As a Freelance Data Analyst, I help businesses, startups, and researchers transform raw data into actionable insights that drive better decisions. Over the past few years, I have worked with clients on data analysis, machine learning, dashboard development, and research projects, delivering reliable, data-driven solutions tailored to their business needs. My experience includes cleaning and preprocessing complex datasets, performing exploratory data analysis (EDA), building automated ETL pipelines, creating interactive Power BI dashboards, writing optimized SQL queries, and automating reporting workflows using Python. I have collaborated remotely with researchers to develop reproducible analytical workflows, engineer features, evaluate machine learning models, and deliver accurate, well-documented results that support research and business objectives.

My technical expertise includes **Python, SQL, Pandas, NumPy, Scikit-learn, Power BI, Tableau, Microsoft Excel, Power Query, MySQL, Snowflake, Git, and GitHub**. I regularly leverage AI tools such as **ChatGPT, Claude, and Gemini** to accelerate data analysis, SQL development, documentation, and workflow automation while carefully validating every output to ensure accuracy and reliability.

One of my key projects was an AI-Powered Fraud Detection System, where I designed and developed an end-to-end machine learning pipeline capable of identifying fraudulent banking transactions with 93% precision and 89% recall through advanced data preprocessing, feature engineering, and model evaluation. I also built an Automated Sales Analytics Dashboard using Python, SQL, and Power BI, developing an automated ETL pipeline that reduced manual reporting efforts by approximately40% while providing interactive dashboards for monitoring sales performance and key business metrics. In addition, I have supported multiple academic research projects by analyzing structured datasets, performing statistical analysis, preparing high-quality visualizations, and assisting researchers with machine learning experimentation and data interpretation.

I believe that effective data analysis is not just about generating reports—it's about solving business problems. My approach focuses on understanding the client's objectives, maintaining high data quality, communicating insights clearly, and delivering scalable, well-documented solutions on time. Whether you need advanced SQL analysis, Python automation, business intelligence dashboards, research support, data cleaning, or end-to-end analytics solutions, I am committed to providing professional, accurate, and business-focused results that create measurable value.