Detail-oriented and results-driven Data Analyst with 2+ years of hands-on experience in data analysis, visualization, and reporting. Proficient in Python, SQL, and R, with strong knowledge in data visualization, machine learning, and predictive analytics. Demonstrated ability to work in a fast-paced environment and collaborate across departments to deliver valuable insights, improve processes, and support strategic goals.
Data Analysis Tools:Python (Pandas, NumPy), R, SQL, Excel
Databases: MySQL, PostgreSQL, Microsoft SQL Server
Machine Learning: Regression, Classification, Clustering, Time Series
Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
Big Data Technologies: Hive, Spark (Basic)
Cloud Platforms: AWS (EC2, S3), Azure (Data Lake)
Statistical Skills: Descriptive Statistics, Hypothesis Testing, A/B Testing, Regression Analysis
Collaboration Tools: Jira, Confluence, Slack, Microsoft Teams
Programming Languages: Python, R, SQL
Query Languages: SQL, HiveQL
Version Control: Git, GitHub