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Data Engineer with 1+ years in SQL, data validation, and ETL concepts
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data professional with experience in data validation, reconciliation, reporting, and SQL-based data analysis. Worked with HR systems including Workday and SAP HR Core to ensure data accuracy, consistency, and integrity across platforms. Skilled in SQL, data quality management, ETL concepts, and reporting processes. Seeking opportunities in Data Engineering, Data Analytics, and Business Intelligence domains.
SASTRA Deemed to be University
M.Sc. · Data Science
August 1, 2023 – June 30, 2025
STET Women's College
B.Sc. · Mathematics
August 1, 2020 – June 30, 2023
Document IT LLC
Data Engineer
August 1, 2025 – April 1, 2026
Thiruvarur, Tamil Nadu, India
Document IT LLC
SQL Trainee Intern
February 1, 2025 – July 1, 2025
Thiruvarur, Tamil Nadu, India
Time and Content-Aware Causal Model for Mitigating Popularity Bias in News Recommendation Systems
June 24, 2026 – Present
Developed a time and content-aware causal recommendation model using the MIND dataset to mitigate popularity bias in news recommendation systems.
Machine Learning Techniques for Stock Price Prediction and Graphic Signal Recognition
June 24, 2026 – Present
Implemented machine learning techniques for predicting stock prices and recognizing visual signals from market data.
Clinical Data Analytics Workshop
DBT-Bioinformatics Center at SASTRA University with Clinosol Research Pvt. Ltd.
February 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects in machine learning and recommendation systems, combined with professional experience in data engineering, show a blend of theoretical knowledge and practical application. The roles held, though short-term, align with the target role of Data Engineer. The participation in a clinical data analytics workshop indicates a willingness to learn and adapt to new domains. The breadth of skills includes SQL, Python, ETL, and data visualization, which are relevant for a data engineering role, suggesting a good foundational fit.
Soft Skills & Operational Fit
The candidate demonstrates an ability to handle operational tasks, perform data validation, and assist in documentation, indicating attention to detail and a structured approach to work. The experience in supporting reporting activities suggests a service-oriented mindset. However, the provided data does not offer sufficient insight into stress handling, logical reasoning, or team collaboration beyond the scope of task execution.