Akarshit Aulakh.
Data & Business Analytics · Mississauga, Ontario

I work on operational performance — measuring it, and improving it.

I build Power BI reporting and Python and SQL pipelines that show operations teams what is actually happening. I came to analytics from a fabrication floor, which is why I define KPIs before I build charts and validate against source records before anything reaches a business user.

Power BI · DAX SQL Python Six Sigma Green Belt MEng, Western

Projects

KPI design · Python · Power BI

Automotive Aftersales Analytics Platform

Self-directed · simulated data

An end-to-end analytics solution for a simulated 50-branch service network across 5 regions and 3 branch tiers. I researched aftersales operations to design a KPI framework — order mix, DCSI satisfaction, complaints per 1,000, turnaround time, on-time delivery, repeat-repair rate, warranty penetration — with written metric definitions applied consistently across every report. Then I engineered an 1,800-workshop-month dataset covering 36 months with realistic regional and tier-level variation, and built a reusable Python layer of parameterised aggregation functions returning both tables and charts.

PythonPandasSQLPower BIKPI framework
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ETL · Data quality

Business Order Data Processing Pipeline

A modular ETL pipeline — loader, cleaner, analyzer, reporter — processing raw order data against a product master using only core Python, with concerns separated for maintainability. Twelve validation rules cover duplicate IDs, missing fields, invalid quantities, price mismatches and malformed dates. Every failure routes to a rejection log with an explicit reason rather than being silently dropped, so discrepancies can be investigated instead of disappearing.

PythoncsvValidationModular design
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SQL · Data modelling

E-Commerce Database & SQL Analysis

A normalized five-table schema with primary and foreign keys and NOT NULL and CHECK constraints, documented in an ERD for stakeholder review. On top of it, 60+ analytical queries spanning joins, aggregations with HAVING, CASE logic and correlated subqueries — answering revenue by customer segment, gross profit, payment failure rate and lapsed-customer questions.

SQLERDNormalizationMySQL
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Python · Business Logic · Input Validation

E-Commerce Database & SQL Analysis

Designed a rules engine deriving savings rate and EMI-to-income ratio from customer inputs to produce risk tiers, value tiers, and three-way loan decisions (approve / reject / manual review) with justification for each outcome.

PythonBusiness Logic ImplementationModular Software DesignInput Validation & Error Handling
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Dashboarding · Data cleansing

Business Performance Dashboard

Three related datasets cleansed, with a formal cleaning log recording each issue, the affected row count and the remediation rationale — an auditable trail of every data quality decision. The dashboard carries calculated revenue and margin fields, 12 pivot analyses and six visuals with KPI cards for revenue, gross profit, total orders and cancellations, plus slicers and chart titles that state the finding rather than naming the chart.

ExcelPivot tablesKPI cardsCleaning log
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ML · Team competition

Kitchen Prep Time Prediction

Zomathon 2026 · Team Datalytics

A team entry for a live food-delivery logistics challenge run by Coding Ninjas with Eternal/Zomato. We framed the business problem against baseline operating metrics for rider wait time, ETA error, order delay rate and rider idle time, then designed a multi-phase prediction and verification pipeline using a LightGBM ensemble that fused historical context with live operational signals — with reliability gating so the system degraded gracefully when any single signal failed.

PythonLightGBMFeature engineering
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Experience

Mar 2026 — Present

Data Scientist

AMPM Solutions · Remote
  • Build and maintain Power BI and Tableau reports end to end — data preparation, visualization development, DAX measures and calculated columns — published to Power BI Service workspaces on scheduled refresh.
  • Build SQL queries and data pipelines consolidating records from multiple source systems into analysis-ready datasets, with validation checks at each stage.
  • Elicit reporting requirements from business stakeholders, develop test cases, and run end-user acceptance testing before release, in Agile cycles tracked in Jira.
  • Develop and evaluate predictive models in Python with scikit-learn, Pandas and NumPy, using cross-validation and error metrics to confirm models generalise.
Oct 2024 — Present

Freelance Design Consultant

Self-employed · Remote
  • Run client engagements end to end for clients across industries — requirements gathering, feasibility studies and delivery — managing the full project lifecycle independently.
  • Translate client briefs into technical specifications and documentation packages, sustaining a typical three-day turnaround from brief to validated prototype.
  • Earned the Microsoft Power BI Data Analyst, IBM Data Analyst, Tableau and Data Drive Decision Making with GenAI (IIM Mumbai) certifications concurrently, and built five end-to-end analytics projects.
  • Completed Forage job simulations in Data Science (BCG X) and Data Analytics (Deloitte).

Capabilities

Business intelligence
Power BI , Tableau, IBM Cognos Analytics, Excel
Languages
Python, SQL, MATLAB
Analytics libraries
Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly
Databases
PostgreSQL, MySQL, relational schema design, normalization, ERD modelling
Business analysis
Requirements elicitation, KPI and metric definition, test case development, UAT, Agile delivery, stakeholder management
Statistics
Exploratory data analysis, hypothesis testing, regression, cross-validation, A/B testing, causal inference
Tools
Git, GitHub, Jupyter Notebook, Jira, SharePoint
Certifications
· Microsoft Power BI Data Analyst · IBM Data Analyst · Data-Driven Decision Making with GenAI (IIM Mumbai) · Data Visualization with Tableau

Education

Sep 2023 — Aug 2024

Master of Engineering, Mechanical Engineering

Western University · London, Ontario · GPA 3.7 / 4.0
Aug 2017 — Jul 2021

Bachelor of Engineering, Mechanical Engineering

Chitkara University · Punjab, India · GPA 3.8 / 4.0

Let's talk

Open to full-time roles across Canada. Authorized to work in Canada.