I am an aspiring Data Scientist with a strong background in catalog designing and quality assurance, along with a pharmacy education. My goal is to utilize my skills in data harvesting, data visualization, and predictive modeling to solve business problems using data-driven insights. I am passionate about leveraging my expertise to contribute to the success of organizations in the field of data science.

• GitHub - https://github.com/omkarm0542
• LinkedIn - https://www.linkedin.com/in/omkar-maurya/
• Website - https://omkarmaurya.website3.me/
• Kaggle - https://www.kaggle.com/omkarm0542
• YouTube - https://www.youtube.com/channel/UCHJz22G_3koWYX_7fwxaF0Q

• IIT-M Advanced Programming Professionals & Master Data Science - GUVI, June 2023
• Dr. B. R. Ambedkar University — B. Pharmacy, Jul 2018 - Aug 2022

Here are some of my notable projects:

• Developed a Twitter scraping project using Snscrape to extract 1000 of Elon Musk's tweets.
• Created a pandas DataFrame to store the scraped data and implemented a user-friendly web app using Streamlit.
• Integrated features such as title and text inputs, date input, slider, and select box into the Streamlit web app for efficient data management.
• Uploaded all the scraped data seamlessly to a MongoDB database, enhancing data analysis capabilities and facilitating data storage and retrieval.

• Developed the "Phonepe Pulse Data Visualization and Exploration" tool using Streamlit and Plotly.
• Created a user-friendly interface for seamless data exploration and analysis.
• Leveraged Plotly to generate live geo visualizations.
• Contributed as the lead developer in the project.
• Enhanced data analysis efficiency, decision-making processes, and user experience through streamlined methods and utilization of Streamlit and Plotly technologies.

• Developed a YouTube data harvesting and warehousing project using SQL, MongoDB, and Streamlit.
• Implemented Python, Pandas, and GitHub Cloning for data extraction from YouTube.
• Stored the harvested data in SQL and MongoDB databases, ensuring efficient storage and retrieval.
• Created a user-friendly Streamlit web app with interactive data visualizations using Plotly, enabling seamless exploration and analysis of the YouTube data.