With expertise in SQL and R, I offer in-depth analysis, efficient data processing, and clear visual storytelling that empowers businesses to make data-backed decisions. Whether you're dealing with large datasets, complex queries, or predictive modeling, I ensure you get clean, structured, and insightful reports.
SQL for Descriptive Analytics
🚩Data Cleaning & Processing
Raw data is often messy — filled with null values, duplicates, inconsistent formatting, and unnecessary spaces. We use a wide range of SQL functions to clean, standardize, and validate the data. This ensures data integrity and prepares it for accurate analysis.
🚩Trend Analysis
SQL provides powerful aggregation and grouping tools that help uncover trends and patterns across demographics, geography, and time. Whether it’s identifying seasonal spikes or regional preferences, we use SQL to extract meaningful insights from raw datasets.
🚩Data Modeling & Joins
We connect multiple datasets using SQL joins (Inner, left, right joins ) to create a unified view across various sources — whether it’s customer data, transactions, or product catalogs.
🚩Building layered insights
We use Common Table Expressions (CTEs) and nested subqueries to break down complex analytical logic into clear, manageable steps. This enables us to Build layered insights (e.g., top customers by monthly growth) and Perform multi-stage filtering and transformation
🚩Assigning custom categories
By using conditional formatting and dynamic calculations directly into SQL queries. This allows us to assign custom categories (e.g., customer segments, priority flags) and highlight outliers
R Programming language for Statistical Analysis
💡Statistical Testing & Inference
We use R to perform hypothesis testing such as t-tests, chi-square, and ANOVA to determine statistical significance and guide data-driven decisions.
💡Predictive Modeling
With tools like linear and logistic regression, I build models that uncover trends, predict outcomes, and evaluate relationships between key variables.
💡Data Exploration & Summary Statistics
We analyze data using measures of central tendency, dispersion, frequency distributions, and correlation to uncover insights and structure.
💡Data Categorization & Transformation
Using specialized functions, we segment data into logical bins or groups, supporting stratified analysis and clear comparisons.
💡 Visualization & Insight Communication
Using visualization packages, I create visualizations that translate complex results into clear, engaging graphics for storytelling and reporting.
Analysis Process and Industries
Vision
To be the leading provider of innovative, data-driven solutions that enable organizations to make informed decisions, drive business growth, and unlock their full potential through advanced analytics and cutting-edge business intelligence
Mission
At Dimension Metrics, the mission is to empower organizations with actionable insights through comprehensive data analysis and business intelligence solutions.