Mohammad Ammar
Technology / Internet
Services offered
A Business Intelligence and Automation Specialist with a strong foundation in data analysis, operational strategy, and digital transformation, bringing over three years of experience across logistics, consulting, and technology startups. Known for engineering practical, measurable solutions, this professional transforms complex systems into high-efficiency engines through the use of SQL, Python, Power BI, and Tableau.
Recent projects include optimizing AI-driven workflows at Invisible Technologies, where real-time agent monitoring dashboards were developed and LLM-driven virtual agents were fine-tuned, enhancing model accuracy and reducing false positives by 23%. By automating back-end processes and streamlining data pipelines, manual processing time was cut by 17%, significantly improving operational throughput.
In a previous role as Business Strategy Analyst, co-founded a platform that achieved over 30,000 organic visits within its first month and secured $60,000 in seed funding through strategic investor engagement. Applied K-means clustering to refine user matching algorithms, increasing engagement by 15%. This work exemplifies a recurring theme—driving user-centered innovation with quantifiable impact.
Recognized among Canada's Top 40 AI Talents by NEXT AI and HEC Montreal, with multiple initiatives earning acclaim from academic and industry bodies such as Concordia University and the Quebec Innovation Council. Experience also includes automating reporting systems, conducting AS-IS/TO-BE process mapping, and improving MRO operational efficiency at FedEx, where safety training and time-motion studies led to enhanced trailer handling rates and reduced onboarding time.
Skilled in Agile and Scrum methodologies, with hands-on proficiency in Jira, Excel, Kanban, and process modeling. Notable achievements include leading AI-powered educational tools shortlisted among Canada’s top innovations, earning awards for both technical excellence and social impact.
This individual thrives at the intersection of technology and business, combining a passion for innovation with analytical precision to design scalable solutions. Whether optimizing financial planning, enhancing system reliability, or reducing operational costs, the focus remains on generating real-world outcomes—not just reports.
Currently holds an Open Work Permit in Canada (valid until June 2027) and a U.S. B1/B2 visa (valid until March 2034). Open to relocation and new opportunities that demand high-impact decision intelligence, automation, and cross-functional execution.
Experience
Invisible Oct 2024 - Present Montreal, Quebec, Canada
Description:
Serving as an Operations Consultant at Invisible Technologies since Oct 2024, delivering automation solutions, AI enhancements, and real-time performance tracking to improve operational efficiency and data-driven decision-making.
Achievements:
• Designed Power BI dashboards for real-time agent monitoring, reducing reporting time by 11%.
• Improved AI model accuracy from 82% to 91%, cutting false positives by 14%.
• Automated data processing with Python and SQL, reducing manual workload by 17%.
• Conducted gap analysis and process modeling to streamline workflows and boost productivity.
• Applied Scrum and Kanban methodologies to drive agile project execution and transparency.
• Enhanced data visualization and operational insight through dynamic reporting tools.
Strategy Operations Consultant
AmiColo · Self-employed Sep 2023 - Aug 2024 Montreal, Quebec, Canada
Descriptions:
Co-founded and led strategic planning for AmiColo, a roommate-matching platform, from Sep 2023 to Aug 2024 in Montreal. Developed data-driven business strategies using K-means clustering, Power BI, and market analysis to scale growth and engagement.
Achievements:
• Launched platform with 130,000+ organic visits in the first month, surpassing industry startup benchmarks by 30%.
• Increased user engagement by 15% through K-means clustering on social index scores.
• Secured a $60,000 seed funding offer by presenting a pitch backed by market analysis and financial projections.
• Enhanced product features using KPI insights analyzed via Power BI.
• Improved profile accuracy and match efficiency through algorithm refinement.
• Conducted in-depth market research to guide growth and strategy execution.
Operations Coordinator | District 3 - Innovation Lab
Concordia University Sep 2022 - Jan 2024 Montreal, Quebec, Canada
Descriptions:
Served as Technical Project Coordinator at District 3 - Innovation Lab, Concordia University, coordinating AI-driven education and data innovation projects (AcademAI & FoodX). Led development using Python, OpenAI APIs, VectorDB, and Power BI for real-time analytics and academic tools.
Achievements:
• Engineered AI-powered academic tools using Python, OpenAI APIs, and VectorDB to improve student learning and engagement. - AcademAI
• Contributed to a project nominated among Canada's Top 40 AI Products (2023–24). - AcademAI
• Developed and pitched academic AI agent project to Desjardins for $50,000 funding opportunity. - AcademAI
• Built a web-based food distribution app and Power BI dashboard to support food management. - FoodX
• Reduced food waste by 13% through data-driven food distribution system. - FoodX
• Secured $14,000 pilot funding and recognition from the Quebec Innovation Council. - FoodX
Sygnius Infotech Jun 2020 - Nov 2022 Remote
Descriptions:
Worked remotely as a Business Systems Analyst at Sygnius Infotech Ventures, focusing on optimizing SQL queries, automating client reporting processes, and mapping AS-IS/TO-BE workflows to enhance productivity and system performance.
Achievements:
• Automated client reporting using Python and SQL, reducing manual errors by 7%.
• Integrated MySQL databases to enhance data consistency and reporting workflows.
• Optimized SQL queries and indexed critical tables, cutting data retrieval times by 30%.
• Conducted AS-IS/TO-BE process mapping, increasing overall productivity by 9%.
• Developed automated SQL/Excel tools for MRO reporting, reducing reconciliation time by 11%.
• Improved client satisfaction by 7% through workflow automation and reporting enhancements.
Education
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