Hi,
I'm Hemavarthini
Data Engineer at Optum
• Integrated STFT and MFCC for audio processing and OpenCV for facial expression analysis, improving emotion detection accuracy by 35%.
• Combined audio and video outputs using decision-level fusion, increasing overall emotion recognition accuracy by 40%.
• Achieved 92% accuracy in recognizing 5+ emotional states.
• System designed for applications in conversational AI, recommendation systems, and smart technologies.
Skills: OpenCV, PyTorch, Keras, CNN, Machine Learning, Deep Learning, Hyperparameter Tuning.
• Developed a real-time emotion detection system with 90% accuracy for 7 emotions using YOLO and OpenCV.
• Reduced image processing latency by 60%, improving real-time performance.
• Processed 1,000+ images, optimizing for Jetson Nano’s hardware and improving classification speed by 50%.
• Detects emotions including happy, sad, disgust, neutral, fear, angry, and surprise.
Skills: OpenCV, YOLO, Face Detection, Keras, Deep Learning, Machine Learning.
• Built a predictive model using SVM with 90% accuracy to classify breast tumors as benign or malignant.
• Improved classification accuracy by 20% by analyzing key features like lump thickness and mitotic rate.
• Achieved a 15% reduction in classification errors through cross-validation and hyperparameter tuning.
• Designed for early breast cancer detection using machine learning techniques.
Skills: SVM, Model Development, EDA, Machine Learning, Analytical Skills, Deep Learning.
👨💻 What I Do: I’m a Data Engineer at Optum, where I love building and optimizing data pipelines using Python.
🛠️ Tech Skills: My toolkit includes Python, Machine Learning, Azure Data Factory, Databricks, PowerBI, and SQL—Python is always at the center of my work!
💡 Passionate About Python & ML: I thrive on exploring new ways to leverage Python in machine learning to solve complex problems.
💻 LeetCode Enthusiast: I’ve mastered 385+ LeetCode questions, sharpening my problem-solving skills and proficiency in data structures and algorithms.
🤝 Let’s Connect: I’m eager to connect with fellow Python enthusiasts and machine learning lovers—let’s chat about all things Python and ML!
