A data-driven problem solver passionate about business analytics, AI, and machine learning. I turn complex data into actionable insights that drive real-world impact in healthcare, finance, and consumer analytics. Always eager to explore AI-driven decision-making, predictive modeling, and innovative data solutions.
🔹 Predictive Analytics & AI – Building data-driven models to forecast trends, assess risks, and optimize business strategies.
🔹 Data-Driven Decision Making – Transforming complex datasets into valuable insights for smarter business choices.
🔹 Machine Learning & Optimization – Applying ML techniques to enhance healthcare, finance, and product intelligence.
🔹 Business Intelligence & Market Research – Analyzing consumer behavior, CLV modeling, and competitive positioning.
🔹 Developed ML models to forecast healthcare usage using MEPS data to optimize financial planning.
🔹 Improved prediction accuracy using Random Forest, SMOTE, and XGBoost.
🔹 Analyzed 125K+ data points to uncover mental health risk factors.
🔹 Used machine learning & Power BI to predict anxiety trends with 98% accuracy.
🔹 Built AI-powered models to assess diabetes & heart disease risks using public health data.
🔹 Developed early intervention strategies based on high-risk group segmentation.
🔹 Segmented users in e-learning platforms (Coursera, Udemy, LinkedIn Learning) based on customer lifetime value (CLV).
🔹 Designed data-backed retention and pricing strategies using predictive analytics.
🐍 Python (Pandas, NumPy, Scikit-Learn, XGBoost) | 🗄️ SQL | ☁️ Snowflake | 🏛️ Oracle
🤖 Predictive Modeling | 📊 Data Wrangling | 🔍 Feature Engineering | 📈 Regression & Clustering
📊 Tableau | 🟡 Power BI | 📉 Data Storytelling
📌 Market Research | 📊 Trend Analysis | 💡 Competitive Strategy
🔗 LinkedIn – Let’s talk about business analytics, AI, and data science!
🖥️ GitHub – Explore my data-driven projects and machine learning solutions!
Always open to collaborations, discussions, and innovative ideas in the world of AI and analytics! 🚀