𝗜𝗻𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝘃𝗲 𝗮𝗻𝗱 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵-𝗼𝗿𝗶𝗲𝗻𝘁𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝟮+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗶𝗻 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴. 𝗜 𝗵𝗲𝗹𝗽 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗯𝘂𝗶𝗹𝗱 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝘁𝗼 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗮𝗻𝗱 𝗹𝗼𝘄𝗲𝗿 𝗺𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 𝗰𝗼𝘀𝘁𝘀 𝘀𝗮𝘃𝗶𝗻𝗴 𝘂𝗽 𝘁𝗼 $𝟮 𝗺𝗶𝗹𝗹𝗶𝗼𝗻. 𝙋𝙧𝙤𝙜𝙧𝙖𝙢𝙢𝙞𝙣𝙜 𝙖𝙣𝙙 𝘿𝙖𝙩𝙖𝙗𝙖𝙨𝙚𝙨: Python, R, SQL - PostgreSQL, MySQL, MongoDB, InfluxDB 𝙇𝙞𝙗𝙧𝙖𝙧𝙞𝙚𝙨: NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch, Keras, Statsmodels, SpaCy, NLTK, Matplotlib, Plotly, Seaborn 𝙏𝙤𝙤𝙡𝙨: Jupyter Notebook, Hadoop, Apache Spark, AWS (S3, EC2), Docker, ETL, Flask, Git, Tableau, Excel, SQL Server 𝘾𝙪𝙧𝙧𝙚𝙣𝙩 𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝: Fine-tuning Large Language Models to reduce Bias and increase Diversity for a variety of NLP tasks. I am actively interviewing for Data Scientist, Machine Learning Engineer, Applied Scientist, Data / Business / Product Analyst, and Software Engineering (AI / ML) roles. Open to working immediately and ready to relocate, if your company is seeking a skilled Data Professional, I'm the one you're looking for! Let's connect via LinkedIn and explore how I can contribute to your organization's success!