Client Delivery & Implementation
Aug 2025 - Present | Massachusetts, USA
- Lead technical implementation and client delivery, helping institutional clients navigate complex
software deployments and translating business goals into technical reality.
- Architect scalable data platforms and manage the full client lifecycle, from technical development to
troubleshooting and optimization.
- Build robust ETL pipelines and multi-tier architectures using Python, Java, and C# to ensure seamless
interpretation and data flow.
- Partner with business stakeholders to design production-grade solutions that drive real business value
in the Fintech space.
Leadership, Client Implementation, and Product Delivery
June 2021 - July 2025 | Woburn, MA
- Technical Implementation Lead: Led the client onboarding lifecycle for a predictive
analytics platform, serving as the primary bridge between external stakeholders and internal engineering
teams.
- Product Engineering: Collaborated with software engineers to design and deploy
production-grade data pipelines using Python and Bash, ensuring reproducibility and scalability for
complex datasets.
- Data Strategy: Transformed unstructured experimental data into structured SQL/NoSQL
formats to support the development of interactive dashboards and predictive models.
- Stakeholder Management: Translated complex technical requirements into actionable
project roadmaps, significantly reducing troubleshooting time during client deployments.
Data Scientist Co-Op @ GSK
Data Analysis, Scripting, and Modeling
June 2020 - December 2020 | Rockville, Maryland
- Data Science & Analytics: Developed automated analysis scripts in R and Python to
process high-dimensional datasets, replacing manual workflows and increasing data throughput.
- Statistical Modeling: Built and validated statistical models to simulate complex
system behaviors, directly supporting critical decision-making for research operations.
- Pipeline Development: Optimized data ingestion workflows and maintained
version-controlled codebases (Git) to ensure data integrity across cross-functional teams.
- Visualization: Created technical visualizations and reports that simplified complex
data trends for non-technical audiences and executive leadership.
Graduate Research Assistant @ Zhang Lab
Jan 2021 - May 2021 | Atlanta, GA
- Algorithm Benchmarking: Evaluated multiple computational tools for velocity analysis
and network inference, identifying trade-offs in computational speed, sensitivity, and accuracy.
- Pipeline Engineering: Built an end-to-end data processing pipeline integrating
quality control, normalization, and advanced analytics, reducing processing time while enhancing data
consistency.
- Data Quality Control: Established best-practice guidelines for robust inference from
noisy datasets, driving methodological improvements and more interpretable results.
Graduate Research Assistant @ Storici Lab
August 2019 - May 2020 | Atlanta, GA
- ETL Pipeline Design: Developed and optimized an ETL pipeline to transform raw
sequencing data into structured formats, enabling comprehensive downstream analysis.
- Machine Learning & Predictive Modeling: Built a predictive model leveraging
transformed datasets to forecast complex replication events, providing novel insights into system
behaviors.
- Data Validation: Collaborated with domain experts to validate computational findings,
bridging in silico predictions with experimental results for enhanced reproducibility.
- Model Optimization: Piloted an iterative approach to refine the model's predictive
accuracy, laying the groundwork for furture scaling on larger datasets.
