nhyadav,Narayan Hari Yadav,github

👋 Hi there! I'm Narayan Hari Yadav, a passionate data scientist with over 2 years of experience leveraging Python to extract insights and drive informed decisions from data. 🚀 I specialize in transforming complex datasets into actionable strategies and solutions that drive business growth.

🔬 In my journey as a data scientist, I've honed my skills in:

Data Analysis: Proficient in analyzing large datasets using Python libraries such as Pandas, NumPy, and SciPy to uncover trends, patterns, and correlations.
Machine Learning: Experienced in building and deploying machine learning models for predictive analytics, classification, regression, and clustering tasks using scikit-learn and TensorFlow.
Data Visualization: Skilled in creating informative and visually appealing data visualizations using Matplotlib, Seaborn, and Plotly to communicate insights effectively.
Statistical Analysis: Knowledgeable in statistical techniques such as hypothesis testing, A/B testing, and regression analysis to derive meaningful conclusions from data.
Deep Learning: Familiar with deep learning frameworks like TensorFlow and Keras for building neural networks and solving complex problems in computer vision and natural language processing.
SQL: Proficient in SQL for data extraction, manipulation, and querying from relational databases.
Version Control: Experienced in using Git for version control and collaboration on projects, ensuring code integrity and reproducibility.
Data Preprocessing: Skilled in data cleaning, preprocessing, and feature engineering techniques to prepare datasets for analysis and modeling.

📫 Let's connect! Feel free to reach out to me here on GitHub or connect with me on LinkedIn [https://www.linkedin.com/in/narayan-hari-yadav-b0a966200/] to discuss potential collaborations, projects, or just to geek out about data science and Python!