Pranatha Rao
Boston
Summary
Accomplished Data Scientist with a proven track record at Fidelity Investments, leveraging Python and advanced machine learning techniques to enhance NLP capabilities and develop predictive models. Achieved a 3.2x improvement in savings behavior prediction, driving significant engagement through data-driven insights and effective stakeholder collaboration.
Overview
3
3
years of professional experience
Work History
Data Scientist
Fidelity Investments
Boston
05.2022 - Current
- Collaborated on the project to enhance NLP capabilities, including improvements to question classification within tables in Request for Proposal documents, robust data creation, and comprehensive test coverage, boosting reliability and maintainability across the pipeline.
- Designed and implemented a custom solution for multi-question paragraph handling, using cosine similarity with the MiniLM-L12 sentence embedding model, significantly improving the system’s semantic understanding and partitioning accuracy
- Delivered with collaboration, an automated question extraction and auto-filling answer pipeline that saved over 2,000 hours annually for the consultants, achieving a 5% auto-fill rate with 97% accuracy, driving overall efficiency.
- Developed and fine-tuned a propensity model to identify participants who are in need of emergency savings using the LightGBM model, achieving a 3.2x improvement over the baseline model and setting a new benchmark for predicting savings behavior.
- Conducted decile analysis, focusing on top segments to deliver a 2.7x lift in response rate. Implemented SHAP analysis for model explainability, empowering stakeholders with actionable, and interpretable insights.
- Validated the model via back-testing (3.2x lift) and live Goal Booster experimentation (1.9x lift), and built a scalable AWS training job for seamless production deployment.
- Positioned model scores for high-impact use in email campaigns and NetBenefits messaging, driving personalized engagement for participants.
- Developed encoding functions (one-hot, level, target) for the Data Science utility library, standardizing robust data transformations. Optimized ETL pipelines to accelerate processing and model readiness.
- Designed and executed A/B testing for PPA banner model messages vs. Random messages prove that the model outperforms with a ~3.3% CTR, which is ~75% higher than the random messages at 1.7%. Partnered closely with business stakeholders to communicate insights, deliver actionable recommendations, and refine strategies, driving continuous improvement in the enrollment rate from 2.3% to 4.5%.
- Spread headed the PPA Banner model (XGBoost) retraining and validation, ensuring metrics remained consistent through manual vs. Automated pipeline comparisons. Collaborated with the engineering team to stabilize scoring processes for monthly deployments, while continuously monitoring CTR and enrollment rate performance to optimize banner effectiveness and alignment with business goals.
- Led the end-to-end automation and optimization of PPA Tableau dashboards, including weekly refreshes via SQL procedures, monitoring KPIs (click-through rate, enrollment rate), and implementing scrabble solutions for handling large data extracts.
Education
Master of Science - Data Architecture And Management
Northeastern University
Boston, MA05-2022
Bachelor of Engineering - Information Science
Visvesvaraya Technological University
Bengaluru, India07-2019
Skills
Programming: Python (Pandas, NumPy, Scikit-learn, PyTorch), SQL
Databases: Snowflake, MySQL
Machine Learning: Regression, Decision Trees, Random Forest, XGBoost, LightGBM, PCA
NLP: Text preprocessing, sentiment analysis, sentence embedding models, Cosine Similarity
Model Development: Feature engineering, hyperparameter tuning, ensemble methods
Cloud: AWS (SageMaker, S3, EC2, Lambda)
Visualization & Statistical Analysis: Matplotlib, Seaborn, Tableau, Hypothesis testing (A/B), Causal Inference
Collaboration: Git, GitHub/GitLab, Jira, Confluence
Timeline
Data Scientist
Fidelity Investments
05.2022 - Current
Master of Science - Data Architecture And Management
Northeastern University
Bachelor of Engineering - Information Science
Visvesvaraya Technological University
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