Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in SQL, Power BI, and Advanced Excel
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, Power BI, Advanced Excel, and Python for data extraction, analysis, visualization, and reporting. Experienced in transforming raw data into actionable insights through data cleaning, exploratory data analysis (EDA), and interactive dashboard development. Proficient in writing SQL queries, developing Power BI dashboards using DAX, and analyzing business data to identify trends, anomalies, and key performance indicators. Experienced in managing incidents and resolving application-related issues within enterprise quality applications, performing root cause analysis, and ensuring timely issue resolution.
Christu Jyothi Institute of Technology and Science
B.Tech · Computer Science Engineering
August 1, 2020 – June 30, 2024
ABV Junior College
Intermediate
June 1, 2018 – May 31, 2020
Ekashila Public School
SSC
N/A – May 31, 2018
Pivot Path Pvt. Ltd.
Associate - Enterprise Quality Applications
June 1, 2026 – Present
Bengaluru, Karnataka, India
Arcolab Pvt. Ltd.
Associate - Enterprise Quality Applications
April 1, 2025 – May 31, 2026
Bengaluru, Karnataka, India
KultureHire
Data Analyst Intern
November 1, 2024 – January 31, 2025
India
Blinkit Sales Analysis Dashboard
June 23, 2026 – Present
Collected, cleaned, and transformed Blinkit sales data using Power Query and Excel to ensure data accuracy and consistency for analysis. Performed exploratory data analysis (EDA) to identify sales trends, customer purchasing behavior, and product category performance. Developed DAX measures and calculated KPIs such as Total Sales, Average Sales, Number of Orders, and Customer Ratings. Designed and built an interactive Power BI dashboard with KPI cards, charts, slicers, and filters to enable dynamic business performance analysis. Generated actionable insights on outlet performance, product categories, and sales trends to support data-driven decision-making. Tech Stack: Power BI, DAX, Power Query, Excel, Data Analysis
Attendance Management System Using Face Recognition
June 23, 2026 – Present
Developed an automated attendance management system using Python and OpenCV to recognize faces and record attendance in real time. Implemented face detection and recognition techniques to accurately identify individuals and reduce manual attendance tracking. Applied image preprocessing methods such as grayscale conversion and image enhancement using NumPy to improve recognition accuracy. Automated attendance logging by capturing timestamps and storing records in Excel for easy tracking and reporting. Improved attendance management efficiency by reducing human errors, preventing proxy attendance, and enabling quick report generation. Tech Stack: Python, OpenCV, NumPy, Excel
Cultural Fit Analysis
The candidate's project diversity, including a sales analysis dashboard and an attendance system using face recognition, shows a broad interest in applying data analysis skills to different domains. Their professional experience as an 'Associate - Enterprise Quality Applications' aligns well with roles requiring data analysis for operational efficiency and quality improvement. The consistent use of SQL, Power BI, and Excel across projects and professional roles indicates a focused career path towards data analysis. The blend of academic projects and professional experience suggests a candidate who is eager to learn and apply skills in practical settings, fitting into a culture that values continuous improvement and hands-on problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by their experience in root cause analysis and identifying data inconsistencies. Their collaboration with cross-functional teams indicates good teamwork and communication. The ability to manage incident lifecycles suggests an organized and process-oriented approach, which is beneficial for operational roles. The project descriptions highlight a proactive approach to learning and applying new technologies.