Summary
Overview
Work History
Education
Skills
Activities Involvement
Timeline
Generic

Aashvi Shah

New York,,NY

Summary

Dynamic data and analytics expert merging technical precision with innovative insight, crafting comprehensive data products, interactive dashboards, and automation solutions that transform raw data into compelling narratives.

Overview

3
3
years of professional experience

Work History

Network Data Analyst, Technical Product Management

MERCK SHARP & DOHME
Rahway, NJ
09.2024 - Current
  • Reduced incident resolution time by 20% by independently developing and deploying a live network health dashboard using Python Dash, Docker, and AWS EC2, monitoring ~200 devices across four continents and surfacing real-time anomalies
  • Improved reporting accuracy and trend analysis by designing and maintaining a structured SQL database to store high-volume system health metrics, enabling consistent insights across technical and business stakeholders
  • Accelerated root-cause resolution in video conference devices by creating Power BI visualizations that exposed regional downtime patterns, peak outage periods, and device-specific issues, making complex data actionable for cross-functional teams
  • Consolidated 100+ dashboards by leading a quality assurance audit to evaluate usage and business value, streamlining fragmented reports into a unified portal and reducing dashboard sprawl by over 60%
  • Led portal development by acting as the primary liaison between engineers and designers, driving wireframe creation and UI/UX decisions to ensure user-persona–based navigation that improved workflow efficiency for technical teams
  • Drove continuous improvement by supporting agile product development, contributing to sprint planning, backlog refinement, and iterative product enhancement using JIRA and stakeholder feedback.

Data Science/Data Engineering Co-Op

MORPHIC THERAPEUTICS
07.2023 - 12.2023
  • Developed and implemented an integrated notification system linking Benchling with AWS and Slack, enhancing real-time event tracking and communication efficiency; involved configuring event triggers, creating a specialized Slack bot, and scripting AWS Lambda functions for automated message processing
  • Leveraged SQL queries to extract targeted insights from the company’s Benchling Data Warehouse, enriching Slack notifications
  • Conducted comprehensive testing and deployment in Benchling's production environment, ensuring accurate and timely updates for key events like entity registrations and workflow changes, significantly improving team responsiveness and workflow
  • Developed several Python scripts, including tools for reformatting CSV data for Benchling integration and automating the packaging and distribution of code, enhancing data handling and code deployment efficiency within the company

Data Analytics Co-Op

BRISTOL MYERS SQUIBB
Devens, MA
07.2022 - 12.2022
  • Created manufacturing data monitoring dashboards using Seeq software to trend commercial biologics processes
  • Applied multiple statistical analyses of downstream manufacturing data to create golden profiles of chromatogram data
  • Designed a visualization tool in Seeq to segregate phases of a drug purification process based on live, continuous chromatogram data (conductivity, pressure, and pH, etc.)
  • Documented detailed instructions on how to use and access software, data monitoring tools, and example references on a company’s Microsoft SharePoint site serving as onboarding manual for new employee and refresher for the current employees

Education

Bachelor of Science - Data Science & Behavioral Neuroscience

NORTHEASTERN UNIVERSITY
Boston, MA

Skills

  • Python
  • SQL
  • Tableau
  • Adobe Analytics
  • Microsoft Office 365
  • Stakeholder Engagement
  • Collaboration
  • Agile Methodologies
  • Microsoft Excel
  • Power BI

Activities Involvement

Events Chair – NMDP                                                                  

Planned and executed bone marrow match swabbing events, exceeding goals by 121% during the debut event and driving a 38% increase in participation in subsequent events., Secured sponsorships and partnerships, negotiating incentives that boosted engagement and donor registrations., Developed and implemented marketing strategies, creating themed campaigns tailored to student needs to maximize outreach., Educated participants on the organization’s mission and process, effectively increasing donor registrations and awareness.

Timeline

Network Data Analyst, Technical Product Management

MERCK SHARP & DOHME
09.2024 - Current

Data Science/Data Engineering Co-Op

MORPHIC THERAPEUTICS
07.2023 - 12.2023

Data Analytics Co-Op

BRISTOL MYERS SQUIBB
07.2022 - 12.2022

Bachelor of Science - Data Science & Behavioral Neuroscience

NORTHEASTERN UNIVERSITY