Help & Supportcareers@gravityer.com
Recent Computer Science Graduate seeking a challenging Data Analyst position to leverage analytical
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent Computer Science graduate seeking a challenging Data Analyst position where I can leverage my skills in SQL, Python, Excel, Power BI, data visualization, statistical analysis, and problem-solving to contribute effectively to organizational growth. Eager to enhance my analytical expertise, develop new skills, and gain valuable professional experience while delivering data-driven insights and achieving excellence in my career.
Aravali College Of Engineering and Mangemenet, Tiagaon Faridabad
Bachelor of Technology · Computer Science
August 1, 2022 – June 30, 2026
CBSE
Intermediate
N/A – May 31, 2022
CBSE
High School
N/A – May 31, 2020
Exploratory Data analyst (EDA) - Diwali Sales Dataset
June 24, 2026 – Present
Cleaned and prepared data using Pandas. Performed customer segmentation based on age, gender, and purchasing behavior. Built regression model using Scikit-Learn to predict sales trends. Visualized insights using Matplotlib and Seaborn.
Customer Purchasing Behavior Analysis
June 24, 2026 – Present
Conducted EDA and data preprocessing on customer purchasing data. Analyzed customer demographics and purchasing patterns. Developed predictive models to forecast customer behavior. Created visualizations and dashboards to communicate insights.
Cultural Fit Analysis
The candidate is a recent graduate with academic projects demonstrating an interest in data analysis. The projects show a willingness to learn and apply various data tools. However, without professional experience or diverse project types, it's difficult to fully assess cultural fit beyond a basic alignment with analytical roles. The focus on academic projects suggests a foundational understanding but lacks real-world team collaboration or business context.
Soft Skills & Operational Fit
The candidate lists communication, time management, attention to detail, and problem-solving as soft skills. While these are crucial for a data role, there is no evidence from completed tests or professional experience to validate their application in a work setting. The academic projects indicate some level of organization and analytical thinking.