I'm a passionate AI ML Engineer. I turn complex data into actionable insights and innovative solutions.Over the course of my career of 10 yrs, I have cultivated a wealth of expertise and diligently honed my skills in ML, making me a driven and dedicated professional.Here are some key points that highlight my professional journey:Experience in Image Data Processing: I have successfully worked with image data, employing OCR techniques to extract meaningful information. This involved processing images and utilizing Optical Character Recognition algorithms to extract text and derive insights from visual data.Fine-tuning LLM Models with OpenAI API: I have explored the capabilities of the OpenAI API and utilized it for fine-tuning Language Model Models (LLMs). Building Predictive Models for Banking & Insurance Clients: I have provided business solutions to stakeholders by developing predictive models for banking & insurance-based clients. By leveraging data analysis techniques and implementing machine learning algorithms, I have been able to deliver accurate predictions and valuable insights to support decision-making processes.Deployment of Flask-based APIs: As part of my project work, I have been involved in deploying Flask-based APIs for specific use cases. End-to-End Project Experience: I have extensive experience in handling projects from start to finish, encompassing all stages, starting from data gathering and preprocessing to model development.Continual Learning and Adaptation: I am committed to staying updated with the latest advancements in the field of Data Science and Machine Learning by doing online courses to enhance my skills.Overall, my journey as a Data Science and Machine Learning professional has equipped me with diverse skills & I am passionate about leveraging data to drive meaningful insights and contribute to the success of organizations.OpenAI/ChatGPT:1 QA Bot using Fine tune models 2 Custom GPT using Lliama_index #ML Project Competencies:Data Cleaning, Data Exploration, Data Analysis, Data Validation, Feature Extraction Feature Engineering, Feature Selection, Hypothesis Testing, Model Building - Regression, Classification, Model Evaluation, Visualization & Reporting.#NLP- based: Tokenization, Stemming, Lemmatization, Bag of Words. #Known Libraries: NumPy, Pandas, Matplotlib, Sklearn. Spacy#Skills: • Languages Known: Python, C.• Databases: MySQL• IDE’s & Tools: Spyder, Jupyter Notebook/Anaconda• API Development: Flask / Postman• VCS: Git/GitHub#Check This.---->Medium: https://medium.com/@vpatil12