Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Python, SQL & 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
Aspiring Data Analyst with hands-on experience in Python, SQL, Power BI, Excel, Machine Learning and AI skilled in data cleaning, analysis, visualization and model building. Experienced in working on real-world datasets to extract insights, identify trends, and support data-driven decision-making. Strong foundation in statistics and data manipulation with a focus on solving business problems through analytics.
Dr. D.Y. Patil Arts, Commerce and Science College
Bachelor of Computer Applications (BCA)
N/A – Present
Seven Mentor Institute
Data Science Course
N/A – Present
Hospital Emergency Room Analysis
June 18, 2026 – Present
Developed dashboard to analyze patient inflow, waiting time, and treatment efficiency. Monitored key performance metrics to evaluate hospital operations. Identified bottlenecks in patient handling and suggested improvements.
Road Accident Analysis
June 18, 2026 – Present
Analyzed large datasets of road accidents to identify patterns and high-risk factors. Built interactive Power BI dashboards to visualize accident trends by time, location, & cause. Identified peak accident hours and major contributing factors. Provided actionable insights to improve road safety and reduce accident frequency.
Restaurant Sales Analysis
June 18, 2026 – Present
Designed and implemented SQL queries to analyze sales and customer trends. Used JOINS, GROUP BY, and aggregations to extract meaningful insights. Identified top-selling items and revenue patterns. Helped simulate data-driven decision-making for business growth.
Expense Tracker
June 18, 2026 – Present
Developed a Python-based application to track and categorize daily expenses. Implemented data analysis to identify spending patterns. Enabled users to manage budgets effectively through insights. Used data visualization to present expense summaries.
Spam Detection System
June 18, 2026 – Present
Built a spam detection model using NLP techniques to classify messages as spam or ham. Preprocessed text data using tokenization, stopword removal, and Count vectorizer. Trained models like Naive Bayes and Logistic Regression for classification. Achieved high accuracy and evaluated performance using confusion matrix and F1-score.
Student Performance Prediction
June 18, 2026 – Present
Developed a machine learning model to predict students' math scores based on study habits. Performed data cleaning, feature engineering, and exploratory data analysis (EDA). Applied regression models such as Linear Regression and Decision Trees. Evaluated model performance using R² score and Mean Squared Error.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of skills relevant to a Data Analyst role, covering SQL, Python, Machine Learning, and Power BI. The projects are diverse, ranging from sales analysis to healthcare and road safety, indicating an ability to apply data analysis across different domains. This aligns well with a role that requires versatility and a problem-solving mindset. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on problem-solving through analytics and support data-driven decision-making. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.