• Model Fine-Tuning: • Conducted fine-tuning of open-source models and advanced models like Llama 3 and Phi 3, enhancing performance, accuracy, and robustness. • Prompt Engineering: • Designed and optimized prompts tailored to specific tasks, improving the relevance and quality of model outputs. • Model Exporting: • Exported models from Hugging Face, ensuring seamless production integration and optimizing performance for real-world environments. • Leveraging LangChain… Show more • Model Fine-Tuning: • Conducted fine-tuning of open-source models and advanced models like Llama 3 and Phi 3, enhancing performance, accuracy, and robustness. • Prompt Engineering: • Designed and optimized prompts tailored to specific tasks, improving the relevance and quality of model outputs. • Model Exporting: • Exported models from Hugging Face, ensuring seamless production integration and optimizing performance for real-world environments. • Leveraging LangChain and Ollama: • Utilized LangChain and Ollama tools for efficient model management, deployment, and operation, streamlining workflows for better operational efficiency. • Development of Retrieval-Augmented Generation (RAG) Systems: • Created RAG systems to combine information retrieval with text generation, enhancing content relevance and accuracy for applications like customer support and data analysis. • Developed a Chatbot using OpenAI Model: • Designed and developed an interactive chatbot using OpenAI’s language model, integrating it into various platforms to provide automated customer support and improve user engagement. • Collaboration and Mentorship: • Worked closely with cross-functional teams to deliver tailored solutions fostering a collaborative environment. • Research and Innovation: • Stayed updated on AI and ML advancements, incorporating cutting-edge techniques into projects and contributing to research and development efforts. Show less

• Key Responsibilities: 1. Machine Learning Model Development: • Developed and implemented various machine learning models including Linear Regression, Logistic Regression, Decision Trees, and Random Forests. • Conducted hyperparameter tuning and model evaluation to improve accuracy and performance. 2. Exploratory Data Analysis (EDA): • Performed comprehensive EDA to understand data patterns, identify anomalies, and detect relationships between variables. • Utilized… Show more • Key Responsibilities: 1. Machine Learning Model Development: • Developed and implemented various machine learning models including Linear Regression, Logistic Regression, Decision Trees, and Random Forests. • Conducted hyperparameter tuning and model evaluation to improve accuracy and performance. 2. Exploratory Data Analysis (EDA): • Performed comprehensive EDA to understand data patterns, identify anomalies, and detect relationships between variables. • Utilized statistical methods and data visualization techniques to summarize data insights. 3. Data Visualization: • Created visualizations using Matplotlib to represent data trends and patterns effectively. • Developed interactive dashboards in Tableau to present findings to stakeholders and facilitate data-driven decision making. 4. Data Preprocessing: • Cleaned and prepared data for analysis by handling missing values, outliers, and data normalization. • Ensured data quality and consistency throughout the analysis process. 5. Collaboration and Reporting: • Collaborated with cross-functional teams to understand business requirements and translate them into analytical solutions. • Presented analytical findings and model results to stakeholders through reports and presentations. • Technologies Used: • Python (pandas, numpy, scikit-learn) • Matplotlib • Tableau • SQL for database querying • Jupyter Notebooks for development and presentation Show less