I transform complex data into actionable insights that drive business decisions. Specializing in statistical analysis, data visualization, and predictive modeling to solve real-world business challenges.
Expert in transforming raw, messy data into clean, structured datasets using Python (Pandas), SQL, and Excel. Specialized in handling missing data, outliers, and data normalization.
Applying statistical methods including hypothesis testing, regression analysis, and time series forecasting to extract meaningful insights from data.
Creating compelling, interactive visualizations with Tableau, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly) to communicate insights effectively.
Building machine learning models for classification, regression, and clustering using Scikit-learn, TensorFlow, and statistical modeling techniques.
Writing complex queries, optimizing database performance, and designing efficient data models for relational (MySQL, PostgreSQL) and NoSQL databases.
Developing comprehensive dashboards and reports that translate data into actionable business insights for stakeholders at all levels.
I leverage cutting-edge data analysis tools to transform raw data into actionable business insights. Below are my core competencies with industry-standard tools and libraries.
Extensive experience building interactive dashboards and web applications. Developed 15+ production dashboards for clients across finance, healthcare, and e-commerce sectors.
Daily use for exploratory data analysis, model development, and creating shareable analytical reports. Expert in notebook organization and best practices.
Leveraging Polars for high-performance data processing with large datasets. 5-10x faster processing compared to Pandas for many operations in production environments.
Deep expertise in data manipulation, cleaning, and transformation. Created reusable Pandas functions that reduced data preparation time by 40% for team projects.
Advanced query writing, optimization, and database design. Worked with PostgreSQL, MySQL, and BigQuery to extract insights from terabyte-scale datasets.
Building and deploying machine learning models for classification, regression, and clustering. Implemented models that improved prediction accuracy by 25% in client projects.
Developed a time series forecasting model to predict weekly sales for a major retail chain, improving inventory management and reducing stockouts by 22%.
View ProjectPerformed clustering analysis on 500K+ customer records to identify high-value segments, resulting in a 15% increase in marketing campaign ROI through targeted messaging.
View ProjectAnalyzed EHR data from 10K+ patients to identify factors influencing treatment success rates, leading to protocol changes that improved patient outcomes by 18%.
View ProjectI'm currently available for freelance projects, consulting, but I'm afraid not full-time because I'm currently working for a local warehouse company. Reach out to discuss how data analysis can help solve your business challenges.