Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Python, SQL & Power BI, skilled in EDA & data visualization.
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 Fresher with internship and project experience in Python, SQL, Excel, and Power BI. Skilled in Data Cleaning, Exploratory Data Analysis (EDA), Dashboard Development, Data Visualization, Business Intelligence Reporting, and transforming raw data into actionable business insights.
Presidency University, Bengaluru
B.Tech Computer Engineering (Artificial Intelligence & Machine Learning) · Computer Engineering (Artificial Intelligence & Machine Learning)
August 1, 2020 – June 30, 2024
Srujana Junior College
MPC · Science
N/A – Present
Indus High School
SSC
N/A – Present
DataTeach.ai
Data Analytics Intern
May 1, 2026 – June 1, 2026
India
Sales Analysis (Adidas)
July 1, 2024 – December 1, 2024
• Performed EDA on Adidas sales data to analyze sales performance across products, regions, and time periods. • Analyzed total sales, profit, units sold, and profit margin. • Used bar charts, line plots, boxplots, and heatmaps to identify trends and seasonality. • Compared sales performance across regions, retailers, product categories, and sales channels. • Identified top-performing and underperforming products and regions.
Exploratory Data Analysis (EDA) on Factors Affecting Price of an Automobile
January 1, 2024 – June 1, 2024
• Performed EDA on automobile price data to understand key factors influencing car prices in the US market. • Cleaned and preprocessed data by handling missing values, incorrect data types, and categorical variables. • Analyzed relationships between independent variables with respect to dependent variable price. • Used histograms, boxplots, scatter plots, and correlation heatmaps to identify trends and outliers. • Identified significant features affecting car prices using statistics and data visualization.
MATLAB for Data Processing and Visualization
MathWorks
June 1, 2026 – Present
Artificial Intelligence
Teachnook & IIT Bhubaneswar
June 1, 2026 – Present
Introduction to Supervised & Unsupervised Machine Learning
Simplilearn
June 1, 2026 – Present
Data Analytics Course
DataTeach.ai
June 1, 2026 – Present
Data Analytics Internship
DataTeach.ai
June 1, 2026 – Present
The candidate scored 65% on the Python Internship Test, indicating a fair understanding of core Python and data analysis concepts but also highlighting areas for improvement in more advanced topics or specific skill applications like unit testing and streaming data.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects and internship experience demonstrate a clear interest and foundational skill set in data analysis, aligning well with a Data Analyst role. The diversity of projects (automobile pricing, sales analysis) shows an ability to apply skills across different domains. The certifications in AI and ML, alongside data analytics, indicate a broad interest in related technical fields. However, the experience is primarily academic and internship-based, suggesting a need for further development in real-world, complex problem-solving scenarios to fully align with senior-level expectations. The psychometric test score suggests an average cultural fit, with potential areas for growth in collaboration and stress handling.
Soft Skills & Operational Fit
The candidate's psychometric test score of 310/500 suggests average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration. While the English test score of 64/100 indicates acceptable communication clarity, there is room for improvement in professional language usage. The candidate's academic projects and internship demonstrate a proactive approach to learning and applying data analysis skills, which is a positive indicator for operational fit, but the psychometric results suggest potential areas for development in soft skills crucial for senior roles.