Sudatta Mondal

Composed detailed articles on various topics within the domain of AI & ML and designed the correspondent ML models to address student inquiries. There was an increased demand for services due to the quality of my work, which resulted in an overall increase in sales by around 20%. Designed an algorithm that can predict the price a customer will be willing to pay for a car based on their salary, age, net worth, and other important parameters; the model had an R2 score of above 99%. Developed an image-based vehicle detection model using YOLO that can identify and detect the presence of automobiles in static images; the model achieved an accuracy of around 90%. Engineered an ML model for detecting spam messages using NLP which achieved an accuracy of over 98%.

Designed and implemented an algorithm to perform 15 different types of analysis on a bank-provided dataset, extracting meaningful insights and formulating valuable conclusions from within it. Commended by the employer for the innovative inferences that were derived through the analysis. The concept of ‘joins’ combined the data across 6 different relational databases. Tableau was employed to explore the trends and visualize the derived inferences.