Analytical professional with 7+ years of experience as a Quality Supervisor at TaskUs, transitioning into AI-driven Data Analytics. Skilled in SQL, Python, Power BI, Tableau, machine learning, prompt engineering and LLM-assisted workflows.
My experience combines operational leadership with analytics, business intelligence and modern AI capabilities to help teams make better, faster decisions.
SQL, Python, Power BI, Tableau, Advanced Excel, dashboard development, KPI reporting, data visualization, ETL, data cleaning and data validation.
Machine learning, Generative AI, prompt engineering and LLM-assisted workflows for SQL/Python development, reporting and analysis.
Requirement gathering, stakeholder management, root cause analysis, Agile methodology, Jira, UAT and process improvement.
Building practical capability across AI, analytics, machine learning, BI and modern LLM tools including ChatGPT, Claude AI, Gemini and Copilot.
Designed KPI dashboards and automated operational reports for leadership decision-making; performed trend analysis and Root Cause Analysis; collaborated with cross-functional stakeholders; automated recurring reports using SQL, Advanced Excel and AI-assisted scripting; conducted data validation and quality audits; supported UAT, documentation, process improvement, coaching and team mentoring.
Projects and technical details are based on the portfolio content developed from my resume.
Analyzed the Brazilian Olist e-commerce dataset using PostgreSQL and Jupyter Notebook to evaluate revenue trends, month-over-month growth, customer purchasing behavior, product performance, seller performance and order patterns. Built business-focused SQL analysis using JOINs, CTEs, aggregations, CASE statements, date functions and window functions.
View Project ↗Developed a credit risk loan analysis project using SQL and Python to analyze loan approval and customer risk patterns. Performed data cleaning, EDA, KPI reporting and SQL-based business analysis. Built visualizations and a Logistic Regression model to predict loan approval outcomes and identify high-risk applicants.
View Project ↗Analyzed IPL data using SQL and Python and presented insights through Tableau dashboards, focusing on team, player and match-level analysis.
View Project ↗Performed SQL-based Netflix analysis using JOINs, GROUP BY, CASE statements and aggregations to answer business questions and identify content trends.
View Project ↗Analyzed US airline data using SQL and Python with data visualization and trend analysis to identify operational patterns and business insights.
View Project ↗Used prompt engineering with ChatGPT and Claude AI to support SQL query generation, Python data-cleaning scripts and report narratives, improving the analytics workflow.
View Project ↗Let's discuss how analytics, business intelligence and AI can support better decisions.