 1,200+ engineering hours annually. - Building in my research production-grade ML engines (XGBoost) and Monte Carlo simulations that delivered $650K in savings for a large firm. - Scaling Big Data pipelines (PySpark/AWS) for 11M+ users, reducing query latency by 80%. 🛠Tech Stack: Python (Pandas, NumPy), SQL, R, PySpark, DataBricks, ML, GenAI, AWS, Azure, GCP, Java, JavaScript, Tableau, Power BI, and Low-code/No-code automation. 🙋‍♂️ Passionate about translating complex architectures into clear ROI narratives. Let’s connect to discuss data, AI/ML, or strategy-driven innovation!
Digital Garage (Research & Development Branch) • Developed a Web-App using JavaScript, HTML5, CSS3, and Node.js, collaboratively with 3 senior developers following Git version control; digitalising 100% of the ministry’s courses used by over 3,500 employees • Launched Automation for the Ministry by establishing 100% automation of the 50 regression tests for a Ministry Web-App with Selenium, JavaScript, Azure Cloud CI/CD Pipelines & DevOps, and APIs, paving the way for quicker software development with automation • Researched and developed 3 possible solutions to digitalise the Ontario Driver’s Handbook using tools like React, JavaScript, and the concept of Progressive Web Apps, demoing prototypes as potential solutions for the software product to senior staffing and directors of the Ministry
Digital Garage (Research & Development Branch) • Visualized and analyzed a major Ontario Highway’s vehicle collision data using dashboards in Power BI, with data preparation tools like Python, Spark, Jupyter Notebooks, and SQL Server, identifying possible factors that cause secondary vehicle collisions • Led a team of 4 interns to develop programs to provide sentiment analysis of Ministry Websites’ forum email responses, communicating objectives, and creating scripts in Python to aggregate Big Data in JSON format for Machine Learning based Sentiment Analysis, proposing deployment options using MongoDB, or CI/CD Pipelines & Azure Services • Performed data extraction, and manipulation to reduce noise from large CSV data sets using data manipulation tools and libraries like Numpy, Pandas, Python, Spark, Jupyter Notebooks, and SQL Server, ensuring all raw data was available for analysis • Developed predictive analytics pipelines processing 100K+ transportation records, informing $3M in modernization investments; instituted rigorous code documentation and reporting standards that improved auditability and stakeholder trust. • Built NLP-based anomaly detection systems analyzing 500K+ public submissions; enhanced incident detection accuracy by 15% and implemented automated risk flagging that streamlined post-implementation retrospectives for safety-critical transportation systems.
Emergency Health I&IT Solutions and Technology Management Branch • Collaborated with team of 5 Quality Assurance testers to lead SIT & UAT using Jira, and Confluence, on ambulance software, strengthening capabilities by 50%
Emergency Health I&IT Solutions and Technology Management Branch • Managed updates, and fixed issues on 150 outdated Windows PCs and Linux Servers found in ambulance communication centres across Ontario