Data Analyst with less than a year in ETL Pipelines & Business Intelligence
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Assessing your cultural and operational fit
Data Analyst aspiring Data Engineer with expertise in building reusable data science components and ETL pipelines. Proficient in Python (OOPS), SQL, and Power BI, with a focus on translating complex healthcare and financial datasets into modular, testable code and actionable business insights.
Bajaj Institute of Technology
Bachelor of Engineering · Computer Engineering
August 1, 2021 – August 1, 2025
Gandhigram College
HSC · Science (PCM)
June 1, 2019 – April 1, 2020
Alphonsa Sr. Sec. School
SSC
June 1, 2017 – March 1, 2018
AI Variant
Data Analyst Intern
November 1, 2025 – February 1, 2026
India
MODERN DATA WAREHOUSE & ETL PIPELINE
January 1, 2026 – June 1, 2026
Architected a three-tier Data Warehouse (Bronze, Silver, Gold) using Medallion Architecture and SQL DDL to ensure 100% schema consistency for end-to-end data lifecycles. Built reusable Stored Procedures and automated ETL scripts using OOPS concepts in Python to develop modular, testable Data Science product components. Tools: SQL, Python, Medallion Architecture, Stored Procedures, Git, DrawIO.
View ProjectTRAFFIC CONGESTION AND ANOMALY ANALYSIS DETECTION
April 1, 2025 – June 1, 2026
Executed end-to-end ETL processes using Python (Pandas) and Power Query, including advanced datetime handling, missing value treatment, and feature engineering for structured analysis. Implemented anomaly detection techniques to identify irregular traffic patterns and developed Power BI dashboards with geospatial visualizations to analyze congestion trends across time and locations. Tools: Python (Pandas, NumPy), Power Query, Power BI, Excel/CSV, and Jupyter Notebook.
NASSCOM Certified Data Analyst (Gold Level)
NASSCOM
June 1, 2026 – Present
AWS cloud Fundamentals
iStudio
June 1, 2026 – Present
Data Analyst
ExcelR, Hyderabad
November 1, 2025 – Present
Data Analyst
Paarsh Infotech PVT LTD
November 1, 2025 – Present
Cultural Fit Analysis
The candidate demonstrates a proactive learning attitude through multiple certifications (NASSCOM, AWS Cloud Fundamentals) and training programs. The personal projects showcase initiative and a genuine interest in data analysis, covering diverse areas like data warehousing and traffic anomaly detection. The internship at AI Variant aligns well with a data-driven environment. The combination of academic background in Computer Engineering and practical project experience suggests a strong foundation for analytical roles. The breadth of tools and techniques used (SQL, Python, Power BI, Tableau, Medallion Architecture, Anomaly Detection) indicates adaptability and a willingness to explore different solutions, which are positive indicators for cultural fit in a dynamic team.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to architect solutions (Modern Data Warehouse) and execute end-to-end processes (Traffic Congestion Analysis), suggesting strong problem-solving and project management skills. The focus on 'modular, testable code' and 'reusable Stored Procedures' indicates an understanding of best practices in software development and maintainability. The internship experience in automating ETL pipelines and engineering dashboards for stakeholders points to a results-oriented approach and an ability to translate technical work into business value. However, without direct behavioral assessment, specific soft skills like teamwork, leadership, or adaptability cannot be fully evaluated.