./akash-patel --portfolio
Akash Patel
Data Analyst | BI Developer | Applied AI Builder
I turn fragmented business data into executive-ready dashboards, automated reporting pipelines, and AI-powered 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.
system boot: recruiter_profile loaded
mode: BI + data engineering + applied AI
output: dashboards / pipelines / decision systems
Akash Patel
Toronto, ON
10+
Power BI dashboards launched
6-8 hrs/week
Manual reporting reduced
34.7M
Records processed
70%
Data prep time reduced
data product lifecycle
Fragmented data to executive action
source
Excel / SQL / JSON / SharePoint / Vena
transform
Power Query / SSIS / ETL / Python
model
DAX / star schema / semantic models
dashboard
Power BI / Tableau / executive reporting
decision
forecasting / margin / risk / operations
Portfolio pipeline
A data portfolio structured like a production analytics pipeline.
Raw Learning + Data Foundations
Engineering education, applied AI training, SQL/Python foundations, and hands-on exposure to messy operational datasets.
Education / fundamentals / raw datasets
Transformed Systems in Production
Power BI, Power Query, SharePoint, Vena, and ETL workflows that convert scattered reporting inputs into reliable refresh-ready assets.
Automation / modeling / dashboards
Executive-Ready Decision Products
Leadership dashboards, forecasting workflows, risk analytics, and applied AI tools that turn analytics work into decisions.
Business impact / leadership visibility
About
Business intelligence, data engineering, and applied AI with measurable outcomes.
I combine business intelligence, data engineering, and applied AI to build reporting systems that help teams move from scattered data to clear action. My work spans executive dashboards, FP&A reporting, operational KPI tracking, ETL automation, and AI-powered analytics workflows across finance, operations, and construction analytics.
Featured experience
Building reporting systems for finance, operations, and leadership.
Maple Reinders
Data Analyst
Toronto, ON / 2025 - Present
Building analytics and reporting systems across Finance, Operations, and Leadership to improve visibility into forecasting, margin, resource planning, operational KPIs, and risk workflows.
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.
Selected work
Projects with concrete data, systems, and business outcomes.
measured impact
Enabled instant feedback across speech, visual cues, and interview performance signals.
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.
measured impact
Launched 10+ dashboards and reduced recurring manual reporting from 6-8 hours/week to refresh-ready updates.
Maple Reinders Executive Analytics
Built Power BI dashboards and reporting workflows across finance, operations, forecasting, margin, resource planning, operational KPI, and risk use cases.
measured impact
Reduced stakeholder data preparation time by 70%.
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.
measured impact
Identified opportunities to reallocate underutilized vehicles into peak demand windows.
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.
measured impact
Reduced manual reporting and accelerated root-cause analysis for employee attrition.
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.
Technical stack
A practical analytics toolkit for BI, engineering, AI, and business execution.
BI & Reporting
Data Engineering
AI & Machine Learning
Cloud & Tools
Business Strengths
Education
Academic foundation across applied AI, engineering, and analytics.
Toronto, ON
George Brown College
Post Graduate Diploma in Applied AI Solutions Development
Windsor, ON
University of Windsor
Master's in Electrical and Computer Engineering
Mumbai, India
University of Mumbai
Bachelor's in EXTC Engineering (Honours)
Community & leadership
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.
Recognition
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.
Contact
Let's build analytics systems leadership can act on.
Open to Data Analyst, BI Analyst, Data Engineer, and Applied AI roles.