Poornesh A.

1. Basic Excel Skills Data Entry: Ability to input and organize data efficiently. Cell Formatting: Applying formatting such as font styles, colors, borders, and number formats. Basic Formulas: Using simple formulas like SUM, AVERAGE, COUNT, and basic arithmetic operations (e.g., +, -, *, /). Basic Functions: Utilizing functions like SUMIF, AVERAGEIF, etc., to perform conditional calculations. Sorting and Filtering: Organizing data using sorting and applying filters to display specific records. Charts and Graphs: Creating basic visual representations of data with bar, line, and pie charts. 2. Intermediate Excel Skills Pivot Tables: Creating and customizing pivot tables to analyze large datasets and generate summaries. Advanced Formulas: Using more complex functions like VLOOKUP, HLOOKUP, INDEX, MATCH, and IF statements for data lookup and logic. Data Validation: Setting up data validation rules to ensure data integrity. Conditional Formatting: Applying rules to format cells based on specific conditions (e.g., color-coding cells). Text Functions: Using functions like LEFT, RIGHT, MID, CONCATENATE (or TEXTJOIN), and FIND to manipulate and clean data. Charts and Graphs: Creating dynamic charts, including histograms, scatter plots, and advanced formatting options. 3. Advanced Excel Skills Power Query: Using Power Query to clean, transform, and import data from multiple sources. Power Pivot: Creating data models with Power Pivot to work with large datasets, build relationships between tables, and perform complex analysis. Advanced Formulas: Mastery of array formulas, dynamic ranges, and advanced use of IFERROR, INDEX/MATCH combination, and INDIRECT functions. Macros/VBA: Writing and editing Visual Basic for Applications (VBA) code to automate repetitive tasks and create custom solutions. Dashboard Creation: Designing interactive dashboards using a combination of Pivot Tables, charts, slicers, and form controls. Solver and Scenario Analysis: Using Excel's Solver tool for optimization problems or conducting scenario analysis with Data Tables and Goal Seek. 4. Data Analysis & Reporting Data Modeling: Creating models for forecasting, trend analysis, or financial planning. Advanced Data Analysis: Using statistical functions like CORREL, FORECAST, or regression analysis for in-depth insights. Financial Analysis: Building complex financial models, including cash flow analysis, budgeting, and profitability analysis. Time Series Analysis: Analyzing time-based data (e.g., monthly sales or stock data) using moving averages or seasonal adjustments. 5. Describing Proficiency Level Beginner: "Comfortable with basic Excel functions such as data entry, sorting, basic formulas (SUM, AVERAGE), and creating simple charts." Intermediate: "Proficient in using pivot tables, advanced functions (VLOOKUP, IF), and creating data reports with charts and conditional formatting." Advanced: "Skilled in using Power Query, Power Pivot, VBA for automation,