Dipti Galane Email & Phone Number

India

Machine Learning BU Project:• Led a global team of 4 in the development of machine learning solutions.• Developed an NLP solution (using TFIDF, text vectorization, RNN, LSTM, CRF, Transformers, BERT), reducing costs by 35% by categorizing news articles into different topics.• Developed NLP solutions for sentiment analysis, text classification, NER (Named Entity Recognition), and topic modeling.• Implemented CV models for image classification, achieving cost savings of up to 32% using baseline CNN model, transfer learning, VGGNet, Mobilnet V2, Resnet models, and callbacks.• Optimized application performance by 50% through Logistic Regression, Decision Trees, Random Forest, LightGBM, SVM, and XGBoost models.• Designed an ML solution for determining admission chances to IVY league colleges, increasing system efficiency by 30% while using Linear Regression and KNN algorithms.• Improved efficiency by 20% in data preprocessing phase using unsupervised ML models, implemented advanced anomaly detection techniques such as isolation forest and leveraged algorithms like PCA, TSNE, UMAP, KMeans, and LOF analysis to analyze data, identify patterns, outliers, and trends, and provide actionable insights for more accurate forecasting, strategic decision-making, and optimization of strategies.• Prepared data visualizations and reports in Tableau and conducted hypothesis testing and feature engineering.Regeneron ODR Project:• Optimized performance by 50% through automation of first level, second level metrics for month-over-month reporting.• Improved user experience by 20% with the design of an Oversight Scorecard for clinical KPI metrics.• Created dashboards with multi-level aggregation at various levels.• Led a team of 4 members and guided them on technical and analytical aspects.• Utilized JIRA and GitHub for project tracking and documentation.• Applied Agile Methodologies Scrum and Kanban for project development.

Pune, Maharashtra, India

Sanofi Life Sciences Project:• Optimized performance by 30% with Informatica Cloud and on-premise solutions. Automated file transfer tasks on AWS S3.• Led a team of 5 members and assigned tasks. Achieved 20% more efficiency by tracking tasks in JIRA.• Architected and deployed a data warehouse solution, consolidating disparate data sources for enhanced accessibility and reliability in decision-making.

Investment Banking Project:• Performed efficient estimation for change requests and design changes.• Delivered 25% more efficient ETL solutions based on logical and conceptual data models.• Saved 20% time while making unit test cases and plans.

NUL Insurance Project:• Interacted with the client regularly for project specifications.• Developed mappings, sessions, and workflows and improved performance by 50% in Informatica PowerCenter, saved 20% time in code reviews and unit test cases.• Implemented and maintained a scalable data warehouse architecture, optimizing performance and integrity while enforcing data governance standards to promote organization-wide data-driven decision-making.