Akshay Nevrekar

Project: Merchant Classification - Analysed and Cleaned the data; Developed the solution to predict the merchant category. Tools: Python, DSW, Michelangelo, NLP, Boxsdk. Project: Invoice Processing - Explored and Analysed various ways to tackle the problem; Extract text from the invoices and find the entities from the invoices. Tools: Python, Huggingfaces, Transformers, Chatgpt.

Project: Fraud Detection - Analysed and Cleaned the data; Developed step fraud detection model and created service using Flask; Automated user deactivation process. Tools: Python, Flask, Scikit-learn, Metabase, PostgreSQL, Docker, Kubernetes, GCP. Project: Review Analysis - Cleaned the reviews using NLP; Developed sentiment analysis model and review classification models; Classify the reviews into different categories. Tools: Python, Scikit-learn, PostgreSQL, Docker, Kubernetes, GCP.

Project: Chatbot - Collected and cleaned the data; Developed a chatbot using RASA and created service using Flask. Tools: Python, RASA, NLP, MySQL. Project: Face Recognition - Developed Face Recognition model using deep metrics learning; Built a pipeline for Face Recognition. Tools: Python, Computer Vision, Deep Learning, Dlib. Project: Bird Recognition - Developed the pipeline for bird recognition using KERAS and OPENCV. Tools: Python, Computer Vision, Deep Learning, Keras, Tensorflow.

Project: Face Recognition - Developed Face Recognition model using deep metrics learning; Built a pipeline for Face Recognition. Tools: Python, Computer Vision, Deep Learning, Dlib. Project: Resume Retrieval System - Extracted the employee details from the Resume using NER and Regex; Extracted the Resumes based on Job Description using Word Embedding and Cosine Similarity. Tools: Python, NLP, MongoDB, Machine Learning. RegEx.

Worked on Multiple projects as Software Tester.