Help & Supportcareers@gravityer.com
Data Analyst with less than a year in SQL, Python, 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
Data Analyst skilled in SQL, Power BI, Python, and Excel. Experienced in data cleaning, transformation, modelling, and visualisation to generate actionable business insights. Strong understanding of data analytics, reporting, and performance dashboards to support strategic decision-making.
Bharath University, Chennai
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Heart Disease Prediction Using Machine Learning Algorithms
January 1, 2021 – December 31, 2025
Processed and analyzed over 3,000+ medical records using Pandas and NumPy for data cleaning and feature engineering. Implemented Logistic Regression, Decision Tree, and Random Forest algorithms to predict heart disease, achieving 87% accuracy. Designed data visualizations in Matplotlib and Seaborn to identify key patient risk factors. Collaborated with a 4-member team, presenting results that improved interpretability by 25% through visualization. Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn
Encryption key Maker
January 1, 2021 – December 31, 2025
Implemented Python-based encryption key generator using 'secrets' and ‘random' libraries, producing 150+ unique keys and exceeding internal security requirements for randomness and complexity within a three-month project. Tools: Python, Random Library, Jupyter Notebook
View ProjectChocolate Factory 2-Year Sales Shipments Dashboard
January 1, 2021 – December 31, 2025
Analyzed 25K+ shipment records (2 years) to build an interactive Power BI dashboard with KPIs like 48.6M revenue and 56% profit margin. Identified top 6 products and top-performing regions, contributing over 68% of total sales. Applied Power Query and DAX for data cleaning, transformation, and dynamic KPI calculation. Tools: Power BI, Power Query, DAX, Data Modeling
View ProjectGenAI-Powered Data Analytics Job Simulation
Tata Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analytics skills across different domains (healthcare, sales, security). The academic nature of all projects and lack of professional experience suggest a strong drive for skill acquisition. The 'GenAI-Powered Data Analytics Job Simulation' indicates an interest in emerging technologies and continuous learning, which aligns well with a dynamic work environment. The diversity of tools and techniques used across projects (Python, Power BI, MySQL, ML algorithms) shows adaptability and a broad interest in the data analytics field. However, the absence of real-world work experience makes it difficult to fully assess cultural fit in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate in a team setting, as evidenced by the 'Heart Disease Prediction' project. The project descriptions indicate a results-oriented approach, focusing on accuracy and interpretability. The academic background in Computer Science and Engineering suggests a foundational understanding of problem-solving and analytical thinking. However, without specific assessment data on communication, logical reasoning, or work attitude, a comprehensive evaluation of soft skills and operational fit is limited.