ENGINEER
AKASH
Patel.
Turning fragmented data into decision systems.
Currently building finance, operations, forecasting, margin, resource planning, and risk analytics workflows using Power BI, SQL, Power Query, SharePoint, Vena, and applied AI.
10+
Power BI dashboards launched
6-8 hrs/week
Manual reporting reduced
Business intelligence, data engineering, and applied AI with measurable outcomes.
Selected
Work
Selected work
PrepWise - AI-Powered Mock Interview Platform
Built a real-time AI interview platform using Whisper, MediaPipe, FastAPI, WebSockets, and Docker to analyze live interview performance and deliver instant multi-modal feedback.
Maple Reinders Executive Analytics
Built Power BI dashboards and reporting workflows across finance, operations, forecasting, margin, resource planning, operational KPI, and risk use cases.
Amazon Reviews ETL Pipeline
Processed 34.7M JSON review records using Pig, Hive, SSIS, SQL Server, and Power BI to create analysis-ready datasets for sentiment and product trend reporting.
Uber Trip Analytics
Developed an end-to-end Power BI analytics solution with star schema modeling and DAX to analyze raw trip logs, demand patterns, vehicle utilization, and revenue opportunities.
HR Analytics Dashboard
Created an optimized Tableau data model from an 8,000-row HR dataset generated with Python to analyze attrition patterns and leadership workforce insights.
Building reporting systems for finance, operations, and leadership.
Maple Reinders
Data Analyst
- —Launched 10+ Power BI dashboards across forecasting, margin, resource planning, operational KPI, and risk workflows, replacing Excel-based executive reporting.
- —Automated SQL, Power Query, SharePoint, and scheduled Power BI refresh workflows, reducing recurring manual reporting from 6-8 hours/week to refresh-ready updates.
- —Implemented a scheduled Vena ETL pipeline from MySQL to CSV loads, reducing FP&A reporting effort from 3-4 hours to 15-20 minutes.
- —Identified a critical operational issue in a WWMS through sensor data interpretation, helping avert a potential 7-day project delay.
- —Contributed to AI committee initiatives by evaluating AI agents and automation opportunities for contract review, scope identification, estimation, scraping, and operational workflows.
A practical analytics toolkit for BI, engineering, AI, and business execution.
BI & Reporting
Data Engineering
AI & Machine Learning
Cloud & Tools
Business Strengths
Academic foundation across applied AI, engineering, and analytics.
George Brown College
Post Graduate Diploma in Applied AI Solutions Development
Toronto, ON
University of Windsor
Master's in Electrical and Computer Engineering
Windsor, ON
University of Mumbai
Bachelor's in EXTC Engineering (Honours)
Mumbai, India
Contributing to technical communities and analytics-driven growth.
Google Developer Group, GDG Ajax
Sub-Committee Associate
- —Co-organized technical workshops with Google Developer Experts and 10+ speakers across AI and cloud infrastructure topics.
- —Managed event logistics and communications for 100+ attendees.
ComUnity Canada
Social Media Analyst
- —Analyzed social media engagement metrics to improve content strategy and community reach.
- —Supported promotional campaigns to increase event visibility and attendee registration.
Hackathon results, academic recognition, and measurable model performance.
3rd Place, HackTheBrain Hackathon
Placed third in HackTheBrain Hackathon with ComUnity Canada at Toronto Techfest.
Two-Time Dean's List Recipient
Recognized twice for exceptional academic achievement.
CrowdStrike Data Science Hackathon Runner-Up
Runner-up in the CrowdStrike Data Science Hackathon hosted by TechGig in 2020.
LET'S
TALK.
Open to Data Analyst, BI Analyst, Data Engineer, and Applied AI roles.
© 2026 Akash Patel.
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