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Data Analyst with 3+ years in SQL, Tableau & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with expertise in SQL, Tableau, and Python. Demonstrated ability to build data models, create interactive dashboards, develop ETL pipelines, and perform advanced data analysis to extract actionable insights. Proven skills in data manipulation, trend analysis, forecasting, and reporting to support business intelligence and self-service analytics.
Douglas College
Post Degree Diploma · Data Analytics
N/A – June 30, 2023
Amrita Vishwa Vidhyapeetham
Bachelors in Technology · Mechanical Engineering
N/A – June 30, 2021
Data Engineer - Personal Project - Yelp Data Pipeline (Python, AWS, Snowflake)
January 1, 2024 – May 1, 2025
Developed a Python-based ETL preprocessing pipeline to handle ~5Million Yelp reviews in JSON datasets by programmatically splitting them into 20 mini-files, enabling efficient parallel uploads to AWS S3 and optimizing cloud storage utilization, enabling a 70% reduction in upload time. Configured Snowflake to ingest 2GB of semi-structured JSON data directly from AWS S3 using COPY INTO operations and JSON file formatting to create structured tables, facilitating seamless analysis. Performed structured querying and exploratory analysis in Snowflake, incorporating sentiment analysis logic using tools like TextBlob and drawing actionable insights from semi-structured VARIANT columns.
Data Analyst - Personal Project - Food Delivery Insights (Advanced SQL)
January 1, 2024 – May 1, 2025
Designed and executed advanced SQL workflows on ~10,000 food delivery records, using ROW_NUMBER(), CTEs, and temporal logic to extract top-performing restaurants by cuisine, track customer acquisition trends, and segment behavior over time, employing statistical techniques for data analysis, enabling self-service analytics. Developed a churn detection framework that identified ~1,200 one-time users through anti-joins and date-based filters, supporting promo effectiveness analysis and lifecycle segmentation.
BI Analyst - Academic Projects – Tableau & Power BI dashboards
January 1, 2023 – December 1, 2023
Built a unified data model by linking multiple datasets through athlete and event dimensions, ensuring the upkeep of data systems and applied DAX functions and statistics to calculate KPIs like average medals by sport and performance trends by country. Developed interactive dashboards in Power BI and excel using pivot tables featuring bar charts, pie charts, time-series graphs, and geo maps to visualize Olympic performance, revealing insights such as the dominance of host nations. Leveraged Tableau for advanced trend analysis and forecasting on healthcare data, including linear trend lines and calculated fields to identify fluctuations in patient visits and estimate future volumes. Visualized demographic distributions using age-related segmentation, enabling deeper understanding of healthcare utilization patterns and improving interpretation through clean, story-driven dashboards.
Cultural Fit Analysis
The candidate's project-based experience, including academic and personal projects, shows initiative and a strong drive for learning and applying data analytics concepts. The breadth of tools and technologies used (Tableau, Power BI, SQL, Python, AWS, Snowflake) indicates a willingness to explore and adapt to different technical environments. The focus on practical application and problem-solving aligns well with a results-oriented culture. However, the lack of professional work experience might require additional mentorship in a corporate setting.
Soft Skills & Operational Fit
The candidate demonstrates analytical skills, problem-solving abilities, and stakeholder engagement through project descriptions. The ability to translate complex data into story-driven dashboards indicates good communication of insights. The project diversity suggests adaptability and a proactive approach to learning new technologies.