Rajesh Kumar Rout

Operations Associate

Bhubaneswar, Odisha, India4 yrs 11 mos experience

AI EnabledHighly Stable

Key Highlights

4.5+ years in Quality Engineering and Data Analytics.
Expert in SQL and Python for data validation.
Proven track record in improving test quality.

Stackforce AI infers this person is a Healthcare Data Analyst with strong SQL and Python skills.

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Skills

Core Skills

Data AnalyticsSql

Other Skills

pythonMicrosoft SQL Serverdata quality checksMicrosoft ExcelPostgreSQLHugging Face ProductsLangChainGen AILarge Language Models (LLM)Transformer ModelsTableauMicrosoft Power BIPySparkDjango REST FrameworkMatplotlib

About

4.5+ years of experience as Quality Engineering Analyst with strong expertise in validating healthcare data using clinical and eligibility rules. Skilled in performing extensive data quality checks and writing complex SQL and Python solutions to identify discrepancies, trends, and root causes across large datasets. Proven ability to translate requirements into effective test scenarios, improving test quality and efficiency. Collaborative team player with hands-on experience in automation, stakeholder engagement, and defect tracking to ensure high data accuracy and reliable production releases.

Experience

4 yrs 11 mos

Total Experience

4 yrs 11 mos

Average Tenure

4 yrs 11 mos

Current Experience

Infosys

3 roles

Quality Engineering Analyst

Promoted

Jan 2024 – Present · 2 yrs 4 mos · Bhubaneswar, Odisha, India

▪ Analyzed member data to validate attribution accuracy using clinical and eligibility rules.
▪ Performed data quality checks (completeness, consistency, duplicates, outliers) on large healthcare
datasets.
▪ Wrote complex SQL queries to extract, join, and validate data across multiple clinical and operational tables
to identify data mismatches, ensuring accuracy and preventing defects from propagating to production.
▪ Conducted exploratory data analysis (EDA) to identify trends and anomalies in member assignments and
provider mappings.
▪ Supported root cause analysis by investigating data discrepancies and tracing issues to upstream data
sources.
▪ Used NLP-based tools to translate requirements into test scenarios, reducing 30% ambiguity & improving
test design quality.
▪ Collaborated closely with developers, business analysts, and product owners to refine requirements, identify
gaps, and improve overall product quality.
▪ Automated repetitive data checks using Python/Excel, improving test efficiency and reliability and release
confidence.
▪ Used SQL and Python to preprocess, clean and analyze structed clinical data.
▪ Partnered with stakeholders to ensure analytical output aligned with clinical and business objectives.
▪ Utilized test management tools (Rally) to track defects, maintain test coverage & provide transparent
reporting.