Junior SQL & Data Analytics Analyst

Menlo Park, CA

Phone: 415-***-****

Email: *********@*****.***

LinkedIn US Citizen Parisa Pazooki

Data Analytics Data Management Data Automation EDUCATION

M.Sc. in Biotechnology (Focus: Bioinformatics) University of San Francisco (USF) San Francisco, CA August 2020 – December 2022 M.Sc. in Genetics Azad University, North Tehran Branch Tehran, Iran September 2014 – September 2017 B.Sc. in Cellular and Molecular Biology Azad University, North Tehran Branch Tehran, Iran September 2006 – September 2010 TECHNICAL SKILLS

• Data Analysis & Programming: SQL, Python, Bash; pandas, NumPy; data cleaning, transformation, validation, integration

• Databases & SQL: Google BigQuery, PostgreSQL; relational databases, tables and schemas, SQL querying, joins, aggregations, filtering; DML (INSERT, UPDATE)

• Cloud & Data Workflows: Google Cloud Platform (GCP), AWS (S3, EC2, Batch); automated data processing, ETL workflows, workflow monitoring, troubleshooting

• Development & Collaboration: Linux/UNIX, Docker, Git, Jira, Confluence; technical documentation, issue tracking PROFESSIONAL EXPERIENCE

Bioinformatics Scientist Pragma Biosciences

South San Francisco, CA Apr 2024 — Present

• Query and maintain large biological and clinical datasets in Google BigQueryusingSQL, working with relational tables and schemas, joins, filtering, aggregations, and DML operations.

• Develop Python and SQL data workflows to integrate datasets from multiple sources, create and maintain analysis-ready tables, and validate schema consistency, missing values, duplicates, and data integrity.

• Monitor data-processing workflows, troubleshoot data and pipeline issues, and evaluate potential downstream impacts on analytical results.

• Collaborate with cross-functional teams to investigate data issues, document workflows, and communicate findings using Jira and Confluence.

Bioinformatics Scientist PawCo Foods

San Francisco, CA Jan 2023 — Apr 2024

• Built and maintained Python, SQL, and Bash data pipelines to query, transform, and integrate structured datasets across relational tables, using joins, aggregations, and DML operations.

• Developed reusable Python and SQL workflows to prepare and maintain structured datasets, validate table-level data quality, and ensure consistency across downstream data processes.

• Monitored pipeline execution, investigated processing failures and data-quality issues, and resolved problems affecting downstream outputs.

• Optimized data-processing workflows, reducing computational costs by more than 40% while improving efficiency and reproducibility.

Research Intern Recombia Biosciences

South San Francisco, CA Jun 2022 — Sep 2022

• Developed Python-based tools to retrieve, process, and organize biological data from public databases, including UniProt.

• Automated data-processing and validation tasks to improve data consistency and reduce manual processing.

• Analyzed and organized sequence and experimental datasets to support downstream research and reporting. Research Intern University of California San Francisco San Francisco, CA Jun 2021 — Dec 2021

• Processed, cleaned, and analyzed genomic datasets using Python, R, and command-line tools.

• Performed data quality checks and maintained reproducible workflows for downstream analysis.

• Integrated data from multiple sources and prepared structured outputs, visualizations, and summaries for research teams. Research Scientist Pasteur Institute of Iran

Tehran, Iran Oct 2017 — Nov 2019

• Analyzed genetic and clinical data using chi-squared and Fisher’s exact tests to investigate factors associated with chronic myeloid leukemia.

• Evaluated genotype–phenotype associations and integrated clinical variables to support cancer-focused biomedical research. SELECTED PUBLICATIONS

Key genes and regulatory networks involved in the initiation, progression, and invasion of colorectal cancer; Future Science 2018

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