Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in SQL, Power BI & predictive modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with a BS in Economics and hands-on expertise in SQL, Power BI, Python, and Excel. Combines a strong analytical foundation in econometrics and statistics with practical data skills to transform raw datasets into actionable business insights. Experienced in end-to-end data workflows from data cleaning and transformation to dashboard development and predictive modeling. Adept at identifying trends, building KPIs, and communicating findings to support data-driven decision-making across financial and operational domains.
University of Sargodha
BS · Economics
August 1, 2021 – June 30, 2025
Life Care Foundation
Data & Records Analyst
June 1, 2024 – June 1, 2025
Sargodha, Punjab, Pakistan
Financial Analysis Dashboard
January 1, 2025 – January 1, 2025
Developed an interactive financial dashboard using Power BI to analyze key business metrics including revenue, expenses, and profit trends. Transformed raw financial data into meaningful insights to support strategic decision-making. Cleaned and transformed raw financial data using Power Query for accurate and consistent reporting Designed interactive dashboards featuring KPIs, slicers, and drill-down functionality for dynamic analysis Built DAX measures to calculate revenue, profit margins, and period-over-period growth metrics Analyzed financial performance trends across multiple time periods to identify patterns and anomalies Visualized key insights through charts, tables, and structured stakeholder-ready reports Improved data clarity and reporting efficiency through well-organized, structured visualization
Google Advanced Data Analytics Capstone Project
January 1, 2025 – January 1, 2025
Developed an end-to-end data analysis pipeline using Python to solve a real-world business problem Cleaned, transformed, and visualized datasets to extract actionable insights and built predictive models
SQL Data Analysis Pizza Sales Dataset
January 1, 2024 – January 1, 2024
Performed end-to-end data analysis on a real-world pizza sales dataset, covering data extraction, transformation, and insight generation to support data-driven decision-making. Imported and structured raw CSV data into a relational database for organized analysis Applied advanced SQL queries including JOINS, GROUP BY, and subqueries to evaluate sales performance Identified top-selling products and highest revenue-generating categories Calculated key business metrics including total orders, average daily sales, and revenue contribution by product Analyzed customer ordering patterns and business trends to surface actionable insights Generated strategic recommendations to improve sales performance and business outcomes
K-Means Clustering in Python
January 1, 2024 – January 1, 2024
Implemented K-Means clustering on customer segmentation data using Python Evaluated cluster performance using silhouette scores and visualized results with Matplotlib
Google Advanced Data Analytics Certificate
Google via Coursera
January 1, 2025 – Present
The Nuts and Bolts of Machine Learning
Google via Coursera
January 1, 2025 – Present
Foundations of Business Intelligence
Google via Coursera
January 1, 2024 – Present
Foundations: Data, Data, Everywhere
Google via Coursera
January 1, 2024 – Present
Work Smarter with Microsoft Excel
Microsoft via Coursera
January 1, 2024 – Present
Data Analyst & Business Intelligence Certificate
PNY Training Program
January 1, 2024 – Present
National Certificate Computer Business Management / IT Office Assistant
PBTE
January 1, 2023 – Present
Diploma in Social Media Marketing & Advertising
University of Sargodha - E-Rozgair Training Program
January 1, 2023 – Present
National Certificate of Vocational Qualification in Information (AutoCAD)
TTBP
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's diverse range of certifications and projects, from financial analysis to machine learning and social media marketing, indicates a broad interest in data-related fields and a willingness to learn new technologies. Their academic background in Economics provides a strong analytical foundation, which is valuable for a Data Analyst role. The projects demonstrate initiative and a practical application of skills, suggesting a proactive and results-oriented mindset. While the professional experience is limited, the candidate's continuous learning and project diversity suggest adaptability and a potential to integrate well into a data-driven culture. However, the lack of team-based project descriptions or collaborative work experience makes it difficult to fully assess their cultural fit in a highly collaborative environment.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented approach through project descriptions, emphasizing data cleaning, accuracy, and structured reporting. Their academic background in Economics, combined with various certifications, suggests a proactive learning attitude and a commitment to developing relevant skills. The experience as a Data & Records Analyst, though brief, indicates an ability to manage and streamline data, which aligns with operational efficiency. However, the limited professional experience means direct evidence of collaboration, stress handling, or complex problem-solving in a team setting is not explicitly available.