Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Data Cleaning, Visualization & Business Analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Skilled in data management and dashboard development with strong expertise in data cleaning, data visualization, and business analysis. Experienced in web scraping, relational database design, and KPI reporting. Skilled in transforming raw data into actionable insights to support business decision-making and operational efficiency.
Aurora PG College, Osmania university
Master of Computer Applications
August 1, 2022 – June 30, 2024
Banking Data Analysis Dashboard
June 18, 2026 – Present
Generated an interactive Power BI dashboard to analyze banking transactions, customer behavior, and financial performance. Refined and restructured raw sales data with Power Query, fixing inconsistencies and errors, leading to a 20% improvement in the accuracy of inventory forecasts. Architected intricate DAX measures for comprehensive trend analysis, total balance calculations, and detailed customer segmentation, enabling a 25% reduction in report generation time for stakeholders. Created visual reports using charts, KPIs, slicers, drill-through, and tooltips for enhanced user insights. Optimized decision-making by automating reporting and enabling real-time monitoring of financial indicators.
View ProjectGrocery Store Management System
June 18, 2026 – Present
Engineered schema featuring primary and foreign keys to establish integrity constraints; led to a 7% improvement in data accuracy and database uptime of 99.9% for business operations. Constructed schema with primary keys, foreign keys, and integrity constraints to ensure consistent and efficient data storage. Performed in-depth data analysis utilizing SQL to identify and resolve 12 data quality issues within the product database, which reduced reporting errors by 10%. Executed analysis to identify top customers, best-selling products, and sales trends, supporting data-driven decisions. Evaluated sales data and identified slow-moving inventory items, implementing a clearance strategy that freed up warehouse space and recouped 15% of the initial investment.
Fertilizer Market Analysis in India
June 1, 2025 – June 1, 2026
Scraped fertilizer product data from Flipkart using Python, BeautifulSoup, and Requests; gathered pricing, ratings, and detailed specifications for over 1500 products each week, improving data acquisition efficiency. Enhanced disparate data formats within a database of 1500+ fertilizer products weekly using Python, enabling seamless integration and improving data processing speeds by 20%. Deployed Exploratory Data Analysis (EDA) on to compare organic vs. inorganic fertilizers and identify pricing, rating, and demand trends. Implemented five customer segmentation analyses utilizing Seaborn and Matplotlib, revealing vital customer preferences and trends that contributed to a 15% increase in targeted marketing efficiency. Sculpted a comprehensive analysis of fertilizer trends across 1000 rows and 9 columns, influencing a top 3 management decision regarding optimal product positioning strategy.
Data Science certification program
Innomatics Research Labs
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like banking, retail, and agriculture, showcasing adaptability and a broad interest in applying data analysis to different business problems. The skills acquired (Python, SQL, Power BI, web scraping, EDA, visualization) are highly relevant to a Data Analyst role, indicating strong alignment with the target position. The pursuit of a Data Science certification further demonstrates a commitment to continuous learning and skill development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-oriented approach, focusing on quantifiable improvements (e.g., 20% improvement in accuracy, 25% reduction in report generation time). This suggests a good operational fit for roles requiring impact measurement. The academic projects demonstrate initiative and problem-solving skills. However, without professional experience or psychometric test results, it's difficult to assess collaboration, stress handling, or communication in a team setting.