Chaya Swaroop S

Results-driven AI/Machine Learning Engineer with a proven track record at Innovate Networks E-Services Pvt. Ltd. Expert in developing predictive models and automating data analysis, enhancing efficiency by 30%. Proficient in Python and skilled in collaboration, delivering impactful solutions that address complex business challenges.

• Stock Market Forecasting
  Developed a time-series model using LSTM, ARIMA, and Random Forest with feature engineering (RSI, MACD, volatility), achieving 82% accuracy. Applied Grid Search for hyperparameter tuning.
  Tools: Python, TensorFlow, Keras, Pandas, Scikit-learn, Matplotlib, Seaborn
• Autonomous Lane & Traffic Sign Detection
  Built a prototype car using IR sensors for lane detection and Pi Camera + K-means Clustering for traffic sign recognition.
  Tools: Raspberry Pi, Python
• Telecom Churn Prediction System
  Designed a model using Logistic Regression and Random Forest to predict churn (Accuracy: 87%, Precision: 0.81, Recall: 0.88, F1: 0.846, AUC-ROC) with actionable insights via Power BI dashboards.
  Tools: Python, TensorFlow, Scikit-learn, Pandas, Power BI, VS Code
• Real-Time Stroke Detection Using Facial Analysis
  Built a real-time stroke detection system using MobileNetV2-based CNN to classify facial asymmetry in webcam or image input. Achieved 94.34% accuracy, 93.26% precision, and 92.89% recall.
  Tools: Python, TensorFlow, OpenCV, MobileNetV2, Scikit-learn