Nastaran(Nora) Badrzadeh

• Current Job Experience:
  
  Current Company | University of Maryland, Baltimore (IGS)
  

GATES Project:

Collaborated closely with the VMRC project team, obtaining essential items for the GATES project.
Organized and managed genomic data for the GATES project, ensuring accessibility for the project team.
Developed and conducted training sessions under the VMRC project, focusing on tool usage and VMRC operations.
Worked collaboratively with the Bioinformatic Analyst to coordinate VMRC activities, ensuring analytical results were effectively disseminated through tools like Synapse.
Implemented Data Harmonizer for data validation, ensuring the accuracy and integrity of the data.

Other Contributions:

Executed GenBank and GEO submissions to support data sharing and archiving.
Led the rotation of genomes using tools such as Blast, NUCmer, and Mummerplot.


NeMo Project:

Conducted Quality Control (QA) processes for the NeMo project to ensure data integrity.
Transferred validated data to Google Cloud Platform (GCP) buckets to facilitate seamless project workflow.
Opened and managed Jira tickets, addressing project-related issues and tasks for the NeMo project.

• Data Analyst Intern Experience:
  
  Company Name | University of Maryland, Baltimore( IGS)
  
• Data Visualization and Analysis:
  
  Utilized Python libraries, including Pandas and Matplotlib, to visualize log data related to storage and usage on the Google Cloud platform.
  Conducted in-depth analysis to identify patterns and trends in the usage of different data file types (e.g., fastq, bam).
  Implemented data visualization techniques to determine which data files consumed significant storage but were seldom or rarely downloaded.
  
• Optimization Strategy:
  Developed and implemented a data optimization strategy based on the analysis findings to reduce storage costs.
  Identified data files with excessive storage requirements but minimal or negligible download activity, enabling more efficient resource allocation.
  Geographical and Temporal Analysis:
  
  Implemented geographical analysis to identify the regions where data downloads were most prominent.
  Utilized heat maps to visualize download patterns.
  Analyzed temporal trends to understand the distribution of data downloads across months and years.
  
• Results and Insights:
  Provided actionable insights to optimize data storage, leading to improved resource utilization.
  Enabled data-driven decision-making by presenting findings on download patterns and geographical preferences.
  
• Tools and Technologies:
  Python (Pandas, Matplotlib)
  Google Cloud Platform

• Resolved customer disputes to maintain positive relationships and increase customer base.
• Executed sales and marketing initiatives to increase revenue for the company.
• Drafted quotes, confirmed orders, and managed transfers to handle rental needs efficiently.
• Entered rental payment and late fee data into SQL
• Utilized exemplary negotiation skills to obtain manufacturing service agreements and assure quality
standards.