Help & Supportcareers@gravityer.com
Data Analyst with less than a year in SQL, Power BI, and Python for data-driven insights.
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 writing and optimizing SQL queries (joins, subqueries, CTEs, window functions) to extract and transform data from relational databases. Proficient in Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) for data cleaning, exploratory data analysis, and basic machine learning. Skilled in building interactive Power BI dashboards with DAX measures and KPIs, and in Advanced Excel for reporting and automation. Strong analytical, problem-solving, and stakeholder communication skills with a track record of delivering accurate, decision-ready insights.
Sanketika Vidya Parishad Engineering College
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
AI Resume Analyzer
June 26, 2026 – Present
Built an NLP-based matching system in Python using TF-IDF vectorization and cosine similarity to score resume-to-job-description fit across 500+ resume samples. Used Pandas and NumPy for data cleaning and preprocessing, including tokenization, stop-word removal, and feature extraction. Evaluated model performance with precision, recall, and accuracy metrics, iteratively refining the scoring logic for reliability. Automated resume screening and ranking end-to-end, reducing manual review effort and accelerating candidate shortlisting.
Sales Insights Data Analysis Dashboard
June 26, 2026 – Present
Wrote and optimized complex SQL queries using joins, subqueries, CTEs, and window functions to extract and transform 150K+ transactional records from MySQL for analysis. Performed exploratory data analysis to identify revenue, profit margin, and customer performance trends, translating findings into KPI dashboards for business stakeholders. Built an interactive Power BI dashboard with DAX measures to monitor sales performance and surface actionable insights for decision-making. Designed schema-level data models and validated data accuracy across reporting workflows, ensuring reliable, decision-ready outputs.
Retail Store Sales Analysis Dashboard
June 26, 2026 – Present
Analyzed 150+ retail transactions across 5 interconnected datasets to uncover sales trends and customer purchasing patterns. Built an interactive dashboard with 6 Pivot Charts and 6 Slicers for dynamic store-,category-,and product-wise performance analysis. Automated data transformation using XLOOKUP, IF functions, and calculated fields, improving reporting efficiency and data accuracy. Tracked key KPIs including Total Sales, Quantity Sold, and Average Selling Price to support data-driven business decisions.
Cultural Fit Analysis
The candidate's projects demonstrate a good breadth of skills relevant to a Data Analyst role, including SQL, Python, Power BI, Excel, and NLP. The projects are diverse, covering sales insights, AI-driven resume analysis, and retail sales, indicating adaptability and a willingness to tackle different types of data challenges. The focus on delivering actionable insights and automating processes suggests a results-oriented approach, which generally fits well within data-driven organizational cultures. The candidate is currently pursuing a B.Tech in Computer Science, which provides a strong foundational background.
Soft Skills & Operational Fit
The candidate highlights soft skills such as Stakeholder Management, Cross-functional Collaboration, Analytical Thinking, Problem-Solving, and Attention to Detail. These are crucial for a Data Analyst role, indicating a potential for effective teamwork and communication with business stakeholders. The project descriptions also reflect an ability to translate technical findings into business-ready insights, which aligns well with operational needs.