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Working with data, not buzzwords. Python, SQL, Apache Spark, GCP. Analytics → Data Engineering.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
@bakerhughes
Data Scientist
June 12, 2026 – Present
Bank-Loan-Analysis-Power-BI-Report
December 25, 2025 – Present
End-to-end Power BI dashboard to analyze bank loan performance, risk, and repayment trends using SQL and DAX.
View Projectsahayak-vaani-gup-shup
July 8, 2025 – July 10, 2025
sahayak-vaani-gup-shup — GitHub repository
View ProjectCredit-Card-Fraud-Detection-with-Data-Engineering-on-Google-Cloud
December 9, 2024 – December 29, 2024
Developed a real-time credit card fraud detection system using GCP, leveraging BigQuery ML, Dataflow, and Vertex AI for efficient fraud prediction and alerting. The project includes ETL pipelines, dashboards for insights, and automated notifications for proactive fraud management.
View ProjectGenQuery
October 27, 2024 – December 9, 2024
SQL Gen AI app, simplifying data access and manipulation in SQL databases through natural language commands and educational examples.
View ProjectGCP-Data-Engineering-Learning
October 10, 2024 – December 29, 2024
GCP-Data-Engineering-Learning — GitHub repository
View ProjectUber-Data-Analytics-Data-Engineering-with-GCP
September 10, 2024 – October 15, 2024
Data engineering project using Uber dataset, involving fact-dimension data modeling and pipeline development. Leveraged Python, Pandas, and GCP tools like BigQuery and Looker Studio for data transformation and visualization.
View ProjectChat-with-andy
December 17, 2023 – December 18, 2023
This repository contains code for project to Build Gen-AI chatbot using PaLM API.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and data engineering, aligning well with a 'Data Scientist' target role. The diversity of projects, from fraud detection to Gen AI apps and data analytics dashboards, indicates a broad interest in the field. However, the projects are all personal, and there is only one future-dated professional experience entry, which limits the assessment of collaborative work environments or long-term commitment to specific organizational cultures. The lack of diverse team projects or open-source contributions makes it challenging to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new technologies, particularly in the data and AI space. The focus on end-to-end project development suggests an ability to manage tasks from data ingestion to visualization. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, problem-solving under pressure, or communication clarity in a professional setting.