Help & Supportcareers@gravityer.com
Emerging Data Scientist | Power BI | Python | SQL | Building analytics, machine learning, and decision intelligence systems from data ingestion to deployment
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
mexico-housing-analysis
June 7, 2026 – Present
Completed as part of WorldQuant University's Data Science Lab Programme DS 01 Hands-on Data Science in the Mexican Real Estate Market . Performed exploratory data analysis on 21,000+ Mexican real estate listings using Pandas, data visualization, and correlation analysis to assess how property size and location influence housing prices.
View Projectolist-ecommerce-decision-intelligence-platform
June 6, 2026 – Present
End-to-end E-commerce Decision Intelligence Platform featuring PostgreSQL Medallion Architecture, Kimball dimensional modeling, Power BI analytics, predictive machine learning, and a Dockerized FastAPI service for automated business recommendations and interventions.
View Projectbanking-credit-risk-modeling-scorecard-development
February 17, 2026 – Present
Completed as part of the 365 Data Science Credit Risk Modeling in Python Udemy course. Developed an end-to-end credit risk modeling pipeline for consumer lending, covering data preprocessing, feature engineering, Probability of Default , Loss Given Default , Exposure at Default , scorecard development, model validation, population stability
View Projectadventure_works
June 9, 2025 – June 9, 2025
Sales performance dashboard built in Power BI using AdventureWorks data
View Projectpwc-power-bi-job-simulation
March 6, 2025 – March 6, 2025
Repository showcasing my completion of PwC Switzerland's Power BI Job Simulation on Forage.
View ProjectPower_BI_project1
February 12, 2025 – February 16, 2025
This repository contains my first Power BI project on Apocalypse Food Prep datasets courtesy of Alex the Analyst (Power BI youtube channel)
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and practical application through personal projects and online courses. The projects are diverse within the data science domain, indicating a broad interest. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment. The experience level is 0, which suggests this candidate is entry-level, not senior, for a 'Data Scientist' role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new skills through self-directed projects and online courses. However, without specific psychometric test results or interview data, it is difficult to assess soft skills like teamwork, communication, or stress handling.