Lahari N

Sentiment Analysis of Twitter Data

• Developed a Python script to collect and analyze tweets using the Twitter API
• Implemented sentiment analysis techniques to classify tweets as positive, negative, or neutral.
• Visualized sentiment trends using Matplotlib and presented findings in a report.

Handwritten Digit Recognition

• Built a convolutional neural network (CNN) model using TensorFlow to recognize handwritten digits.
• Trained the model on the MNIST dataset and achieved an accuracy of 95%
• Deployed the model as a web application using Flask for real-time digit recognition.

Data Analysis

• Conducted thorough exploratory data analysis to identify essential variables for building robust models.
• Participated actively in interdisciplinary teams'' work integrating domain knowledge from marketing, sales or finance departments into the analytical process.
• Collaborated cross-functionally with stakeholders, ensuring alignment on key initiatives and project goals.
• Conducted feature engineering efforts to enhance model performance by creating new relevant variables from raw input data sources.