Help & Supportcareers@gravityer.com
Data Analyst with less than a year in data analysis, visualization, and machine learning.
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 data analysis, visualization, predictive analytics, and business insights generation. Skilled in Python, SQL, Power BI, Pandas, and data visualization for analyzing customer behavior, churn trends, and fraud patterns. Experienced in data cleaning, exploratory data analysis (EDA), dashboard development, and transforming raw data into actionable insights. Seeking opportunities in Data Analytics and Business Intelligence.
A. C. Patil College of Engineering, Mumbai University (MU)
B.E. · Information Technology
January 1, 2022 – May 1, 2026
K. J. Somaiya College of Science & Arts
HSC · Science
January 1, 2020 – May 1, 2022
R. P. Mangala Hindi High School
SSC
January 1, 2018 – March 1, 2020
Explainable Fraud Detection System
August 1, 2025 – October 1, 2025
Analyzed transaction data to identify fraud patterns and high-risk indicators. Performed data preprocessing, feature analysis, and model evaluation for fraud detection insights. Created interpretable reports using SHAP explainability for easier understanding of fraud factors. Built an interactive dashboard for fraud monitoring and prediction insights.
View ProjectCustomer Segmentation Prediction
July 1, 2025 – July 1, 2025
Analyzed customer behavior using Age, Income, and Spending Score for customer segmentation. Performed customer segmentation analysis to identify spending patterns and customer groups. Developed a Power BI dashboard for customer insights and segmentation visualization.
View ProjectTelecom Churn Prediction
January 1, 2025 – March 1, 2025
Analyzed telecom customer data to identify churn trends and customer behavior patterns. Performed EDA, data cleaning, preprocessing, and feature analysis using Python, Pandas, and NumPy. Built predictive analytics workflows to identify customers likely to discontinue telecom services. Created visual insights and applied SHAP analysis to identify key churn-driving factors. Developed a Streamlit dashboard for customer churn analysis and prediction.
View ProjectPython Full Course - Complete Beginner to Advanced
GeeksforGeeks
January 1, 2025 – Present
Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
Oracle
January 1, 2025 – Present
Oracle Cloud Infrastructure 2025 Certified Data Science Professional
Oracle
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in data analytics and machine learning, which aligns with a data-driven culture. The diversity of projects (telecom, retail, finance) shows adaptability. However, all projects are personal, and there is no professional experience, which limits the assessment of cultural fit in a team or corporate environment. The candidate is still pursuing a bachelor's degree, indicating an early career stage.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on data analysis tasks from data cleaning to dashboard development. The focus on explainable AI and visual insights suggests an understanding of communicating complex findings. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or broader operational fit.