SENTIMENT ANALYSIS ON SOCIO-ECONOMIC CAUSES
Final Year Project - Vadodara, Gujarat - 08/2023
- Executed sentiment analysis on socio-economic news articles associated with India, employing Python for data processing and MongoDB for storage.
- Employed NLP techniques, such as TextBlob, to discern sentiments and crafted scripts for retrieving, preprocessing, and scrutinizing news articles.
- Augmented user experience by providing personalized insights into socio-economic news, fostering improved understanding and engagement.
- Project link - https://github.com/vin9381-triv/Sentiment-Analysis
IDENTIFYING NC-SC FOR AIRLINE DELAYS
College Project - Vadodara, Gujarat, 10/2022
- Scrutinized US airline data (2016-2022) employing condition theory to reveal pivotal factors impacting delays.
- Conducted meticulous data preprocessing, including cleaning and outlier identification, to enhance analysis accuracy.
- Leveraged Tableau for effective data visualization, creating lucid charts and dashboards to articulate findings with substantial insights.
- Project link - https://public.tableau.com/app/profile/vineet.trivedi/viz/shared/3SZR5G4F2
TOURIST PLACE RECOMMENDATION
College Project - Vadodara, Gujarat, 03/2022
- Employed a K-means algorithm to scrutinize user-provided place descriptions.
- Generated tailored place recommendations derived from user input using Python.
- Elevated user experience by delivering exact and pertinent recommendations through meticulous algorithmic analysis.
- Project link - https://github.com/vin9381-triv/Place-Recommender
