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rishabhj29/README.md

Hi there! I'm Rishabh 👋🏻

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.

📊 What I Do

🔹 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.

🚀 Featured Projects

🏥 Savvi Financial – Predictive Healthcare Planning

🔹 Developed ML models to forecast healthcare usage using MEPS data to optimize financial planning.
🔹 Improved prediction accuracy using Random Forest, SMOTE, and XGBoost.

🧠 Mental Health Disorder Analysis

🔹 Analyzed 125K+ data points to uncover mental health risk factors.
🔹 Used machine learning & Power BI to predict anxiety trends with 98% accuracy.

💡 Chronic Disease Risk Prediction

🔹 Built AI-powered models to assess diabetes & heart disease risks using public health data.
🔹 Developed early intervention strategies based on high-risk group segmentation.

📈 Consumer Behavior & CLV Analysis

🔹 Segmented users in e-learning platforms (Coursera, Udemy, LinkedIn Learning) based on customer lifetime value (CLV).
🔹 Designed data-backed retention and # strategies using predictive analytics.

🛠️ Skills & Tools

🔹 Programming & Databases

🐍 Python (Pandas, NumPy, Scikit-Learn, XGBoost) | 🗄️ SQL | ☁️ Snowflake | 🏛️ Oracle

🔹 Machine Learning & AI

🤖 Predictive Modeling | 📊 Data Wrangling | 🔍 Feature Engineering | 📈 Regression & Clustering

🔹 Data Visualization & Business Intelligence

📊 Tableau | 🟡 Power BI | 📉 Data Storytelling

🔹 Business & Product Analytics

📌 Market Research | 📊 Trend Analysis | 💡 Competitive Strategy

💬 Let's Connect!

🔗 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! 🚀

Popular repositories Loading

  1. -SWEETGUARD-Unveiling-Your-Diabetes-Destiny- -SWEETGUARD-Unveiling-Your-Diabetes-Destiny- Public

    SWEETGUARD 🛡🔍 – A data-driven diabetes risk assessment tool that leverages machine learning and public health datasets to predict individualized diabetes risk scores. Using Python 🐍, Power BI 📊, an…

    HTML

  2. Mental-Health-Disorder-Analysis Mental-Health-Disorder-Analysis Public

    Mental Health Disorder Analysis 🧠💙 uses data and AI 🤖 to predict anxiety trends, highlighting the impact of life expectancy, CO₂ emissions, and green spaces 🌿. Findings support nature-based therapi…

    Python

  3. NASA-Challenger-Disaster-Case-Study NASA-Challenger-Disaster-Case-Study Public

  4. Chronic-Disease-Risk-Prediction Chronic-Disease-Risk-Prediction Public

    Chronic Disease Risk Prediction 🏥 uses machine learning 🤖 to analyze BRFSS data and identify key risk factors for **diabetes and heart disease**. Models like Random Forest & Decision Trees predict …

    Python

  5. Consumer-Behavior-CLV-Analysis-in-Educational-Subscription-Services Consumer-Behavior-CLV-Analysis-in-Educational-Subscription-Services Public

    Consumer Behavior & CLV Analysis 📚🔍 explores e-learning subscription trends, segmenting users and estimating CLV to optimize retention. Using Python, Enginius & surveys, it identifies four key user…

  6. Savvi-Financial-Predictive-Healthcare-Cost-Planning Savvi-Financial-Predictive-Healthcare-Cost-Planning Public

    Savvi Financial – Predictive Healthcare Cost Planning 📊💰 leverages AI & predictive analytics to forecast healthcare usage and costs, helping clients financially prepare for medical expenses. Using …