Pratibha Govind Gitte

Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets. Worked on BERT model for sentiment analysis. Did Entity recognition using BERT NER model and Regex. Worked on POS tagging for future and present continuous tense identification. Worked on topic modelling using BERT and Clustering methods. Worked on Computer vision techniques like CNN,R-CNN,YOLO,Faster RCNN for image forgery detection. Worked on Django Framework. Created question answer based chatbot using LSTM model. Worked on Fraud vulnerability index find using basic statistical approach. Worked on Gold forecasting. Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling. Coached and mentored junior data scientists on SAS and data mining techniques. Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques. Compiled, cleaned and manipulated data for proper handling. Modeled predictions with feature selection algorithms. Applied loss functions and variance explanation techniques to compare performance metrics. Analyzed large datasets to identify trends and patterns in customer behaviors.

Implemented code solutions to answer analytic questions and test and assess new methods. Worked with Technical expertise with data models, data mining, and segmentation techniques. Identified, analyzed and interpreted trends or patterns in complex data sets. Used statistical methods to analyze data and generate useful business reports. Tested data prediction algorithms based on historical data. Build algorithms and prototypes. Worked with Data Scientists to improve the quality and accuracy of the information, enabling businesses to make more responsible business decisions.

Analyze and organize raw data. Interpret trends and patterns. Prepare data for prescriptive and predictive modeling. Explore ways to enhance data quality and reliability.