Help & Supportcareers@gravityer.com
Data with less than a year in Python, SQL, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in Python, SQL, and Power BI through a Data Science internship and multiple end-to-end projects. Skilled in EDA, data cleaning, machine learning, and visualization. Certified by Microsoft, Oracle, and Deloitte.
Sharda University
B.C.A. · AI & ML Specialization
August 1, 2023 – June 30, 2026
Codtech IT Solutions Pvt. Ltd.
Data Science Intern
January 1, 2024 – January 28, 2024
India
House Price Prediction
June 1, 2026 – Present
• Engineered a custom feature (TAXRM = TAX/RM) and used correlation analysis to identify key price predictors. • Trained Linear Regression, Decision Tree, and Random Forest models; selected Random Forest (lowest RMSE) with 10-fold cross-validation.
Blinkit Sales Data Analysis
June 1, 2026 – Present
• Cleaned messy e-commerce data and analyzed category-wise distribution, price-quantity correlation, and top-selling insights. • Delivered bar charts, histograms, pie charts, and heatmaps to communicate trends clearly.
Netflix Movie Data Analysis
June 1, 2026 – Present
• Conducted EDA on Netflix dataset to uncover content trends, genre distributions, and release patterns for business insights.
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Data Analysis & Visualization with Power BI
Microsoft
June 1, 2026 – Present
Databases for Developers
Oracle
June 1, 2026 – Present
AI & ML Projects
Great Learning
June 1, 2026 – Present
Programming with Python
Skill Up
June 1, 2026 – Present
Power BI for Beginners
Skill Up
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show a strong interest in data analysis and machine learning, aligning with a data-centric culture. The diversity of projects (house price, e-commerce sales, Netflix content) indicates a willingness to explore different problem domains. However, the experience is primarily academic and internship-based, so the ability to integrate into a fast-paced, collaborative professional environment needs further validation.
Soft Skills & Operational Fit
The candidate lists analytical thinking, data-driven problem solving, communication, and teamwork as soft skills. These are relevant for a data role. However, without specific examples or interview data, the depth of these skills cannot be fully assessed. The operational fit is moderate, given the academic project focus and limited professional experience.