Bhawna is a Data Scientist with over 3 years of experience in Data Science and Analytics. She is proficient in Python, statistical analysis, and developing Machine Learning models. She excels at creating compelling visualizations and collaborating across teams to translate business goals into actionable data solutions.
Experience
Data Scientist and Artificial Intelligence
IBM
Developed a logistic regression-based 'Hyperglycaemic Predictor' utilizing machine learning techniques, including deep neural networks such as Convolutional Neural Networks (CNN). Created a predictive model for 'Airfare Forecast' using advanced data analysis and machine learning techniques. Developed a model using ensemble methods like Random Forest for predicting and aiding talent retention strategies. Engineered a DNN-based architecture using TensorFlow for precise image classification. Collaborated on 'SentimentPro,' advancing sentiment analysis and text classification techniques.
Data Scientist
Sage North Vast Solutions
Analyzed large datasets, conducted data cleaning, data preprocessing, performed data-driven analyses, and developed predictive models. Utilized machine learning techniques like Random Forest, Decision Tree, Linear Regression, SVM for solving complex problems. Used Naïve Bayes Classification for Text analysis and classification such as Spam Filtering and Sentimental Analysis. Dealt with highly imbalanced datasets and used Clustering techniques (K-Means, Hierarchical).
Education
Kurukshetra University
B. Tech
Computer Science
ST. Mary’s Convent School
Licenses & Certifications
Data Scientist and Artificial Intelligence Certification
IBM