Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Data Analysis & Backend Solutions.
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 and Python Developer with hands-on experience in data analysis, dashboard creation, SQL, Python, Flask, REST API, docker. Adept at extracting insights from data, automating processes, and developing scalable backend solutions. Eager to apply analytical and technical skills to solve real-world business challenges and contribute to organizational success.
Charotar University of Science and Technology (CHARUSAT)
Bachelor of Technology · Computer Engineering
N/A – Present
Shree Swaminarayan Gurukul
Higher Secondary School
N/A – March 1, 2023
Orpol Infotech
Frontend developer (React.js) and Rest API
May 1, 2025 – June 1, 2025
Surat, Gujarat, India
Sales Analytics & Profit Optimization Dashboard
June 21, 2026 – Present
Processed, cleaned, and transformed raw sales data using Python (Pandas, NumPy) and Microsoft Excel to ensure data quality and consistency. Conducted Exploratory Data Analysis (EDA) using Python to uncover sales trends, profit drivers, customer behavior, and regional performance patterns. Designed and developed an interactive Power BI dashboard featuring dynamic filters, drill-down analysis, and real-time KPI tracking for data-driven decision-making.
Advanced SQL-Based Fraud Detection & Transaction Monitoring System
June 21, 2026 – Present
Processed and analyzed 10K+ transaction records to identify fraud indicators and high-risk customer activities. Implemented advanced SQL techniques including CTEs, Window Functions, CASE statements, and Aggregations for anomaly detection. Built a rule-based risk assessment framework to classify customers based on transaction behavior and spending patterns. Generated actionable fraud-monitoring reports and optimized query performance for faster analysis of large datasets.
Customer Churn Prediction System
June 21, 2026 – Present
Performed data preprocessing, feature engineering, and EDA on customer datasets to identify churn patterns. Developed and trained Logistic Regression, Decision Tree, and Random Forest models for customer churn prediction Compared model performance using Accuracy, Precision, Recall, and F1-Score to select the most effective model.
Exploratory Data Analysis in Machine Learning
IBM
June 19, 2026 – Present
Foundation of Data
June 19, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a willingness to learn diverse data analysis techniques. The brief frontend development experience, while not directly related to data analysis, shows adaptability. The certifications further indicate a self-driven individual. However, the limited professional experience makes it difficult to fully assess cultural fit in a corporate data team setting.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work through data challenges and deliver actionable insights. The academic nature of projects implies a structured approach to problem-solving. However, the lack of professional experience in a data analyst role means operational fit in a fast-paced business environment is unproven.