I speak the language of data- transforming numbers into meaningful stories that enable teams to make robust and informed data-driven decisions.

Work Experience


Canadian Tire Corporation

Operational Communications Analyst

Aug 2025 - Present

  • Designed and delivered recurring and ad-hoc analytical insights to cross-functional teams and AVP/VP leadership by leveraging Google Analytics, ThoughtSpot, and Power BI to evaluate engagement trends across communications sent to 550+ stakeholders.
  • Built and maintained data models and Power BI dashboards to analyze spend patterns and operational efficiency, improving financial visibility and enabling $535K+ in annual cost savings through data-driven decision-making.
  • Led time-series and YoY analysis of invoices and OpEx data by reconciling Coupa transactions with journal entries, automating refresh logic in Power BI to ensure accurate and timely reporting.
  • Engineered an enterprise-wide Capacity Calendar data model for 505 Canadian Tire and 69 Party City stores by integrating multi-source operational data, enabling leadership to optimize workforce planning and resource allocation.
  • Applied an automation-first, analytics-driven approach by collaborating with stakeholders to identify repetitive workflows and leveraging Microsoft 365 Copilot–based agents to automate data preparation and reporting tasks, reducing manual effort by 30% and saving several hours weekly.

Neuratwin Inc.

AI Developer (Co-op)

Jan 2024 - Apr 2024.

  • Led development of a personalized GPT-based system, enabling users to query personal documents through LLMs using Python; designed retrieval workflows that improved response relevance and increased user efficiency by 33%.
  • Implemented semantic search and retrieval pipelines by chunking documents, generating embeddings with OpenAI APIs, and indexing vectors in Pinecone, reducing query latency by 47% while improving contextual accuracy.
  • Conducted systematic prompt engineering and evaluation, authoring 350+ diverse queries across tones and languages to test robustness, reduce hallucinations, and improve response consistency by 17%.

Tata Consultancy Services

Data Analyst

Oct 2021 - Aug 2022

  • Performed exploratory data analysis and statistical analysis on Citibank financial datasets using Python and SQL to uncover trends, anomalies, and drivers of operational inefficiencies, improving decision-making speed by 35%.
  • Designed and optimized complex SQL queries and data pipelines, improving query performance by 27% and enabling faster downstream analytics and reporting.
  • Completed structured training and certifications in Python, SQL, SAS, Power BI, and Agile analytics practices, strengthening foundations in data-driven problem solving.

My Dashboard

3.5+

Years of Experience

125+

Datasets Analyzed

40k+

LinkedIn Impressions

40+

Kaggle Upvotes

Company: Canadian Tire Corporation

Role: Operational Communications Analyst

I'm strong at building connections and thrive as a collaborative team player. I bring an automation-first mindset: whenever a task is repetitive or manual, I look for ways to automate and optimize it. I also enjoy problem-solving and approach challenges with a focus on efficiency, clarity, and delivering impactful results.

Projects

Projects

Below are the sample Data Analytics projects on Python, SQL, MS Excel, Statistics, Machine Learning & BI Tools.

Analyzed Sales of a B2C Business

Increased the Profit Margin from 20% to 33% with just a limited one-month data and decreased the operational cost

Coffee Shop Sales Analysis

Leveraged Pivot Tables and created a dashboard in Microsoft Excel, and displayed KPIs and various charts

Kaggle's Titanic Competition

Titanic Survival Prediction Dataset. Achieved 4617/15692 rank with a score of 0.7751

Kaggle's Mnist dataset

Correctly identify digits from a dataset of tens of thousands of handwritten images.

Customer Churn Prediction

Analyzed a highly imbalanced dataset and applied ML algorithms to understand the cause of churn


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