Help & Supportcareers@gravityer.com
Data Analyst with less than a year in data handling & analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a Mechanical Engineering graduate excited about building a career in data analytics. I love working with numbers and visualizing patterns that help teams make smarter decisions. I've trained in Excel, SQL, and Power BI and completed real-world projects like sales dashboards and performance analyses. I bring an engineer's curiosity, practical problem-solving, and a strong desire to keep learning—ready to support a data-driven team and grow as an analyst.
Mohamed sathak engineering college
Bachelor of Mechanical engineering · Mechanical engineering
August 1, 2021 – May 1, 2025
St.Joseph's Hr.Sec.School
Higher Secondary Education
June 1, 2020 – May 1, 2021
BDREAMZ GLOBAL SOLUTIONS
Data analyst - intern
January 1, 2026 – Present
Chennai, Tamil Nadu, India
Retail Sales Performance & Customer Insights Analysis
June 24, 2026 – Present
A data analytics project focused on examining retail sales transactions and customer purchasing behavior to uncover business insights and improve decision-making. The Goal: To analyze sales trends, product performance, and customer segments using retail transaction data. The objective was to identify key revenue drivers, optimize inventory planning, and support business growth through data-driven insights. The Dataset: Utilized the Superstore retail dataset from Kaggle, containing sales, profit, customer, product, and regional data. The dataset was cleaned, analyzed, and visualized using SQL, Excel, and Power BI.
The E-Commerce Sales & Customer Performance Dashboard
June 24, 2026 – Present
If you want to show a direct impact on business revenue, this is your best bet. It mimics the exact type of requests you will get from product and sales managers. The Goal: Analyze sales trends to find which products drive the most profit, identify underperforming categories, and track customer purchasing patterns. The Dataset: Look for standard datasets like the Online Retail Dataset or Global Superstore on Kaggle. They contain transaction histories with quantities, prices, dates, and locations.
Master in Data analytics
Besant Technologies
January 1, 2026 – Present
Additive manufacturing
PMKYV Skill Development
February 1, 2024 – April 1, 2024
Cultural Fit Analysis
The candidate shows initiative in transitioning from Mechanical Engineering to Data Analytics, undertaking relevant certifications and personal projects. This demonstrates adaptability and a growth mindset. The projects focus on business-oriented insights (e-commerce sales, retail performance), aligning with typical data analyst roles. However, the overall experience is limited, which might require more mentorship in a team setting.
Soft Skills & Operational Fit
The candidate's resume highlights an engineer's curiosity, practical problem-solving, and a strong desire to keep learning, which are positive indicators for operational fit. The internship experience suggests an ability to work with real-world data tasks and contribute to reporting.