Help & Supportcareers@gravityer.com
Data Analyst 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
Detail-driven Data Analyst fresher with strong technical skills in data modeling, statistical analysis, and automated ETL pipelines. Proficient in Python, SQL, Power BI, and Advanced Excel, with hands-on experience executing data cleaning, exploratory data analysis (EDA), and interactive KPI reporting. Skilled at transforming raw, disjointed business metrics into actionable insights to optimize operational workflows and data governance.
Meerut Institute of Engineering and Technology (MIET)
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
D.N. Inter College, Meerut
B.Sc. in Computer Science · Computer Science
August 1, 2021 – June 30, 2024
Customer Behavior Analysis
February 1, 2026 – March 1, 2026
Executed data wrangling and validation on 10,000+ rows of unstructured retail records using Python (Pandas), reducing data anomalies and inconsistencies by 15% prior to database ingestion. Formulated advanced SQL queries utilizing multi-table JOINS, subqueries, and window functions to calculate critical business metrics, including total revenue trends and customer lifetime value (CLV). Designed an interactive Power BI dashboard with cross-filtering, dynamic slicers, and core business metrics to uncover purchase patterns and deliver actionable insights to stakeholders.
Mobile Sales Analysis Dashboard
November 1, 2025 – December 1, 2025
Developed an end-to-end Power BI application to monitor retail sales performance, regional revenue metrics, and high-priority product KPIs. Engineered a robust star-schema data model and authored 15+ complex DAX formulas for calculated columns and metrics, increasing report rendering speeds and drill-down capability. Implemented conditional formatting and dynamic visual hierarchies to enable non-technical management teams to isolate regional performance bottlenecks instantly.
Online Book Store Database System
March 1, 2025 – April 1, 2025
Designed and implemented a normalized relational database schema from scratch to efficiently catalog transactions, customer profiles, and book inventories. Optimized query performance by establishing structural indexing and restructuring slow-running aggregate subqueries, accelerating reporting data extraction speeds. Analyzed historical ledger logs using SQL to identify product turnover cycles, translating raw transactional database records into meaningful supply chain recommendations.
Tata GenAI Data Analytics Job Simulation - Forage
Forage
August 1, 2025 – Present
Core Python Programmer Certification
Unknown
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data analysis across different domains (retail, e-commerce). The certifications, especially the 'Tata GenAI Data Analytics Job Simulation', indicate a proactive approach to learning and aligning with industry trends. However, the lack of diverse project types beyond academic simulations and the absence of professional experience limit the assessment of cultural fit in a real-world corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a detail-oriented approach and an ability to translate technical work into business value. The focus on reducing data anomalies, increasing report rendering speeds, and enabling non-technical teams suggests a practical, problem-solving mindset. However, without direct work experience, it's difficult to assess operational fit in a team environment or under pressure.