Tejo Vinay Potti

Background

About Tejo Vinay Potti

Data Science professional passionate about uncovering trends and patterns buried in vast piles of data, and extracting valuable insights to draw conclusions. Possess a great understanding of Generative AI, Large Language Models, Machine Learning, Big Data and Large-Scale Computing, Unstructured Data Analytics, Database Management, and Decision Making Under Uncertainty. Proficient in Python (Hackerrank Gold Badge), Scikit-learn, Keras, TensorFlow, Pandas, NumPy, and Java. Adept in SQL, Machine Learning, and LLMs. Skilled in PowerBI, Tableau, and BigQuery. Snippets from previous work experience: Implemented an LLM-based information classification engine to determine content sensitivity for Confluence documents, through multi-agent approaches utilizing LLMs such as Llama and Mixtral. Built an HR support chatbot using RAGs to address employee queries, resulting in improved response time and accuracy Employed a range of supervised learning algorithms (Linear Regression, Logistic Regression, Decision Trees, SVM, kNN, Random Forest, XGBoost) to tackle data classification challenges and enhance predictive modeling accuracy. Engineered Decision Tree and Random Forest models that propelled revenue growth by optimizing marketing strategies through advanced analytics. Worked on LSTM-based Recurrent Neural Network model, and built dashboards on PowerBI. Developed an AI/ML & Computer Vision solution to enhance fatigue detection Retinal Disease Detection Using Extreme Learning Machine. Patent Published at Indian Patent Office. My goal is to leverage the power of Data Science to drive strategic decision-making and unlock new opportunities that help grow and sustain businesses. I aspire to be a part of an organization that values innovation, collaboration, and social impact, where I can contribute to and learn from a diverse and talented team of data science professionals.