Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with less than a year in Data Analytics & Visualization
As a dedicated and results-driven Data Analyst, I bring a solid foundation in statistical analysis, data interpretation, and proficiency in programming languages such as Python and SQL. With a keen eye for detail and a passion for transforming raw data into actionable insights, I have successfully contributed to informed decision-making in previous roles. My expertise extends to Data cleaning, visualization, and reporting, utilizing tools such as Excel and Power Bi to convey complex findings to both technical and non-technical stakeholders. Possessing strong problem-solving abilities, I excel in identifying trends, patterns, and opportunities within datasets, thereby providing valuable contributions to organizational goals. My commitment to continuous learning ensures that I stay abreast of the latest industry trends and technologies, further enhancing my capabilities as a versatile and effective Data Analyst.
KFS university
BACHELOR OF ENGINEERING · COMPUTERS AND CONTROL SYSTEMS
August 1, 2018 – June 30, 2023
Procter & Gamble (P&G)
Data Analyst and Project Coordinator
June 1, 2025 – Present
India
MOHAMMED BIN SALMAN FOUNDATION
MISK WITH STC INTERNSHIP
January 1, 2024 – March 1, 2024
India
SALES INTELLIGENCE (MEDALLION_DWH)
January 1, 2023 – December 31, 2023
This project demonstrates comprehensive Data Warehousing and Analytics solutions, from building a DWH to generating actionable insights. Data Architecture: 1. Bronze Layer: Stores raw data as-is from the source systems. Data is ingested from CSV Files into SQL Server Database. 2. Silver Layer: This layer includes data cleansing, standardization, and normalization processes to prepare data for analysis. 3. Gold Layer: Houses business-ready data modeled into a star schema required for reporting and analytics. This project involves: 1. Data Architecture: Designing a Modern Data Warehouse Using Medallion Architecture Bronze, Silver, and gold layers. 2. ETL Pipelines: Extracting, transforming, and loading data from source systems into the warehouse. 3. Data Modeling: Developing fact and dimension tables optimized for analytical queries. 4. Analytics & Reporting: Creating SQL-based reports and dashboards for actionable insights.
SALES DATA MART USING SSIS
January 1, 2023 – December 31, 2023
Designed a Star Schema Data Warehouse with Fact and Dimension tables (product, customer, territory, date, sales). Built ETL pipelines in SSIS using Data Flow tasks, Lookups, Derived Columns, and SCD types to get data from DB Source to OLE DB Destination. Implemented Full and Incremental loads using a Modified Date column and a control table for tracking changes. Used Python to generate a custom date dimension and handle edge cases for nulls and surrogate keys. Optimized Data integrity with keys, indexes, and pre-load truncation for error-free incremental processing
INVENTORY ANALYSIS DASHBOARD
January 1, 2023 – December 31, 2023
We want to investigate possible improvements in inventory management and purchases. This report focuses on helping you import, analyze and visualize (Stock, Price, Orders, Customers, Country, Costs and Categories) data. We explore our data (EDA) and correct the datatypes of the columns, making a star schema (Data Modeling) and DAX measures. Inventory Analysis: 1. Average inventory value. 2. Inventory turnover. 3. ABC: items into three ABC categories. Data Visualization: Use the appropriate chart for each detail.
SUPERSTORE SALES DASHBOARD
January 1, 2023 – December 31, 2023
Loading sales datasets as OBT (one big table), Cleaning data and making Fact and Dimension tables by Power Query for Modeling. By Power Pivot: we create relationships between fact and dimension tables and make advanced DAX measures. Using Pivot tables to make our analysis for the data and Data Visualization: Use the appropriate chart for each detail.
BIKE SHOP ANALYSIS DASHBOARD
January 1, 2023 – December 31, 2023
We need to develop a dashboard for "Bike Share" that displays our key performance metrics for informed decision-making. This report focuses on creating a new database, loading CSV files with SSMS for writing Queries to join tables and making CTE. We explore our data (EDA) and correct the datatypes for the data to be ready for Data Modeling and make advanced DAX. Data Visualization: Use the appropriate chart for Hourly Revenue - Profit and Revenue Trends - Seasonal Revenue - Rider Demographics.
B2B SALES ANALYSIS
January 1, 2023 – December 31, 2023
We analyze our data that contains information about Retailers, Orders, order date, Order Status, Region, Sales and Discounts. We explore and clean the datasets (EDA) and calculate some KPIs like: Total monthly sales, Orders, Retailers, AOV and Frequency calculating Sales, Daily Activation, churn rate, Orders' success rate and delayed orders per month per region. Document Key insights, writing notes and explanations for each KPI with suitable charts.
SQL Server Skill Track
ITI and Datacamp
June 1, 2026 – Present
Excel Fundamentals Skill Track
Datacamp
June 1, 2026 – Present
Power BI Career Track
Datacamp
June 1, 2026 – Present
Python Career Track
Datacamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering sales, inventory, and bike-share analysis, indicates adaptability to various business domains. Their experience with both established tools (Excel, SQL Server) and modern platforms (Azure, Databricks, Power BI, Python) shows a willingness to embrace new technologies. The internship with STC and the P&G role suggest an ability to work within structured corporate environments. The target role of Data Analyst aligns well with their demonstrated skills and project experience, indicating a good cultural fit for data-centric teams.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities and a commitment to continuous learning, which are valuable soft skills for a Data Analyst role. Their project descriptions indicate an ability to transform raw data into actionable insights and convey complex findings to both technical and non-technical stakeholders. The P&G experience as a Data Analyst and Project Coordinator suggests an operational fit for roles requiring data management, analysis, and coordination.