Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Financial Data Analytics & Credit Risk Modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Vandan Thakar is an aspiring Data Analyst with 5 months of internship experience specializing in financial data analytics, credit risk modeling, and customer lifetime value prediction. Proficient in Python, SQL, and BI tools like Power BI and Tableau, Vandan has a solid foundation in data extraction, cleaning, transformation, and visualization. His projects highlight expertise in building predictive models, implementing anomaly detection systems, and developing interactive dashboards to drive data-driven insights.
SVKM's Dwarkadas J. Sanghvi College of Engineering
B.Tech · Computer Engineering
August 1, 2022 – June 30, 2026
Rustomjee Int. School & Junior College
HSC · Science
June 1, 2020 – May 31, 2022
M. K. V. Valia International Vidyalaya
CBSE 10th
June 1, 2010 – May 31, 2020
Quantissential
Data Analyst Intern
November 1, 2025 – March 1, 2026
Mumbai, Maharashtra, India
Credit Risk Modelling System
June 1, 2026 – Present
Built Probability of Default (PD) models using logistic regression and survival analysis. Engineered credit-risk features and implemented LGD/EAD estimation frameworks. Created Power BI dashboards visualizing portfolio risk and exposure patterns.
AI-based Customer Lifetime Value Prediction
June 1, 2026 – Present
Predicted long-term CLTV using RFM features, regression, and deep-learning models. Performed customer segmentation using K-Means to identify high-value cohorts. Built dashboards showing retention patterns and revenue projections.
AI-powered Anomaly Detection System
June 1, 2026 – Present
Implemented Isolation Forest and Autoencoder models for anomaly detection. Processed large datasets using SQL pipelines and behavioral feature extraction. Generated alerts & visual insights for early detection of suspicious activities.
IBM Intermediate Course: Data Analysis with Python
IBM
June 1, 2026 – Present
PowerBI For Beginners
Unknown
June 1, 2026 – Present
Data Visualisation: Empowering Business with Effective Insights (Forage)
Tata Group
June 1, 2025 – Present
GenAI Powered Data Analytics (Forage)
Tata Group
June 1, 2025 – Present
Data Analytics Job Simulation (Forage)
Deloitte Australia
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive learning approach and a genuine interest in applying data analytics to various domains (finance, customer behavior, security). The certifications further highlight a commitment to continuous learning. The diversity of projects and the internship experience suggest an adaptable individual who can contribute to different analytical challenges, aligning well with a dynamic work culture. The target role of Data Analyst is well-aligned with the candidate's demonstrated skills and project focus.
Soft Skills & Operational Fit
The candidate lists strong soft skills such as Analytical Thinking, Problem Solving, Attention to Detail, Business Acumen, Communication, Critical Thinking, Collaboration, and Adaptability. These are highly valuable for a Data Analyst role, indicating a good operational fit for data-driven environments and team collaboration. The project descriptions also reflect an ability to translate business problems into analytical solutions.