Somanchi Poorna Sobhita

To secure a position as an Software Engineer in the IT industry where my knowledge of Machine Learning and skills in Python, Machine learning algorithms, data preprocessing and cleaning, Feature Engineering, Deep Learning, Natural language Processing, and Computer Vision can be effectively utilized for the growth of an organization.

Drowsiness Detection System

• Developed a real-time drowsiness detection system using computer vision techniques and facial landmarks analysis.
• Implemented a Python script utilizing libraries such as OpenCV, Dlib, and imutils for facial landmark detection and eye aspect ratio calculation.
• Designed an algorithm to monitor eye closure patterns indicative of drowsiness, triggering alerts when significant fatigue is detected.
• Integrated sound notifications using Pygame mixer to alert users in critical situations.

Support Vector Machines (SVM) Project - Iris Flower Classification

• Utilized Support Vector Machines (SVM) algorithm for classification on the famous Iris flower dataset.
• Conducted Exploratory Data Analysis (EDA) to visualize relationships between features and species of iris flowers.
• Trained the SVM model using scikit-learn's SVC class and made predictions on the testing data.
• Evaluated model performance using confusion matrix and classification report metrics.
• Employed Grid Search for hyperparameter tuning to optimize model performance.

• Successfully performed multiple dance routines at renowned film festivals and the prestigious Odissi Festival, organized in stadium venues.
• Attained a top-4 position in class 10 among all campuses of Lotus National School, showcasing consistent academic excellence
• Awarded a prestigious gold medal in Kho Kho and a silver medal in dart throw at school competitions, showcasing dedication to sportsmanship

• English
• Telugu
• Hindi

• Clay Making
• Reading Fiction Books
• Pastel Art

I HEREBY DECLARE THAT THE MENTIONED DETAILS ARE TO MY KNOWLEDGE.