I am an analytical and detail-oriented Data Analyst with a strong foundation in data science, statistics, and business problem-solving. I specialize in transforming raw data into meaningful insights that support strategic decision-making and business growth. My areas of expertise include data cleaning, exploratory data analysis, data visualization, dashboard development, and predictive analytics using tools such as Python, SQL, Excel, Power BI, and Tableau. I enjoy working with complex datasets to uncover trends, identify patterns, and communicate actionable insights through clear visual storytelling. I am also passionate about building automated workflows and scalable analytics solutions that improve efficiency and support data-driven decision-making. With hands-on experience across real-time and structured datasets, I consistently strive to bridge the gap between data and business outcomes.
Python
SQL
Data visualization
Power BI
Machine Learning
Modern animated portfolio built with HTML, CSS & JS.
Machine learning model to predict telecom customer churn using Python & SQL with Power BI dashboard insights, EDA, and predictive analysis for retention improvement.
The project is to develop a predictive analytics tool that uses machine learning and statistical models to forecast potential security breaches based on historical data.
Let’s work together — I’m open to freelance & full-time opportunities.