Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Business Intelligence & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ambitious and detail-oriented Data Analyst fresher with a strong foundation in statistical analysis, data visualization, and business intelligence. Holds a B.E. from Indus University and is currently completing an industry-recognized Data Analytics & Data Science certification from ExcelR Solutions. Demonstrates hands-on expertise in the full analytics lifecycle from data extraction and ETL processing to dashboard development and insight delivery using SQL, Python, Power BI, and Advanced Excel. During a .NET internship at Webito Infotech, gained practical exposure to SQL Server databases, stored procedures, and API-based data workflows, complementing a strong data-first mindset. Proven ability to translate complex datasets into clear, actionable narratives for both technical and non-technical stakeholders.
Indus University
Bachelor of Engineering (B.E.) · Computer Networks
August 1, 2020 – June 30, 2024
Webito Infotech
.NET Developer Intern
February 1, 2025 – May 1, 2025
India
Aditya Birla Group
Business Intern
January 1, 2023 – January 1, 2023
India
Sales Performance Analytics Dashboard
January 1, 2025 – March 1, 2025
Built an end-to-end BI dashboard to monitor regional sales KPIs for a retail business scenario. Architected a star-schema data model connecting 4 tables (Sales, Products, Customers, Date) in Power BI to support multi-dimensional analysis. Wrote 15+ SQL queries and stored procedures to extract, aggregate, and clean 50,000+ transactional records from SQL Server, reducing data prep time by 40%. Developed 20+ DAX measures including YoY growth %, rolling 3-month averages, and product contribution margins for executive-level reporting. Designed interactive drill-through dashboards with region-level filters, enabling stakeholders to identify the top 3 underperforming territories contributing to 25% revenue gap. Outcome: Dashboard reduced manual monthly reporting effort from 8 hours to under 1 hour.
Customer Churn Prediction & Analysis
October 1, 2024 – December 1, 2024
Identified churn patterns in a telecom dataset to help reduce customer attrition. Ingested and cleaned a 10,000-row telecom dataset using Pandas — handled 12% missing values, removed duplicates, and standardized categorical variables. Conducted exploratory data analysis (EDA) revealing that customers on month-to-month contracts had 3x higher churn rate vs annual subscribers. Created 12 visualizations (heatmaps, box plots, count plots) using Matplotlib and Seaborn to communicate key churn drivers to non-technical stakeholders. Applied correlation analysis and feature importance ranking to identify that contract type, monthly charges, and tenure were the top 3 churn predictors. Outcome: Insights fed into a retention strategy recommendation deck targeting high-risk segments with 40%+ churn probability.
HR Attrition Analytics Report
August 1, 2024 – September 1, 2024
Analyzed employee attrition trends to support HR decision-making. Processed a 3,000+ employee HR dataset using SQL aggregations and Excel pivot tables to segment attrition by department, tenure band, and job role. Discovered that overtime + low job-satisfaction scores together explained 65% of total attrition — presented findings in a structured PowerPoint report. Built an Excel-based dynamic dashboard with slicers and conditional formatting enabling HR managers to interactively filter attrition by age group and department.
E-Commerce Sales Data Cleaning & ETL Pipeline
June 1, 2024 – July 1, 2024
Built a reusable ETL pipeline to standardize raw e-commerce CSV exports. Designed a Python ETL script using Pandas to ingest raw CSV files, perform data type validation, remove duplicates, and flag anomalies — processing 80,000+ records in under 2 minutes. Loaded cleaned data into a structured SQL Server database with referential integrity constraints, enabling downstream BI reporting. Reduced data quality issues by 85% compared to manual Excel-based processing, improving reporting accuracy significantly.
Data Analytics & Data Science Professional Program
ExcelR Solutions
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong initiative and a proactive approach to learning and applying data analytics skills. The diversity of projects (HR, Sales, E-commerce, Customer Churn) indicates adaptability and a broad interest in different business domains. The internship experience, particularly at Aditya Birla Group, suggests exposure to corporate environments and cross-functional team dynamics, which aligns with a collaborative work culture. The ongoing certification further demonstrates a commitment to continuous learning and professional development.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills, attention to detail, and an ability to communicate data-driven insights, which are crucial for a Data Analyst role. Their project descriptions highlight stakeholder communication and team collaboration. The .NET Developer Intern role also indicates exposure to Agile methodologies and version control, suggesting an understanding of operational workflows.