Detail-oriented and data-driven Computer Science graduate with expertise in SQL, Python, and ETL processes, transforming raw data into actionable insights. Skilled in statistical analysis, machine learning, and data visualization, delivering a 20% improvement in project outcomes and a 30% reduction in reporting time through automated dashboards. Recognized as a Star Contributor and Innovation for Impact SDG Project Champion at Farhanas' BrainStation for driving innovative, data-driven solutions. Eager to contribute to a forward-thinking organization by leveraging analytics to optimize strategies and enhance performance.
Cost-Effective Data Solutions
Actionable Insights for Data-Driven Decisions
Efficient Data Processing for Timely Insights
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Transformed raw data into actionable insights using SQL, Python, and data visualization tools, driving informed decision-making.
Collaborated with cross-functional teams to deliver data-driven solutions, fostering innovation and achieving project goals.
Proficient in leveraging Python for advanced data analysis and automation, Excel for data manipulation and reporting, and SQL for efficient database management. Skilled in creating interactive dashboards and visualizations using Power BI, Tableau, and Metabase to transform complex data into actionable insights. Passionate about solving business challenges through data-driven solutions and delivering impactful results.
Skilled in transforming raw data into actionable insights using Python, SQL, and advanced analytics tools. Experienced in designing interactive dashboards with Power BI, Tableau, and Metabase to drive data-driven decision-making. Proficient in predictive modeling, statistical analysis, and process automation to enhance efficiency and deliver measurable results.
Pandas, Numpy, Keras, Tensorflow
MySQL, PostgreSQL, Microsoft SQL Server, Oracle, Snowflake, Bigquery
ETL Pipelines, Data Cleansing, Data Transformation
Power BI, Metabase, Tableu, Excel/Google Sheet, Looker Studio, Scikit-learn, Seaborn, Matplotlib
EDA, Time-Series Analysis, A/B Testing
Python Scripting (File Handling, Data Processing), Web Scraping (BeautifulSoup, Selenium)
Modeling Techniques
Linear Regression, Logistic Regression, Random Forest, Decision Tree, K-Means Clustering
Customer Segmentation, Churn Prediction
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