Jigar Patel

Turning Data into Insights

Hi, I'm Jigar Patel

I'm a Data Analyst and AI practitioner passionate about transforming complex data into clear, actionable stories that drive business decisions.

Technical Skills

My toolkit for building and analyzing.

Data Analysis & Programming

Python
R
SQL

Data Visualization

Tableau
Power BI
Matplotlib
Seaborn

AI & Machine Learning

Regression
Classification
Clustering
LLM & RAG
Prompting

Tools & Technologies

Jupyter Notebooks
Microsoft 365
Trello

Currently Learning

dbt
Language Models
Git
Databricks
Vibe coding

Work Experience

Data/Product Analyst

The CanIndian(www.thecanindian.com)

May 2024 - Present
  • Increased subscriber base by 74% by analyzing campaign performance and identifying high-converting channels through cohort and funnel analysis.
  • Ran A/B tests on email subject lines and CTAs, increasing open rates from 40% to 60% and click-through rates by 25%.
  • Developed Tableau dashboards to track product-specific and website behavioral KPIs, including page views, session duration, click-through rates, and newsletter engagement, guiding product decisions that improved content consumption.
  • Built automated Python data pipelines enabling real-time data processing from multiple sources, reducing reporting time by 80%.
  • Integrated Google Analytics data to monitor website traffic patterns, user engagement, audience demographics, and web page performance, providing actionable insights for marketing strategy.
Building prototype AI-Powered PR/NOC Guidance Tool
  • Built and deployed a GenAI chatbot using OpenAI and LangChain for PR/NOC guidance, enabling natural language queries on immigration programs. Demo Video
  • Enhanced response accuracy through prompt engineering, RAG techniques, and integration of structured (government data) and unstructured sources (policy docs, news).
  • Prototyped a PR Bundling Web App with Firebase Studio (Gemini AI) to consolidate Canadian PR draws and provide role-based eligibility search (e.g., “PR pathways for a welder in Ontario”).

Business Intelligence Analyst

Joe Johnson Equipment

Mar 2023 - Apr 2024
  • Built and maintained 15+ automated dashboards in Power BI and Dynamics 365 to track pipeline health, win/loss rates, ARR/ACV trends, and sales metrics, improving decision-making efficiency by 40%.
  • Partnered with Sales, Finance, Service, and HR teams to monitor quota attainment, funnel conversion, and pipeline coverage, providing leadership with actionable insights to guide GTM strategies.
  • Automated sales quote generation in Dynamics 365 with Power Automate, reducing quote creation time by 90% (from 30 minutes to under 3 minutes), streamlining the lead-to-close process.
  • Leveraged SQL for ad hoc analysis and cross-functional reporting, generating insights on revenue trends, funnel performance, and operational KPIs to support leadership decision making.
  • Developed custom dashboards, reports, and process automations using Power Apps and Power Automate to improve GTM workflows, pipeline visibility, and cross-functional collaboration.

BI Analyst

Simcoe Muskoka District Health Unit

May 2021 - Sep 2022
  • Cleaned and standardized COVID-19 datasets using Excel/Power Query, ensuring 100% compliance with health reporting standards.
  • Built Tableau dashboards tracking daily infection rates, ICU capacity, and test positivity, helping reduce intervention response times by ~20%.

Data Analyst (Freelance)

Analytics Tale (E-commerce)

Feb 2021 - Jan 2022
  • Advised e-commerce leadership on data-driven growth strategy by analyzing 14 months of customer, sales, & ad campaign data.
  • Segmented customer cohorts and optimized ad spend across channels, helping drive a 3.5x year-over-year revenue increase.
  • Delivered the company's first-ever sales dashboard, improving visibility on sales trends, AOV, and customer retention metrics.

Featured Projects

A selection of my work in data and web development.

Screenshot of Customer Segmentation and Churn Risk Analysis
Customer Segmentation and Churn Risk Analysis

A customer segmentation project using K-Means clustering to group users based on behavior and uncover actionable insights.

Python
K-Means Clustering
Customer Segmentation
Tableau
Screenshot of Tableau VOTD Analysis & Automation
Tableau VOTD Analysis & Automation

An automated data pipeline to featch realtime time data evry day and analysis of Tableau's 'Viz of the Day' (VOTD) to identify top authors.

Python
Tableau
API
Data Automation
Screenshot of Cricket Player Performance Analysis
Cricket Player Performance Analysis

A comparative performance analysis of Sachin Tendulkar and Virat Kohli using data scraped from ESPN Cricinfo.

Python
Tableau
Web Scraping
Data Analysis

Interactive Dashboards

Explore the data and uncover insights for yourself.

Dashboard screenshot for Churned Dashboard

Churned Dashboard

The Churned Dashboard provides an overview of customer churn, highlighting the number and percentage of customers lost over time. It features a What-If analysis projecting potential revenue risk based on varying churn scenarios. The dashboard also includes a detailed tab showing individual customer churn probabilities, enabling targeted retention efforts. These insights help businesses understand churn dynamics and forecast financial impact. This tool supports proactive strategies to reduce churn and protect revenue.

Tableau
View Interactive Dashboard

Medium Blog

Sharing insights on data, analytics, and AI.

Snowflake SQL Interview Question: Marketing Touch Streak

In this article, I am explaining how I solved a SQL challenge to identify CRM contacts who had marketing touches for three or more consecutive weeks and at least one ‘trial_request’ event, using date functions, window functions, and table joins.

Date Functions
Window Functions
Table Joins
Read on Medium

Facebook SQL Interview Question: Page Recommendation

I worked on a SQL challenge to build a page recommendation system based on users’ friendships and the pages their friends follow. The goal was to recommend the most popular page among friends that the user hasn’t yet followed, using two-way friendship relationships, ranking with window functions, and filtering out already followed pages.

Window Functions
Self-Join
Read on Medium

Education

Master of Science in Statistics

The Maharaja Sayajirao University

Focused on hypothesis testing, probability theory, statistical distributions, machine learning, and databases.

Postgraduate Certificate in Big Data Analytics

Georgian College

Focused on big data technologies including Hadoop, Spark, and Scala.

Certifications

dbt Fundamentals

dbt Labs

Generative AI Fundamentals

Databricks

SQL (Advanced)

HackerRank

Machine Learning

Stanford University / Coursera

Interests & Hobbies

Hiking
Experimental Cooking
Pickleball
Vibe Coding

Get In Touch

Let's connect, solve and build something amazing.

I'm always open to discussing new projects, creative ideas, or opportunities to be part of an ambitious team. Feel free to reach out.