I am a Data Analyst and BI Developer focused on transforming data into actionable insights that support better decision-making. My work bridges analysis and visualization, helping move organizations from understanding what happened to knowing what to do next.
I believe data is only valuable when it drives decisions. My goal is to ensure every analysis and dashboard I build contributes to clarity, impact, and measurable business growth.
Performing EDA, data cleaning, feature understanding, and statistical summaries
Designing insight-driven dashboards using Power BI, Tableau, Matplotlib, and Seaborn
Working with SQL queries, joins, filtering, grouping, and data extraction
Building simple predictive models using Python, Pandas, and Scikit-learn
Decision-support analytics project that quantifies revenue at risk using churn and CLV, and evaluates retention strategies through ROI-driven Power BI dashboards.
Decision-support analytics for ODI squad selection using post-2023 performance data, age risk, and role balance, delivered through interactive Power BI dashboards.
End-to-end retail analytics project that integrates SQL-based KPI engineering, Python analysis, and Power BI dashboards to evaluate marketing efficiency and support scenario-based decision making.
Operational BI project that evaluates inventory efficiency, demand–supply alignment, and promotion effectiveness using SQL-engineered KPIs and interactive Power BI dashboards for decision support.
End-to-end churn analysis using SQL, Python, and Power BI to identify key churn drivers, customer risk segments, and actionable retention insights.
SQL-driven RFM customer segmentation using transactional data to identify high-value, loyal, and at-risk customer groups, visualized through Tableau dashboards.
Extracting insights from raw data through structured analysis and exploration.
Querying, transforming, and aggregating data for analytics workflows.
Designing dashboards that communicate insights clearly to stakeholders.
Building and evaluating models to support forecasting, churn analysis, and data-driven decision-making.
Validates advanced skills in statistical analysis, machine learning, regression modeling, A/B testing, and predictive analytics using Python, with a focus on business decision-making.
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Validates proficiency across the data analytics lifecycle, including SQL, Python, data cleaning, R programming, and visualization, with a focus on actionable business insights.
View CertificateI’m open to collaborating on data analytics, BI, and decision-focused projects, or discussing how data can drive measurable business outcomes. Let’s connect and explore how insights can turn into impact.