Data Analyst
Technical Skills: Microsoft Excel, Tableau Public & Desktop, SQL, and Python
Education
- Certificate in Data Analytics, FULLSTACK ACADEMY (Aug 2024 – Feb 2025)
- Bachelor of Science in Forensic Chemistry & Minor in Mathematics, YORK COLLEGE OF PENNSYLVANIA (May 2023)
Experience
SPECIALIST I | Eurofins BioPharma Product Testing North America (Jun 2023 - Present)
- Authored over 72 protocols to meet client and regulatory requirements, demonstrating strong analytical thinking and attention to detail.
- Translated over 65 client-written protocols into Laboratory Information Management System (LIMS).
- Facilitated protocol development and approval, collaborating across departments including Peer Review, Data Review, QA, and more.
- Maintained accurate and comprehensive records for protocols, reports, and 340+ change requests.
- Interfaced directly with clients to clarify study needs and gather information.
- Mentored new hires in building studies, including both new and client-written protocols, and provided oversight on their drafts.
IMPACT CHEMIST INTERN | Fiction Formulations & Services (Jan 2022 – May 2022)
- Organized and manipulated data via Microsoft Excel.
- Created charts to interpret lab results and determine accuracy.
Technical Projects
CAR SALES ANALYSIS (Jul 2025)
- Summary: Analyzed car sales data for various makes from 2014 to 2015.
- Technologies used:
- Excel: Performed initial data cleaning and formatting.
- Python: Conducted further data cleaning, exploritory data analysis (EDA), data quality checks, data distribution checks, correlation analysis, and data aggregation.
- Power BI: Developed dashboards to deliver final insights.
- View code files and dashboards here.
ANALYSIS OF CRIME IN MONTGOMERY COUNTY, MD FROM 2016 – 2025 (May 2025)
- Summary: Analyzed crime data for Montgomery County, MD, identifying patterns in crime rates over time and across different crime types.
- Technologies used:
- Python: Conducted data cleaning, exploratory data analysis (EDA), and performed data quality and distribution checks.
- SQL: Developed and managed tables to store cleaned data and facilitate further trend analysis.
- Tableau: Visualized insights and created a formal presentation to effectively communicate findings.
- View code files here.
- View formal presentation including dashboards and insights available on Tableau.
ANOMOLY DETECTION IN CREDIT CARD TRANSACTIONS (Feb 2025)
- Summary: Analyzed credit card data to identify patterns indicative of fraudulent activity.
- Technologies used:
- Python: Performed exploratory data analysis (EDA), data quality checks, and distribution assessments.
- SQL: Aggregated and analyzed data to uncover trends and anomalies.
- Tableau: Developed interactive dashboards and delivered formal presentations with key insights.
- View code files here.
- View formal presentation including dashboards and insights available on Tableau.
Contact Me
- LinkedIn: https://www.linkedin.com/in/christina-hoidra/
- Email: cehoidra@gmail.com