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Data Analyst with 1+ years in data analytics & visualization
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 1 year of experience in data analytics, reporting, and automation. Skilled in SQL, Python, Power BI, ETL, and data visualization for building dashboards and delivering business insights. Experienced in improving reporting efficiency and supporting data-driven decisions.
Marathwada Institute of Technology, Aurangabad
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Baker Hughes
Data Analyst Intern
February 1, 2025 – November 1, 2025
India
NorthStar Impact Solutions
Tech & Research Intern
July 1, 2024 – September 1, 2024
India
Credit Card Fraud Detection with Data Engineering on Google Cloud
June 1, 2026 – Present
• Processed 300k+ transactions, trained XGBoost with 97% precision in BigQuery ML, deployed on Vertex AI. • Built pipeline with Dataflow using Pub/Sub for ingestion, Firestore & BigQuery for storage, achieved seamless scalability. Designed Looker Dashboard, improved fraud monitoring and decision-making efficiency by 20%. • Reduced fraud response time by 30%, triggering Email alerts via SMTP, Cloud Function & Secret Manager.
View ProjectUber Data Analytics Pipeline on Google Cloud
June 1, 2026 – Present
• Built Uber analytics pipeline on TLC dataset (100k+ records), designed fact-dimension model, implemented Mage pipeline using Pandas for ingestion & transformation, deployed on GCP (GCS, Compute Engine, BigQuery). • Analyzed data in BigQuery, Created Looker Studio dashboard for insights, improved query performance by 25%.
View ProjectBank Loan Analysis Power BI Report
June 1, 2026 – Present
• Analyzed 38K+ loan records using SQL Server & Power BI with data model to support MTD/MOM analysis. • Built 3-page Power BI report with 20+ DAX measures for loan status, geography & borrower risk segments. • Delivered a management-ready BI report enabling portfolio health, credit risk, and strategic lending insights.
View ProjectAssociate Cloud Engineer
Google Cloud
June 1, 2026 – Present
AZ-900 (Azure Fundamentals)
Microsoft Azure
June 1, 2026 – Present
AI-900 (AI Fundamentals)
Microsoft Azure
June 1, 2026 – Present
DP-900 (Data Fundamentals)
Microsoft Azure
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from credit card fraud detection to Uber data analytics and bank loan analysis, showcases adaptability and a broad interest in different data domains. Their involvement in hackathons and scholarships indicates a proactive and competitive spirit. The experience with both personal projects and internships at established companies like Baker Hughes and NorthStar Impact Solutions suggests a blend of independent initiative and structured team collaboration, which aligns well with a dynamic work environment. The candidate's focus on efficiency gains and cost reduction in their projects also points to a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through various automation and optimization projects. Their collaboration with product owners and stakeholders, along with preparing documentation and presentations, indicates good communication and teamwork abilities. The ability to resolve support queries and provide client POCs suggests a client-focused and adaptable operational fit. The candidate's proactive approach to learning and certification (Google Cloud, Azure) also highlights a strong work ethic and commitment to continuous improvement.