Saleena Farrukh

I’m a data and product analytics professional with 2+ years of experience in data analysis, business analysis, and product analytics, leveraging SQL, Python, and cloud platforms to deliver scalable data products across cross-functional teams. I’m known for translating analytical findings into strategic, business-friendly insights that support decision-making—from IBM Cognos dashboards to interactive Python-built KPI reporting tools.

I also bring a practical, end-to-end mindset from my roles and projects. As a Content Creator/Artist, I applied consumer analytics and A/B testing to drive a 3M+ view content strategy, using engagement metrics and feedback to make actionable adjustments that improved outcomes. As a Registration Officer with Elections Canada, I generated 13 hourly voter turnout reports with 100% data accuracy by performing real-time data validation and maintaining a clean dataset with zero processing discrepancies.

In Agile environments, I enjoy requirements elicitation through interviews and workshops, user story creation, and acceptance criteria definition, partnering effectively with data engineering, data science, and business teams to drive continuous improvement. In my IBM Data Analyst capstone, I built an end-to-end ETL/ELT pipeline using Python (Pandas) to clean, normalize, and validate messy multi-regional survey data, then deployed a 3-tab interactive dashboard in IBM Cognos Analytics to deliver actionable recommendations. I’m naturally curious and analytical, and I consistently use critical thinking and logical problem-solving to validate data quality and surface insights from complex, evolving datasets.