Help & Supportcareers@gravityer.com
Data with 2+ years in SQL & Python for Data 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
Data Analyst with hands-on experience in SQL, Python (Pandas, NumPy, Matplotlib), and Power BI for data analysis and visualization. Skilled in exploratory data analysis (EDA), data cleaning, and transforming structured datasets into actionable insights for business decision-making. Experienced in writing optimized SQL queries, building interactive dashboards, and performing statistical analysis to support data-driven strategies. Proficient in Jupyter Notebook for documenting analysis workflows and communicating insights through clear visualizations and reports.
Bengaluru University
Master of Computer Applications (MCA)
N/A – June 30, 2024
Amrita School of Arts and Sciences
Bachelor of Computer Applications (BCA)
N/A – June 30, 2022
Sales Data Analysis
June 1, 2024 – Present
Performed exploratory data analysis on sales datasets to identify revenue trends, customer purchasing patterns, and product performance. Wrote optimized SQL queries using joins, aggregations, subqueries, and filtering to extract insights from transactional databases. Generated summary reports highlighting top-performing products and seasonal sales patterns to support business decisions.
Crop Recommendation System
June 1, 2024 – Present
Conducted exploratory data analysis on soil and environmental datasets using Python libraries including Pandas, NumPy, and Matplotlib. Implemented machine learning models such as Random Forest and Logistic Regression to recommend suitable crops based on environmental conditions. Improved model accuracy from 76% to 88% through feature engineering, preprocessing, and hyperparameter tuning.
Business Performance Dashboard
June 1, 2024 – Present
Developed interactive Power BI dashboards to track key business KPIs including revenue, profit, regional performance, and customer segmentation. Extracted and transformed data using SQL before building visual reports and dashboards. Applied data cleaning and validation techniques to ensure accuracy and reliability of reporting insights.
Post Graduate Program in Data Science and Analytics (Advanced ML Track)
Unknown
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are primarily academic, focusing on core data analysis and machine learning tasks. While these align with a 'Data' target role, the lack of professional experience or diverse project types (e.g., cross-functional team projects, open-source contributions) limits the assessment of cultural fit beyond technical alignment. The skills listed are relevant to data roles, but the breadth of exposure to different industry contexts or team dynamics is not evident.
Soft Skills & Operational Fit
The candidate's resume highlights experience in communicating insights through visualizations and reports, suggesting an ability to translate technical findings into business-understandable information. The project descriptions indicate a structured approach to problem-solving (e.g., improving model accuracy through systematic steps). However, without specific operational experience or team-based project details, it's difficult to fully assess collaboration or stress handling.