Data Analyst
America/Los_Angeles - PST / PDT
Summary
Three years of experience in data gathering, statistical data analysis, process automation, agile development, cloud computing, IOT, financial analysis, business intelligence and biotechnology. Offering state of the art data science solutions for business teams in Asset Management, sales, marketing, reporting, software engineering, health/finance. Analyzed and produced research material related to statistical science, health informatics, Quantitative analysis, data privacy and Public Policies.
Expectations
In my next role, I am seeking an opportunity that allows me to leverage my expertise in statistical data analysis, machine learning, and cloud computing within the financial sector. I am particularly interested in positions where I can apply my skills in SQL, Python, and data visualization to drive meaningful insights and optimize decision-making processes. I thrive in environments that challenge me to improve operational efficiencies and innovate through data-driven strategies. Furthermore, I am eager to contribute to a team that values collaboration, continuous learning, and a strong data culture, where I can grow my skills in financial analysis and asset management further.
Employment Preferences
Expected Base Salary
**,000 USD
Academic Degree
Experience
Total Professional Experience
Skills
- MySQL
- MS SQL
- PostGreSQL
- SQLite
- RDBMS
- Redshift
- BigQuery
- R
- Python
- JAVA
- Scala
- MS Excel
- Google Sheets
- Tableau
- Looker
- Power BI
- Matplotlib
- Plotly
- SAS
- RStudio
- Hadoop
- Apache Spark
- Oracle
- MongoDB
- AWS
- GCP
- Azure
- Snowflake
- Databricks
- GitHub
- Airflow
- Hypothesis Testing
- A
- B Testing
- ANOVA
- Regression
- Classification
- Time Series Analysis
- Keras
- Tensorflow
- Pandas
- Numpy
- Seaborn
- Scikit-learn
- SVM
- Clustering
- Neural Networks
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