NAKUL CHATURVEDI

Worked with multiple web extractor tools in Python, like BeautifulSoup, etc. and mined details of over 3,000 institutes.

Refined Excel abilities through collaborative tasks.

• Customized Salesforce dashboards for multiple clients using Apex to meet specific requirements
• Executed a project for Honda, designing and developing a customized HR recruitment form to streamline their talent acquisition process

• During my time here, I got to work with Philips-specific data and coded a Chatbot which specifically was amended to resolve over 2000 queries related to Philips devices
• I gained hands-on experience with OpenAI, vector databases, and LLM Models
• This helped me handle the data easily and clean them to get the best results
• Streamlined unstructured data to ensure consistency and usability for model training

• During this internship I worked on about 1,500+ tweets and analyzed their sentiments
• I used various ML models like Random Forest Classifier and Naïve Bayes Classifier
• I also toiled with various data visualization techniques to show more vividly the frequency of various sentiments of the general public towards a topic

Contributed to their Operation and Research Teams.

I sharpened my research skills while I explored 10+ startup ecosystems and an extensive list of unicorn startups for their Global Startup Ecosystem Report 2022. Created multiple dashboards in Excel to visualize data as well.