Ananya Das

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

Project on Disease Prediction using Machine Learning approach, 03/2023, 04/2023

A strong machine learning model was created to predict diseases by analyzing medical data using advanced algorithms. Python, R, scikit-learn, TensorFlow, and Keras were the tools and technologies used. Pandas and NumPy were used for data preprocessing tasks such as cleaning, transforming and manipulating the data. Ensemble learning methods like Random Forests, Gradient Boosting and AdaBoost were employed., 2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) 

Customer Segmentation using K-Means Clustering, 11/2023, 12/2023

Using Python and scikit-learn, analyzed and preprocessed large-scale customer data, leading to better marketing campaigns and personalized product recommendations. Conducted thorough analysis of customer attributes, resulting in a 15% sales boost through targeted marketing strategies. Worked with various teams to develop data-driven insights and presented findings to senior management for strategic decision-making.

Project on Foodifybot Using dialogflow NLP , 05/2024,  06/2024

Using Dialogflow NLP, we created a sophisticated chatbot for ordering food in order to enhance user experience and expedite customer interactions.
We have created algorithms that effectively distinguish between words and numerical values, improving the accuracy of bot responses.
Technologies used include MySQL, FastAPI, JSONResponse, Dialogflow NLP, and re library. Using webhooks, I connected Dialogflow to a food ordering platform to expedite order fulfilment and shorten processing times.

• Web Devlopment (Udemy), 05/2022, 06/2022
• A Complete Python Bootcamp, 03/2023, 04/2023
• KPMG AU- Data Analytics Virtual Internship, 07/2023, 09/2023

• Music
• Food
• Fashion