🎓 Master’s Student in Data Analytics
📊 Focused on Data Science, Machine Learning & Business Intelligence
🔎 Specializing in AI-driven Predictive Analytics, Big Data Processing, and Advanced Data Visualization
📌 Continuously experimenting with new algorithms and tools to turn complex data into actionable insights
- Languages: Python, R, SQL, Java, C/C++
- Data Engineering: ETL pipelines, Apache Airflow, Apache Spark
- Big Data: Hadoop, Spark, NoSQL (MongoDB)
- Libraries/Frameworks: Scikit-learn, TensorFlow, PyTorch, Keras
- Techniques: Regression, Classification, Clustering, Time Series Forecasting (ARIMA, LSTMs), NLP
- Model Deployment: Docker, Kubernetes, Flask/Django APIs for ML serving
- Tools: Tableau, Power BI, Matplotlib, Seaborn, D3.js
- Dashboards: Interactive and real-time visualization solutions
- Platforms: AWS, Google Cloud Platform, Azure
- Tools: Docker, Kubernetes, CI/CD pipelines (GitHub Actions, Jenkins)
🚀 Featured Projects
📌 Predicting Credit Card Customer Attrition
💡 Engineered a robust churn prediction model leveraging Logistic Regression, Gaussian Naïve Bayes, and ARIMA to forecast customer attrition with scalable data pipelines.
📌 Customer Segmentation using Clustering
💡 Applied K-Means and Hierarchical clustering algorithms to segment customers, enabling targeted marketing strategies through detailed statistical analysis.
📌 Stock Price Prediction
💡 Designed and deployed a time-series forecasting model using ARIMA and LSTMs, integrating real-time data streams and automated model retraining.
📌 Portfolio: shrut-analytica
💼 LinkedIn: Your LinkedIn Profile
📧 Email: shrutd.prajapati@gmail.com
🔥 "Data is the new oil, and I refine it into powerful, actionable insights!"