Data Analyst Skilled in Python, SQL & Visualization
I am a Data Analytics and Data Science enthusiast with hands-on experience in transforming raw data into actionable business insights. With a background in Electronics and Communication Engineering, I have worked on real-world analytics projects involving marketing optimization, sales analysis, and business intelligence dashboards.
During my data science internship, I developed a Marketing Mix Model using Python and linear regression techniques that contributed to improving marketing ROI and campaign effectiveness through data-driven strategies. My experience includes data cleaning, feature engineering, statistical analysis, visualization, and predictive modeling using tools such as Python, Pandas, NumPy, Scikit-learn, SQL, PowerBI, Matplotlib, and Seaborn.
I have also worked on projects involving SQL-based business analysis and interactive PowerBI dashboards for e-commerce sales insights. I enjoy solving business problems with data and continuously learning new technologies in data science, machine learning, and analytics.
Skilled in Python, SQL, PowerBI, Excel, and statistical modeling, I am actively seeking opportunities in Data Analytics, Business Intelligence, and Data Science where I can contribute analytical thinking and data-driven decision-making skills.