Irene Chatterjee

• Developed AI-powered chatbot using NLP and cloud infrastructure for personalized interactions. • Implemented multimodal knowledge base with images, text, and videos for personilization. • Optimized Large Language Models for real-time applications,

I work as a full-stack AI developer, handling everything from capturing client problem statements to data engineering and creating AI-based solutions for legal and financial technology. • Explainable AI for Fraud Detection in Financial Transactions: Developed an explainable AI model to detect fraud in transactions, protecting disabled and elderly individuals from misuse of power of attorney. Improved fraud detection accuracy by 85%, ensuring transparency in AI decisions. • AI for Detecting Greenwashing in Financial Organizations: Developed AI models to identify greenwashing practices in financial statements and reports. Enhanced detection accuracy by 90%, promoting transparency in sustainability claims. • AI Solutions for Personalized Product Recommendations: Developed AI solutions to help retail customers choose products based on financial ability and needs. Increased recommendation accuracy by 95%, enhancing customer satisfaction and sales.

Recipient of the fully funded "DeepMind Scholarship"

Data Analysis:Data Pre-processing using Pandas, Data Visualization using Matplotlib Applied Math: Linear Algebra ; Optimization ;Probability Theory Machine Learning: Supervised & Unsupervised Learning, Classification & Regression Models ,Bayesian Decision Theory ,Bayesian Parameter Estimation ,Non-Parametric Techniques ,Perceptron, Multilayer Perceptron, LMS, Feedforward Operation, Backpropagation Algorithm, Activation Function, Regularization ,SVM, Decision Trees, Radial Basis Function Networks Deep Learning: Regulation and Optimization ,DNN, CNN, RNN, LSTM, Autoencoder ,Methodology and Applications Applications of Machine Learning : Computer Vision ;Speech Recognition ;Wireless Communications ML/DL tools : Python, matplotlib, pandas, Keras, NumPy, OpenCV, TensorFlow, Scikit-Learn, SciPy

class 10 boards exam : overall distinction 100/100 in Mathematics