Data Analyst & Research Scientist for Multimodal Data

SUJASHA GUPTA

Baltimore, MD • 352-***-**** • *******.*****.***@*****.***

DATA ANALYST RESEARCH SCIENTIST

Data analyst and research scientist who turns messy real-world datasets into clean tables, clear visuals, and actionable takeaways. Experienced with multimodal physiology and human performance data, including EEG and fNIRS, plus building reproducible Python workflows for cleaning, QA, analysis, and reporting in remote teams.

Core strengths

Data cleaning, QA, and dataset organization

Exploratory data analysis (EDA), trend/pattern detection, anomaly spotting

Data visualization for stakeholders, charts, summary tables, concise narratives

Cross-functional collaboration, documentation, and deadline-driven execution

Tools

Excel (pivot tables, Power Query, dashboards)

SQL (joins, CTEs, window functions)

Python (pandas, numpy, matplotlib, Jupyter)

Tableau or Power BI

Data cleaning, QA rules, anomaly detection

Dashboarding and stakeholder reporting

Signal processing and feature extraction (EEG, fNIRS)

Professional Experience

The Geneva Foundation, Postdoctoral Research Fellow (Walter Reed National Military Medical Center) Bethesda, MD 03/2024–present

Analyzed large multimodal physiology datasets to translate raw signals into decision-ready insights on human performance and recovery.

Built repeatable Python workflows for data cleaning, quality checks, artifact detection, and feature extraction across EEG and fNIRS data streams.

Created stakeholder-ready visuals and summaries that surfaced trends, patterns, and anomalies, and tied them to physiology and performance outcomes.

Collaborated with engineers, clinicians, and program teams to turn findings into clear recommendations for protocol tweaks, device iterations, and next-step analyses.

Supported sponsor-facing deliverables and program reporting for DARPA and Congressionally Directed Medical Research Programs funded projects.

Johns Hopkins University, Research Consultant Baltimore, MD 08/2023 – 12/2023

Collected, cleaned, and organized research datasets to support analysis and reporting.

Interpreted analysis results to draw defensible conclusions and communicate findings through written deliverables.

Developed data collection strategies and monitored data quality to improve reliability of downstream analysis.

Built repeatable analysis workflows in notebooks, produced charts and summaries for stakeholders. (Keep this if true, otherwise delete)

HeMemics Biotechnologies, Research Scientist Gaithersburg, MD 09/2022–05/2023

Planned and executed experiments, maintained structured records, and delivered clear reporting against tight timelines.

Performed exploratory analysis on graphene sensor performance data to surface trends and anomalies.

Streamlined research processes to reduce cycle time and keep projects moving under deadline pressure.

Supervised junior staff and supported cross-team coordination.

Johns Hopkins Hospital, Postdoctoral Fellow Baltimore, MD 08/2020–09/2022

Completed analysis of experimental datasets, verified documentation, and maintained reproducible records of results.

Conducted independent research and collaborated with colleagues to publish findings.

Translated complex scientific results into stakeholder-friendly writing, summaries, and presentations.

Education

PhD, Mechanical Engineering The Ohio State University 08/2020

MS, Materials Science University of Florida 05/2015

Certifications

Applied Data Science and Machine Learning, MIT Professional Education (Sept–Dec 2023)

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