Sakshi Gupte Email & Phone Number

Dartmouth, Ma, Us

Dartmouth, Ma, Us

• Facilitated Agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives, to ensure consistent project delivery and foster a culture of continuous improvement in software development.• Designed and implemented a predictive analytics tool that segmented customers based on risk categories, leading to a 15% reduction in claims and enabling the creation of more effective, data-driven marketing strategies.• Optimized marketing strategies by tailoring campaigns to customer risk profiles, reducing expenditures by 20% and increasing conversion rates by 25%, ultimately enhancing customer engagement and ROI.• Developed and deployed a web-based application utilizing Docker for containerization, AWS ECR for image storage, and EC2 for hosting. Streamlined deployment using CI/CD pipelines and managed source control with Git, while tracking experiments via MLflow to deliver insights for marketing and risk management teams.• Integrated advanced Retrieval-Augmented Generation (RAG) systems using LLMs, Langchain, and Vector Databases, allowing stakeholders to access simplified, yet detailed, reports for improved decision-making across departments.• Applied statistical validation techniques and SHAP analyses to insurance risk assessments, reducing prediction errors by 4% and increasing the accuracy and relevance of insights for underwriting decisions.• Conducted A/B testing to evaluate marketing and risk management strategies, optimizing campaigns and maximizing return on investment by utilizing granular customer risk profiles.• Created interactive data visualizations using Tableau and Matplotlib, enabling stakeholders to easily interpret complex datasets. Collaborated closely with database administrators to fine-tune MySQL performance, improving query efficiency and speeding up data processing.

Mumbai, Maharashtra, India

• Performed comprehensive testing and validation of data science models in accordance with Waterfall methodology, ensuring the models met stringent accuracy and reliability standards prior to deployment.• Conducted A/B testing to assess the performance of marketing campaigns and product features, leading to actionable insights that improved overall campaign effectiveness and customer engagement.• Optimized large-scale data processing workflows using Apache Spark, reducing processing times by 40% and enhancing the overall throughput and scalability of data handling operations.• Utilized machine learning techniques such as Naïve Bayes, Logistic Regression, Random Forest, and XGBoost to predict loan default probabilities, resulting in improved risk management strategies with increased predictive accuracy.• Enhanced model accuracy by 20% through the application of deep learning frameworks, including TensorFlow and PyTorch, effectively improving the performance of predictive models used for credit risk analysis.• Automated complex data pipelines using Azure Data Factory and Azure Databricks, significantly increasing the efficiency of data engineering processes and minimizing manual intervention and potential errors.• Developed real-time reporting solutions by integrating Power BI with various data sources, including Excel, to deliver timely, accurate insights that empowered business leaders to make data-driven decisions.• Implemented robust backup, recovery, and disaster recovery solutions for SQL Server databases, ensuring data integrity, availability, and minimal downtime in case of failures or emergencies.

Master Of Science - Ms, Data Science, 3.6

Hsc, Science

Activities and Societies: Dance Group

Ssc