PRIYANKA PHADNIS
Menlo Park,California
Summary
Knowledgeable Data Scientist with strong foundation in data analysis, machine learning, and statistical modeling. Successfully developed graph algorithms and data-driven solutions to optimize business performance. Demonstrated proficiency in Python and SQL, leveraging data visualization tools to communicate insights effectively.
Overview
6
6
years of professional experience
Work History
Data Scientist
Siclarity
01.2024 - Current
- Designed and implemented a custom BFS traversal algorithm and per-layer adjacency logic to create graph-based representations of physical layouts, forming the foundation for downstream feature extraction and GNN model training
- Developed ML pipelines for GNNs to predict parasitic resistance in CFET and GAA layouts, leveraging physical layout graphs for training; also implemented unit tests to validate layout integrity
- Reduced graph generation time by over 90% through algorithmic optimization and efficient data structure refactoring, enabling large-scale model inference across layout permutations
- Created a regex-driven edge-labeling mechanism to align pipeline-generated graph edges with GTS-extracted resistance values, ensuring high-fidelity training data
- Analyzed GTS-annotated netlists to uncover capacitance trends and layout dependencies; created visualizations using pandas and matplotlib to support design optimization and future model development
Data Engineer
Aetna
08.2022 - 08.2023
- Designed and implemented an ETL pipeline using PySpark and Apache Airflow to migrate data from Cloud SQL (MySQL) to Cloud Spanner, enabling scalable and reliable data processing in production
- Built a data ingestion job to transfer BigQuery tables to Google Cloud Storage, improving storage efficiency and supporting legacy workflows
- Contributed to the successful rollout of Spanner-backed workflows by ensuring smooth data validation and transition for critical production tables
Software Engineer
Optum
07.2021 - 08.2022
- Developed and deployed RESTful APIs using Spring Boot for patient management and analytics; deployed on AWS Kubernetes
- Migrated messaging infrastructure from RabbitMQ to Apache Kafka to enhance scalability and performance
- Built PDF merging functionality to consolidate patient records, improving physician efficiency
- Collaborated with UI/UX teams for frontend-backend integration using React.js
Education
DATA SCIENCE
WORCESTER POLYTECHNIC INSTITUTE
Worcester, MA05-2021
Bachelor of Technology - Electrical, Electronics And Communications Engineering
VJTI
05-2017
Skills
- Programming languages: Java, Python, SQL, Typescript, MySQL, CSS
- Frameworks: Spring Boot, MVC, Hibernate, ReactJS, Hadoop, Spark, Apache Kafka, PyTorch, Tensorflow
- Data Visualization: Seaborn, Matplotlib
- Data Manipulation: Pandas, Numpy, Scikit-learn, Spacy, OpenCV,PySpark
- Modelling: Scikit-learn, Keras
- Cloud: Google Cloud Platform, Cloud composer, Airflow, Google Dataproc
- Databases: Cloud SQL,PostgreSQL
- Data Warehouse: Google Big Query
- Graph Algortihms:BFS
- Unit testing
- Statistical Analysis:A/B testing
Timeline
Data Scientist
Siclarity
01.2024 - Current
Data Engineer
Aetna
08.2022 - 08.2023
Software Engineer
Optum
07.2021 - 08.2022
DATA SCIENCE
WORCESTER POLYTECHNIC INSTITUTE
Bachelor of Technology - Electrical, Electronics And Communications Engineering
VJTI
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