Jyoti Bhandari

Experienced Data Scientist with a proven track record of handling substantial datasets, distilling complex business challenges, and applying insights through distribution, predictive, and hypothetical modeling. Skilled in translating enterprise objectives into machine learning tasks to enhance overall operational efficiency. With over 3+ years of relevant experience, I have successfully contributed to strengthening company operations through my expertise in statistical modeling and data interpretation.

Executive board member of the Data Science & AI Club and Nepalese Student Association at the University of New Haven

• Walmart Sales Analysis: Built a linear regression model that predicted Walmart’s future sales with 94% accuracy, leading to better inventory management and increased profits for the company.
• Content Moderator: Developed an AI project using NLP to detect risk and fraud in e-commerce and moderate abusive text, webpages, and audio and fraud detection to create a safer internet experience.
• Data Science Job Hunt: Built an interactive dashboard using Dash by plotly to analyze Data Science job opportunities in the US, and made a predictive model using Random Forest Regression to predict salaries and classification model for employee retention.
• Chatbot Recommending Products: Developed a Discord chatbot using CNN, K-means clustering, KNN algorithm, and VGG16 model to recommend products from the Flipkart database based on visual similarity.
• Semantic Image Segmentation: A computer vision/Deep Neural Network model that does semantic segmentation of trees, roads, and buildings of any input images. (Deep Learning Project)
• NutriBot: This Natural Language Processing (NLP) project is a Discord bot, finetuned on Large Language Model BERT, for personalized recipe recommendations and nutritional analysis as per user’s input.