Dwisha Mehta Email & Phone Number

Automated Model Risk Management scripts to perform data extraction from the database and enhanced the code for the future quarterly reportsLearned a new library named Qztable used by the developers at BofA, expanded Python skillset, data visualization skills, and learned LaTeX for reports documentation Optimized the script, which resulted in a significant.

Reviewed the customer and transaction data of Sprocket Central Pty LTD using Excel Pivot Tables, Filters, Functions, and the Standard Data Quality Dimensions, resulting in improved data quality and accuracy.Designed and delivered a comprehensive PowerPoint presentation outlining the approaches to boost business by analyzing customer datasets, identifying.

Tesla Stock Market Prediction – Machine Learning & NLP Project Working on building a time-series machine learning model (LSTM model) in Python to predict the Tesla Stock prices using sentiment analysis of news headlines; Analyzing trends and patterns in the stock market data to gain insights about possible future trends. Complete text analysis, which.

• Participated in all the phases of data acquisition, data cleaning, developing models, validation, and visualization to deliver data science solutions Yelp Business Reviews Prediction – NLP Project
• Performed NLP classification task and text preprocessing in Python to predict the yelp ratings for a particular business
• Explored the data using different data visualization tools and libraries, including Matplolib and Seaborn
• Performed complete data cleaning, text analysis, prediction, and model evaluation
• Text analysis using the pipeline to perform data preprocessing techniques (Vectorization, TF-IDF Transformer) Loan Approval Prediction – Deep Learning Project
• Created a prediction model to predict loan status, taking into account various attributes, whether a person will be able to pay back the loan or not