Deepak

Statistical Analysis and Data Manipulation:

• Proficiency in statistical software (e.g., R, Python with libraries like pandas, NumPy, and SciPy).
• Ability to clean, preprocess, and transform data for analysis.

Data Visualization:

• Familiarity with visualization tools like Tableau, Power BI, or matplotlib/seaborn in Python.
• Ability to create clear and effective visual representations of data.

Excel/Spreadsheet Tools:

• Proficiency in Excel, including functions like VLOOKUP, pivot tables, and data manipulation.

Data Cleaning and Preparation:

• Ability to identify and handle missing data, outliers, and anomalies.

Critical Thinking and Problem Solving:

• Ability to approach complex problems analytically and come up with effective solutions.

Domain Knowledge:

• Understanding of the industry or field you're working in, which helps in interpreting data correctly.