Ravi Patel Email & Phone Number

Mississauga, Ontario, Canada

• Built a string-matching neural network that removes the manual process of matching invoice account names to Bell's internal account naming structure, achieving an accuracy of 90%• Fully automated multiple accounting processes using Python, SQL, and Alteryx, saving stakeholders 30+ hours per month

Mississauga, Ontario, Canada

• Implemented machine learning solutions, such as regression trees, to deliver employee headcount forecasts for 12-24 months to stakeholders, achieving an accuracy of 97%• Designed a Python module, using multiple statistical time series models capable of factoring in hierarchical relationships, that provides 24-month forecasts for any time series data to streamline forecasting processes• Modified existing AI and machine learning models that forecast employee headcount to cover a more extensive range of business units by testing different models and feature engineering• Built a statistical-based anomaly detection model in Python that flags abnormal behaviour in employee headcount data, significantly improving model accuracy by more than 10%

Calgary, Alberta, Canada

• Created SQL queries based on real-time data to provide insight on possible production changes in the mining and fixed plant process.• Managed and created PowerBI dashboards used by chiefs and executives to aid in the production and workflow decision-making process.• Implemented real-time data logic in OSIsoft PI used by process engineers to make safety and resource adjustments.• Monitored real-time data collection process and assisted in debugging any issues that arose.

Toronto, Ontario, Canada

• Updated existing KPIs in Tableau weekly by aggregating data from Redshift, Hubspot, Chartmogul, and other sources to help different departments gauge weekly and monthly performances.• Created new KPIs using the HEART framework to aid in the improvement of the software's user experience.• Automated weekly KPIs by collecting data through software APIs and creating batch and python scripts that upload the data to Tableau, saving 4-5 hours a week of manual data collection.• Aggregated and analyzed customer data using statistical methods to give insight into possible product changes or recommend business process improvements.• Worked alongside the COO to analyze company finances and provide the executives with a monthly report on the company’s financial performance.