I am a highly motivated and detail-oriented data science enthusiast with a Master's degree in Computer Applications from the University of Mysore. My experience spans over 15+ academic and professional projects, where I’ve demonstrated expertise in statistical analysis, machine learning, and building impactful data-driven solutions.
During my internship at Analyttica Datalab, I honed my skills in SQL, Python, Tableau, and machine learning algorithms such as Linear and Logistic Regression, Decision Trees, Random Forests, and Neural Networks. I successfully developed a recommendation model to categorize tickets with 40% increased efficiency and enhanced accuracy by 25%, directly impacting operational outcomes.
My hands-on experience includes building automated systems, conducting exploratory data analysis (EDA) on large datasets, and leveraging tools like NLTK for text preprocessing. I am passionate about staying updated on the latest advancements in data science and aspire to apply my skills to solve complex problems and drive meaningful insights.
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Fine-tuning LLM model using Quantization, LoRA, QLoRA.
Before
delving into the complexity of fine-tuning with Google’s Gemma Model, let’s first
familiarize
ourselves with the concepts...
In this blog, I delve into the world of advanced AI and how to integrate multiple technologies to build powerful, PDF-driven applications...
Read More..Outliers in data science refer to data points that deviate significantly from the majority of the observations in a dataset...
Read More..I bring a passion for data analysis, machine learning, and predictive modeling.