Hrushikesh G

Data Scientist @Best Buy

Richfield, MN, US

Participated in Gen AI project for NLP (Kore AI, LLM, Huggingface GPT4, Prompt Engineering, PEFT, LoRA, QLoRA, Agents) focusing on creating internal chat bot and using RAG.• Developed a Recommendation Engine to recommend the other reports based on the history of their reports read.• Trained on Hugging Face Models for Natural Language processing tasks and improved sentiment analysis. • Participated in Gen AI project for NLP (Kore AI, LLM, Huggingface GPT4, Prompt Engineering, PEFT, LoRA, QLoRA• Analyzing and creating Monte - Carlo type simulations and probabilistic approaches that resulted from the concerning ML - NLP problems by establishing them from theory to application using MATLAB, R, Python, and other programming languages.• Used Hue editor an open-source SQL assistant for querying Databases and Data Warehouses and collaborating. Its goal is to make self-service data querying more widespread in organization.• Participated in feature engineering such as feature intersection generating, feature normalize and label encoding with Scikit-learn preprocessing. • Applied Clustering algorithms i.e, K-means using Scikit and SciPy • Delivered recommendation project that disrupts the business by acquiring customers at new segments of trading. • Analyzed data and explored existing operational process to develop and recommend actionable solutions.• Performed categorical variable analysis using python Label Encoder, OneHotEncoder methods through sci-kit learn library.• Developed a recommendation system that employs content-based and collaborative filtering techniques such as memory-based and model-based collaborative filtering techniques such as NMF (Non-negative matrix factorization), SVD (Singular Value Decomposition), Siamese ANN deep learning, and LightFM