SHRAVANI SUBHEDAR

B.Tech student in Artificial Intelligence & Data Science with experience in data labeling, data cleaning, and analytics projects. Skilled in Python, SQL, Pandas, NumPy, and data visualization. Strong attention to detail, analytical thinking, and problem-solving skills to support data-driven decision-making.

• Emotion Detection System using CNN:
  Developed a Convolutional Neural Network (CNN) model to accurately classify human facial emotions.
  Preprocessed and augmented image datasets to improve model performance.
  Implemented using Python, TensorFlow/Keras, and OpenCV for real-time emotion detection.
  Achieved high accuracy in classifying multiple emotion categories, demonstrating skills in deep learning and computer vision
• Sales Data Analysis:
  Analyzed sales dataset using Python, Pandas, and Matplotlib to extract actionable insights from product, region, and monthly sales data.
  Performed data preprocessing including date conversion, grouping, and aggregation to calculate total sales, product-wise sales, region-wise sales, and monthly sales trends.
  Visualized sales trends using bar charts, pie charts, and line charts to support data-driven decision-making.
• Typing Speed Calculator:
  Developed a Python application to calculate typing speed and accuracy, providing real-time feedback to users.
  Implemented features to measure words per minute (WPM) and error rate using string manipulation and time tracking.
  Designed an intuitive user interface for seamless interaction and accurate performance evaluation.
  Demonstrated programming skills in Python, problem-solving, and basic application development.