A skilled data analyst with expertise in data analytics, machine learning, and data visualization. Proficient in Python, SQL, Power BI, and Tableau, with experience in data cleaning, statistical analysis, and predictive modeling. Worked on projects ranging from predicting disease risks in healthcare to analyzing customer retention trends for business growth. Key projects include: 🔹 Healthcare Data Analysis for Disease Prediction – Developed a machine learning model to predict disease risks using Python, Pandas, and Scikit-learn, improving early diagnosis accuracy by 20%. 🔹 Customer Retention Prediction Model – Built a predictive model using logistic regression and decision trees, achieving 85% accuracy in forecasting customer churn and optimizing engagement strategies. Strong background in analyzing sales trends, customer feedback, and social media data to generate strategic insights. Holds a Data Science Diploma from IIT Madras and multiple certifications in analytics and programming. Passionate about leveraging data for impactful decision-making, with strong problem-solving, analytical thinking, and communication skills.