Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Power BI, SQL & Python
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 analytical Data Analyst skilled in Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, Excel, and Power BI. Experienced in data collection, data cleaning, preprocessing, exploratory data analysis (EDA), KPI monitoring, dashboard development, and delivering actionable, data-driven insights to support business decision-making.
B.S.Abdur Rahman Crescent Institute of Science and Technology
M.Tech · Artificial Intelligence and Data Science
August 1, 2023 – June 30, 2025
Panimalar Engineering College
B.E · Electronics and Communication Engineering
August 1, 2019 – June 30, 2023
Food Delivery Performance & Operations Analytics (Power BI)
November 1, 2025 – December 31, 2025
Collected, cleaned, and preprocessed 100K+ records using Power Query; designed a star schema data model and built interactive Power BI dashboards to monitor KPIs, SLA breaches, and delivery delays. Developed 15+ DAX measures and Time Intelligence functions to analyze revenue, cancellation rate, and on-time delivery trends, providing actionable insights and periodic reports for business decision-making.
DVD Rental Business Intelligence Analysis (SQL & Python)
September 1, 2025 – October 31, 2025
Wrote and optimized 20+ SQL queries using Joins, GROUP BY, Subqueries, and Window Functions to extract and analyze KPIs across 10K+ records, improving query execution time by 40%. Automated ETL data ingestion and preprocessing using Python (Pandas, NumPy, SQLAlchemy); created visualizations with Matplotlib and Seaborn to deliver data-driven recommendations to stakeholders.
Student Academic Data Analysis and Interactive Dashboard (Excel)
July 1, 2025 – August 31, 2025
Collected and cleaned 5,000+ student records; performed EDA and trend analysis tracking KPIs such as CGPA, Attendance Rate, and Placement Rate to identify patterns and support decision-making. Built an interactive Excel dashboard using Pivot Tables, VLOOKUP, Power Query, slicers, and charts; automated reporting with VBA macros, reducing manual effort by 50% and maintaining documentation standards.
Data Analytics
Besant Technologies
June 1, 2026 – Present
Machine Learning with Python
Cognitive Class
June 1, 2026 – Present
Data Analytics with Python
Nptel
June 1, 2026 – Present
Python fundamentals for beginners
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a good breadth of skills across different data analysis tools and methodologies (Power BI, SQL/Python, Excel). The academic background in AI and Data Science aligns well with a data-driven culture. The projects are diverse enough to show adaptability, but the lack of professional experience beyond academic/project work means cultural fit is primarily inferred from technical alignment and project descriptions.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a detail-oriented and analytical approach to problem-solving. The ability to deliver actionable insights and automate reporting suggests a focus on efficiency and business impact. However, without direct assessment data on communication, teamwork, or stress handling, a comprehensive evaluation of soft skills and operational fit is limited.