🌱 Welcome to my GitHub profile! I'm an aspiring data scientist with a passion for exploring the vast field of artificial intelligence and machine learning. From uncovering hidden patterns in complex datasets to developing innovative machine learning models, I'm on a goal to make valuable contributions to the world of data science.

🚀 Besides my love for coding, I'm a lifelong learner who enjoys staying up-to-date with the latest advancements in technology. With a keen interest in geopolitics and current affairs, I strive to broaden my horizons beyond the realms of data and algorithms.

• SalesTracknAnalytics

  SalesTracknAnalytics is a Flask-based web application designed for tracking and analyzing sales data. It utilizes web scraping techniques to retrieve sales data from a government website and provides various features for data analysis and reporting. The application allows users to fetch data for a specific month and year, process it into a structured format, and generate insights such as daily sales, total sales, sale count, and more. It also calculates the remaining cards based on the sales data and tracks their status by making requests to a government website. SalesTracknAnalytics presents the analyzed data and card status information through interactive visualizations, making it easier for users to interpret and analyze the data. The project is open-source and welcomes contributions from the community. It is licensed under the MIT License, and its development was inspired by the need for efficient sales data tracking and analysis.

• Mera Saarthi

  Saarthi - Voice Assistant Application Saarthi is a Flask application that acts as a voice assistant and chatbot. Users can call a designated IVR (Interactive Voice Response) number and interact with Saarthi by speaking. The application converts the user's speech to text using transcription, processes the text input using OpenAI's ChatGPT API, generates a response, and converts the response back to speech using Twilio. The conversation continues until the user hangs up the call.

• Data Driven Insights

  DATA DRIVEN INSIGHTS: A WEBSCRAPING AND ANALYSIS PROJECT BY AUTOMATION : Developed and implemented a web scraping project using Python and various libraries such as Pandas, Selenium, Beautiful Soup to gather and process large amounts of data from a government website. Utilized pandas library to convert the data into a structured format and performed time resampling to generate daily sales totals. Also, implemented data analysis techniques to identify customers who are yet to visit the store. Implemented various data visualization techniques to present the data in an easy to understand format. The project provides valuable insights that helps my dad's business make data-driven decisions by identifying potential customers.