Data Analyst
Current- Conducted data analysis and predictive modelling using SQL and Python to deliver actionable insights for engineering projects, enhancing data-driven decision-making and strategic planning.- Developed and delivered interactive dashboards and visual reports in Power BI and Excel, enabling stakeholders to visualize key metrics and trends for informed business decisions.- Leveraged statistical analysis techniques to evaluate data sets, ensuring insights were backed by rigorous quantitative methods.- Facilitated stakeholder engagement through presentations that clearly articulated technical findings and strategic recommendations, strengthening client relationships and project alignment.- Collaborated with clients to identify business needs and deliver tailored data-driven solutions, significantly enhancing operational efficiency and project outcomes.- Implemented A/B testing, hypothesis testing (T-test, ANOVA, Z-Test, Chi-Square Test) and data validation techniques to assess business strategies, providing empirical evidence for process improvements and innovations.- Engaged in data profiling to identify and resolve data quality issues, ensuring integrity and accuracy in reporting and analytics.- Designed and maintained business intelligence tools to monitor key performance indicators (KPIs) and track project progress against established benchmarks.- Utilized data mining techniques and machine learning models such as logistic regression and decision trees to extract insights from large datasets, inform strategic initiatives and enhance customer engagement.- Created detailed documentation, including business requirements documents (BRD) and functional specifications, to support project development and implementation.- Led workshops and brainstorming sessions to define project scope and prioritize requirements, fostering a culture of continuous improvement and innovation.