Mihir Trivedi - Business Intelligence Developer

I’m Mihir, a Business Intelligence Developer at Flosonics Medical where I build ELT pipelines, interactive dashboards, and process automations that empower Sales, Marketing, and Production teams to move faster and smarter. From streamlining production audits to eliminating manual spreadsheet workflows, I love turning raw data into actions that save time and drive growth.

My journey spans developing global e‑commerce platforms, designing AI‑enabled mining dashboards, and integrating municipal data systems. Each role sharpened my passion for clean data, intuitive analytics, and technology that delivers measurable impact.

When I’m not wrangling datasets you’ll find me experimenting with Python, AWS, and the Microsoft Power Platform—always looking for the next way to simplify the complex. Let’s connect and talk tech, data, or your next big idea!

PROFESSIONAL EXPERIENCE

Business Intelligence Developer – Flosonics Medical

April 2025 – Present

Sudbury, ON, Canada

ELT & Data Warehousing: Designed robust ELT pipelines that unify Salesforce, production logs, and marketing data into a single warehouse, cutting data‑refresh latency from hours to minutes.
Self‑Service Dashboards: Built Power BI and Tableau dashboards for Sales, Marketing, and Production teams, reducing manual reporting effort by 90% and enabling real‑time KPI monitoring.
Cross‑Functional Enablement: Partner with stakeholders to translate business questions into analytics solutions and champion data literacy across the organization.

Software Developer – LoopX

July 2024 – March 2025

Sudbury, ON, Canada

Advanced Dashboards & Real‑Time Reports: Developed AI‑driven dashboards and automated reports to enhance safety and efficiency in mining, improving situational awareness for equipment operators.

Business Intelligence Analyst – City of Greater Sudbury

May 2024 – August 2024

Sudbury, ON, Canada

PreHos Integration for Community Safety: Integrated PreHos with SQL Server, Python, and Google Cloud SQL Auth Proxy for real‑time 911 and opioid‑response reporting.
Budgeting System & Data Governance: Built Service‑Based Budgeting with SQL & Power BI and trained staff on data governance best practices.

Software Developer – Minax Inc.

October 2023 – May 2024

Sudbury, ON, Canada

Ground Control Application: Delivered React Native app with offline capability for underground mining data collection and automated reporting.
Safety‑Form Automation: Converted manual Workplace Safety North forms into digital workflows, slashing report creation time from 5 hours to a few minutes.

Research Fellow – Mineral Exploration Research Centre

March 2022 – July 2023

Sudbury, ON, Canada

Gold Prospectivity Mapping: Applied ML to geological datasets, achieving a 99.5% F1‑score and improving exploration targeting.

Teaching Assistant – Laurentian University

September 2021 – July 2024

Assisted students in Cyber Crime, JAVA, C++, and App Development, enhancing their technical skills.

Part‑time Sales Representative – Eastlink

January 2022 – May 2023

Top‑performing sales representative recognized for outstanding customer service and product knowledge.

Software Engineer – Tata Consultancy Services (TCS), India

November 2017 – October 2021

Developed and maintained 13 B2B e‑commerce platforms for Saint‑Gobain Abrasives using SAP Hybris and Java Spring MVC.
Led a team maintaining Edgepark.com B2C platform, implementing secure user management and CI/CD pipelines.

EDUCATION

Master of Computational Science, Laurentian University, Canada

Sep 2021 – Aug 2023

Thesis: A Comprehensive Analysis of the Geological Features Influencing the Probability of Gold Discovery in the Larder Lake Region Using Advanced Machine Learning Algorithms.

Bachelor of Computer Engineering, Gujarat Technological University, India

Aug 2013 – June 2017

Coursework: Data Structures & Algorithms, Computer Networks, DBMS, Cyber Security, AI, HMI, Cloud Computing, Android App Development, Web Technology

PUBLICATIONS & APPEARANCES

“A study of faults in the Superior province of Ontario and Quebec using the random forest machine learning algorithm: Spatial relationship to gold mines,” ScienceDirect, 2023.
“Machine Learning for Predictive Modeling of Mineral Deposits,” AICMSE Conference, Harvard University, 2023.
"Mihir Trivedi: Machine Learning for Predictive Modeling of Mineral Deposits" – Harquail School of Earth Sciences YouTube Channel.

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