
• Data Science and Analytics graduate with 1+ years of experience in statistical analysis, data modeling, machine learning.
• Proficient in Python, SQL, Power BI, R, and ETL pipelines for effective data analysis and automation.
• Experienced in analyzing large datasets and building interactive dashboards to support data-driven decision-making.
• Strong understanding of performance metrics, API functions, and test environment setup.
• Proven ability to extract actionable insights from data and optimize business processes.
• Adept at collaborating with cross-functional teams and presenting insights to stakeholders.
Data Analysis and Interpretation: Proficiency in analyzing datasets, identifying trends, patterns, and insights to support decision-making
Technical Skills: Expertise in tools like SQL, Excel, Python, R, and data visualization software (eg, Tableau, Power BI)
Data Cleaning and Preparation: Ability to preprocess and clean raw data for accurate and efficient analysis
Communication and Visualization: Strong skills in presenting data-driven insights through charts, dashboards, and reports to both technical and non-technical audiences