Pest control company in Montreal with hundreds of customers across Montreal state.-Responsible of insights elaboration using Power BI-Data manipulation to enhance info reliability with Power Query-Data analysis activities using SQL, Python, and Power BI to derive actionable insights for a leading pest control company.-Managed project tasks and issue tracking using Plannit, ensuring seamless collaboration among cross-functional teams for pest control.

I developed a sales dashboard for the company, analyzing 10 years of historical data. Key project components include:• Data Extraction: Converted unstructured data from PDFs into a structured table for analysis.• Churn Rate Analysis: Measured and tracked customer churn to understand retention trends.• Sales Insights: Identified actionable insights to enhance sales performance and boost revenue.This dashboard helped Cold Jet make data-driven decisions for long-term growth.

I designed efficient distribution routes for the company, analyzing over 200,000 sales records to identify key trends and optimize the sales process. Key aspects of the project include:• Trend Analysis: Recognized sales patterns to determine optimal schedules and visit frequencies for eachcustomer.• Route Optimization: Created data-driven distribution routes to streamline sales representativeassignments.• Tools Used: Leveraged Power BI for visualization, ArcGIS for geographic analysis, and Python scripts forautomation and advanced data processing.• Outcome: Improved sales rep efficiency and customer coverage by aligning schedules with demand andgeographical factors.

Food distribution company for convenience stores throughoutUnited States: -Integrated Snowflake into the data infrastructure for comprehensive business intelligence reporting and analysis.-Utilized Jira for project management and Agile methodologies to drive continuous improvement in data analysis processes.-Conducted data analysis using Python to extract insights and support business decision-making.

-Conducted structural analysis and simulation using Python and FEA tools, ensuring the integrity of biomedical implant designs.-Utilized Snowflake for data storage and retrieval, facilitating collaborative data analysis from multiple patient inputs with medical professionals.-Managed project workflows and tasks tracking using Monday, ensuring timely delivery of project milestones.

Start-up that eases the purchase and installation of solar energy forhouses and companies -Co-founded a successful startup focused on streamlining the adoption of solar energy solutions for residential and commercial clients.-Recognized as a winner in the 2016 "Capital Semilla" government competition for entrepreneurial excellence.

Project developed in joint effort with Ruta N, (research and evelopment govermental department), for the design and massive production of mechanical respirators for COVID-19 patients.-Design and construction of the ventilation mechanism.-Development of drawings and detail mechanism design for respirators.-Managed vital data collection during product testing phases, leveraging IoT sensors and data logging systems to capture real-time performance.

Solar vehicle that competed in Australia 2015 WSC (World Solar Challenge) against more than 20 countries from around the globe.-Design and construction of the solar vehicle chassis.-Participation during the manufacturing of the entire vehicle body.-FEA simulations of multiple designs and data collection of multiple design parameters-Conducted research and development of composite materials for solar vehicle construction, utilizing GitHub for collaborative documentation and version control.