Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Python, SQL & 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
Detail-oriented and results-driven Data Analyst with strong expertise in Python, SQL, and data visualization tools. Skilled in data processing, data validation, and statistical analysis to generate actionable insights. Proven ability to clean, analyze, and interpret large datasets to support data-driven decision-making and improve business performance.
Malla Reddy Institute of Engineering and Technology, Hyderabad
B.Tech · Computer Science Engineering (Data Science)
August 1, 2021 – June 30, 2025
Sri Raja Rajeshwari Junior College, Mancherial
Intermediate · MPC
June 1, 2019 – May 31, 2021
Mother Teresa English Medium High School, Mandamarri
SSC
June 1, 2018 – May 31, 2019
Smart Bank Management System — Power BI
June 1, 2025 – June 1, 2026
Developed an interactive dashboard analyzing 50,000+ records; performed data processing, validation, and quality checks to ensure accuracy. Generated KPIs and insights using DAX and Power Query to support business decision-making.
Sales Dashboard Using Power BI
June 1, 2025 – June 1, 2026
Built dynamic dashboards to analyze revenue, profit, and regional performance using Power BI. Performed data cleaning, transformation, and validation using Excel and DAX for accurate reporting.
Multi-Stream Feature Fusion for Traffic Prediction — Machine Learning
June 1, 2025 – June 1, 2026
Developed a machine learning model for traffic prediction using multiple datasets. Conducted data preprocessing, feature engineering, and exploratory data analysis using Python.
Data Analytics Certification - Python, SQL, Excel, and Data Visualization
Unknown
June 1, 2026 – Present
Power BI Certification - Dashboard Development and Data Reporting
Unknown
June 1, 2026 – Present
SQL for Data Analysis - Data Querying and Data Management
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a focus on data analysis and machine learning, aligning with a data-driven culture. The diversity of projects (banking, sales, traffic prediction) indicates an ability to apply skills across different domains. However, without professional experience or more detailed project descriptions, it's challenging to fully assess cultural fit regarding collaboration, initiative, or adaptability in a corporate environment.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, team collaboration, time management, adaptability, and decision-making as soft skills. While these are crucial for a Data Analyst, there is no direct evidence from the provided data (e.g., work experience or detailed project narratives) to assess their operational fit or how these skills are applied in a professional setting. The projects are academic, limiting the assessment of real-world operational fit.