B.Tech in CSE AIML with experience in data analysis and machine learning.

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Punit Dwivedi  • Peerlist

Smart City Traffic Management Using Computer Vision

The Global Covid-19 Data Analysis project explores the trends and patterns in Covid-19 cases worldwide. Using datasets sourced from reliable platforms like Kaggle, the project involves cleaning and preprocessing data using Python's Pandas library. Visualizations such as time-series graphs, heatmaps, and bar charts are created using Matplotlib and Seaborn to understand the spread and impact of the pandemic across different countries. This project demonstrates proficiency in data cleaning, analysis, and visualization, showcasing the ability to derive actionable insights from real-world data.

Global Covid-19 Data Analysis

The Gold Price Analysis and Forecasting project investigates historical trends in gold prices and builds predictive models for future price forecasting. Using Python, the project analyzes time-series data sourced from reliable financial platforms. Libraries such as Pandas and Matplotlib are used for data cleaning and visualizing price trends, while Statsmodels and scikit-learn assist in implementing ARIMA and regression models for forecasting. The project demonstrates proficiency in time-series analysis, statistical modeling, and data visualization, showcasing critical skills applicable in finance and economics.