A curiosity-driven data science student, eager to leverage machine learning and data analytics to extract meaningful insights, make informed decisions, and solve challenging business problems. I ensure to contribute with my knowledge, logical thinking, and analytical skills towards the consistent growth and development of the organization, and enhance my experience through continuous learning and teamwork. Persuasive communicator with exceptional relationship management skills with the ability to relate to people at any level of business and management; highly ethical, trustworthy, and discreet; Adroit in learning new technologies.
Evaluation Accuracy: 0.96
•Developed a classification algorithm, to predict the gold price for the next 30 Days, using the Holts winter Algorithm. The dataset consisted of 5 years of Gold Price, carrying out Preprocessing, cleansing, and validating the integrity of data to be used for analysis. Applied Different model and time series techniques to train the model.
Evaluation Accuracy: 0.98 • Grown a classification model, to know the sentiment of the review given by the travelers to the hotel and elements of their hotel influence more in forming a positive review improvings hotel brand image. The dataset contains about 20K reviews using the Logistic Regression model for the sentiment analysis and TfidfVectorizer for the elements to improve in hotels Not liked by the traveler.