Data Analyst with 2+ years in SQL & Power BI
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Assessing your cultural and operational fit
Results-driven Data Analyst with 2+ years of experience in SQL, Power BI, Python, and ETL pipelines across multiple industries. Adept at transforming raw datasets into actionable business intelligence that empowers stakeholders to make faster, data-driven decisions. Expanding expertise in machine learning, predictive modeling, and advanced statistical analysis.
Sagar Institute of Science, Technology and Engineering
B.Tech · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Softtronix Software Services Pvt. Ltd.
Data Analyst Trainee
May 1, 2025 – March 1, 2026
Nagpur, Maharashtra, India
iifetech Pvt Ltd
Data Analyst
April 1, 2025 – Present
Bhopal, Madhya Pradesh, India
Cognifyz Technologies
Data Science Intern
December 1, 2024 – January 1, 2025
India
Pacific Cyber Technology Pvt. Ltd.
Industrial Engineer
March 1, 2024 – December 1, 2024
Silvassa, Dadra and Nagar Haveli, India
AI Agent Performance Analysis
June 1, 2026 – Present
Investigated 5,000+ AI interaction logs using Pandas & SQL to pinpoint response-time bottlenecks and accuracy gaps across agent workflows. Streamlined KPI reporting by automating the data pipeline, reducing manual effort by 70% and improving model response accuracy by 20%.
Fraud Detection System
June 1, 2026 – Present
Queried and modelled 140,000+ transaction records across 7 datasets using 20+ advanced SQL queries (CTES, Window Functions) to surface fraudulent patterns. Architected a 4-page interactive Power BI dashboard with drill-through filters, KPI cards, and DAX measures for real-time fraud monitoring.
Introduction to Power BI
DataFlair
June 1, 2026 – Present
Data Analytics Essentials
Cisco
June 1, 2026 – Present
Python for Data Science
IBM SkillsBuild
June 1, 2026 – Present
SQL and Relational Databases 101
IBM SkillsBuild
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI agent performance analysis and fraud detection, along with experience in different company types (internships, full-time roles), suggests adaptability and a broad interest in data-related challenges. The listed certifications further indicate a commitment to continuous learning and skill development, which aligns well with a growth-oriented culture. The experience in both data analysis and data science roles shows versatility.
Soft Skills & Operational Fit
The candidate's project and work experience descriptions indicate a results-driven individual focused on improving efficiency and accuracy. The ability to streamline processes and automate tasks suggests a proactive approach to operational challenges. The deployment of dashboards for managers implies good communication and stakeholder management skills, enabling independent access to data.