Nageshwar Yadav

Nageshwar Prasad Yadav Website | GitHub | LinkedIn | Work Experience • Insignia Consultancy Solution, Dallas, TX, USA May 2024 - Aug 2024 Data Science Intern – Improved accuracy of machine learning models by 20% through collaboration with the modeling team on data annotation tasks. – Created impactful data visualizations using Power BI, leading to a 15% increase in decision-making efficiency. – Submitting code for reviews to ensure high-quality code and adherence to best practices. • Oasis Infobyte, New Delhi, India Apr 2024 - May 2024 Frontend Developer – Utilized HTML, CSS, and JavaScript to translate design concepts into code, ensuring cross-browser compatibility and responsiveness. – Collaborated closely with designers and backend developers to ensure the seamless integration of frontend and backend components, improving overall application performance. – Developed and maintained frontend features, optimized for speed and scalability, resulting in a 15% improvement in user engagement. • iNeuron Intelligence Pvt Ltd, Bengaluru, India Apr 2024 - May 2024 Data Analyst Intern – Conducted data querying and manipulation using SQL to prepare datasets for strategic business decisions. – Developed and deployed interactive dashboards using Power BI, visualizing key business metrics – Integrated new data sources to enhance analytical capabilities and provide competitive advantages Projects • Simulated Driver Behaviour Analysis Python, Machine Learning Models – Developed a Machine Learning model to assess and rate driver behavior using real-time sensor data. – Integrated results with a smart contract and recorded on an immutable ledger on the blockchain. • Bank Loan Analytics Python, Data Analysis – Performed EDA, including data cleaning, preprocessing, and visualization. – Developed an interactive loan dashboard using Power BI to integrate diverse data sources. – Analyzed sales data to derive KPIs like total revenue and average ovalue • Machine-Learning-Web-App Python, Streamlit, scikit-learn, GitHub – Developed a web application for exploring and predicting software engineer salaries using the Stack Overflow Developer Survey 2020 dataset. – Implemented dynamic visualizations and user input forms using Streamlit to provide real-time salary predictions based on country, education level, and years of experience. – Utilized a robust tech stack with Streamlit for the frontend, employing scikit-learn for model training and prediction. Skills • • • • Coding Languages: Python, SQL, Javascript HTML, CSS,C/C++ Data Visualization Tools: Microsoft Power BI,Excel Tools/Platforms: MongoDB, MySQL, Git, GitHub, Postman,Visual Studio Additional Skills: Data Wrangling, Data Cleaning, Business Analysis, Business Intelligence, Machine Learning Education • SRM University, Andhra Pradesh 2021 - 2025 B.Tech in Computer Science and Engineering with Specialization in Machine lelearning DAV RB Kedia School, Nepal • 12th Grade, Science Stream ST. Xavier’s Secondary School, Nepal • 10th Grade 2019 -%-%