• Identified over 40 predictive weather factors contributing to power grid damage, including temperature, precipitation,and peak wind gusts.• Automated the extraction of 20+ years of daily weather data using Bash script, managing data download of 270 MB across 1920 CSV files. Consolidated data into a single Excel sheet for analysis using Python and Entity RelationshipDiagrams.• Created a searchable historical storm database in Tableau to analyze current and historical storm impacts and resource allocation during storm recovery planning.• Developed a Tableau dashboard displaying historical storm impacts with user-input filters, showing storm duration, weather types, severity categories (SED, MED, EED), and performance metrics (CHI, CI) for eight Nova Scotia weatherforecast regions.• Provided integration instructions, SOPs, video tutorials, and a three phased implementation plan for the tool’s use within NSPI’s internal systems, along with recommendations for future data tracking.• Conducted a cost-benefit analysis, projecting savings of over $1 million per major storm event.

• Collaborated with production, quality, and sanitation teams on 12-hour weekly day and night shift rotation and sent out weekly downtime reports.• Conducted 21 Day Line Validation project aimed to test if the production line stayed cleaned throughout the 21-day production cycle, revamping data collection spreadsheets with automated Excel functions and conducting microbiological tests for TPC, EB, and Listeria. Gained expertise in environmental swab collection, air quality assessment, and the use of microbiological equipment.• Conducted the 21 Day Line Validation project, proving the production line remained clean over a 21-day cycle. Performed microbiological tests for TPC, EB, and Listeria, gaining expertise in environmental swab collection and airquality assessment.• Conducted GMP self-inspections, contributing to professional certification and regulatory audits, including AIB audits.• Directed a Piece Count and Length Optimization project, constructing a dataset with over 15,000 data points to analyze French fry production specifications. Identified breakage points in the production and packaging processes, collectingand sorting 780 lbs. of fries into length categories. Utilized JMP statistical software to analyze data and provide data-driven recommendations, resulting in process improvements.• Presented findings and recommendations to key stakeholders, including the Senior Director of Manufacturing, Plant and Production Manager, ensuring transparency with an extensive appendix of raw data.• Featured in Dalhousie University’s Faculty of Engineering Newsletter for exceptional contributions at McCain Foods, including project leadership, data analysis, and advocacy for diversity in STEM.

• Conducted qualitative & quantitative analysis of logistics operations- found variance in employee tracked and paid hours, optimized push back billing system, and process mapping of courier return and product destruction process.• Built measureable tools to track data along with KPI dashboards that brought visibility to inbound operations, YTD container tracking, YTD waste tracking bringing visibility to volume of products destroyed by facility.• Created weekly & monthly KPIs for quality assurance with measurable tools to capture warehouse related internal and customer reported external errors. Utilized Power Bi to create Warehouse Quality Assurance KPI dashboard.• Optimized product slotting by overhauling manual methods. Created an automized rolling report that assigns ~3200 empty bin locations to ~1600 products ordered of highest frequency and quantity. Through extensive analysis, assigned A, B, and C classes to generate a list of 20% of high frequency ‘A’ products that drive 80% of the sales. Located optimal warehouse locations to hold ‘A’ products to increase flow efficiency. This tool brought visibility to inventory management and maximized space and utilization. Advanced dynamic excel functions and vba was used to create this tool.

- Supervised entire 8-12 hr. night shifts for over a month, unaccompanied. Led a team of 20 frontline workers consisting of machine operators, and technicians to meet daily production goals as a motivated and cohesive unit.- Led pre-shift meetings to effectively communicate production plans and major downtime triggers from the previous shift while promoting a safe and healthy work environment. Reviewed completion and compliance with safe work and preventative maintenance procedures.Carried out weekly audits to ensure proper replenishment of raw materials and organization of production area.- Supported in training and capability. Scheduled aptitude tests, invigilated, and evaluated the test papers. Analyzed the job requirements, reviewed applications, screened, interviewed, shortlisted, and helped in the selection of the right candidate. Conducted over 70 interviews during the seasonal recruitment process.- Developed VBA Excel macros and trackers to automize the data collection and analysis of production downtime.- Revamped operations of the multi-pack production line by increasing the overall efficiency and reducing downtime. Created SOPs, downtime tracker, perfect line set points, detailed start-up & shut down checklist, and equipment checklist. All documents and projects currently implemented on the production floor.

• Provided pro-bono consulting services to partnered local non-profit organization, Ottawa Regional Cancer Foundation (ORCF). Worked alongside a team of 4 student consultants and project lead consultant from Accenture.• Defined project scope and context i.e., creating a community hub with primary goal of impacting the lives of cancer patients by developing close partnerships with organizations with similar values and missions.• Led consultation meetings in search of potential community partners which included Salvation army, Lower Town Community Centre, and Ottawa inner city health.• Created KPIs, demographic analysis, found community gaps in cancer care, led market research for targeting strategic partnerships, created community hub branding principles, recommendations, implementation plan, and considerations.• Assimilated research in detailed PowerPoint slides and presented findings to the ORCF and Accenture team.• Demonstrated time management and ability to work independently and effectively while delivering on-targetresults, with minimal supervision.

Teaching Assistant for Engineering Math I (MATH 1280) and Engineering Math II (MATH 1290) within the department of Mathematics and Statistics at Dalhousie University. Evaluated assignments for first year Engineering Calculus I & II by providing clear feedback for improvement. Graded approximately 70 individual assignments each week and assisted professor in calculating grades.

Note-Taker for various first year engineering courses such as Engineering Design l (ENGI 1203), Concepts of Chemistry II : Energy & Equilibrium (CHEM 1022), Linear Algebra (ENGM 1041) and Engineering Math ll (MATH 1290).