Candidate

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First Name: Parag
E-Mail Address: paragkhankari19@gmail.com
Country: Country
Phone: 5134281085
Current Job Designation: Data Analyst
Job Designation Applying For: Data Analyst/ Business Analyst
Total Years of Experience: 4
Copy your Resume / CV in this box: PROFESSIONAL SUMMARY
Data Analyst with 4+ years of experience in SQL, Python, and large-scale data processing (100M+ records). Proficient in ETL pipeline automation using Airflow, Spark, and cloud-native tools (AWS, Docker, Kubernetes). Skilled in building real-time dashboards with Tableau, Power BI, and Google Data Studio. Strong background in statistical modeling, predictive analytics, and regulatory compliance (HIPAA, GDPR, PCI-DSS, RBI). Known for translating business needs into actionable insights and scalable data solutions. Proven ability to drive data strategy, accelerate decision-making, and deliver measurable business impact.

TECHNICAL SKILLS
Programming Languages: Python (Pandas, NumPy), SQL, JavaScript (Node.js, Express.js)
Databases & Data Warehousing: PostgreSQL, MySQL, MongoDB, BigQuery, Snowflake, Redshift
Data Processing & ETL: Apache Spark, Apache Airflow, SQL, Python (Pandas, NumPy)
Data Visualization: Tableau, Power BI, Google Data Studio, Excel
Machine Learning & Analytics: Scikit-Learn, Statistical Analysis, A/B Testing, Hypothesis Testing
API Development & Integration: RESTful APIs, OAuth 2.0, JWT, AWS API Gateway
Big Data & Streaming: Kafka, BigQuery, Window Functions, CTEs, Joins, Apache Spark, Batch Processing, Apache Flink
Cloud & DevOps: AWS, Docker, Kubernetes, GitHub Actions
Security & Compliance: HIPAA, GDPR, PCI-DSS, RBI Regulations, Role-Based Access Control (RBAC), Data Encryption
Agile & Collaboration: JIRA, Git, GitHub, Business Requirement Analysis

PROFESSIONAL EXPERIENCE
Data Analyst | Cardinal Health – OH | Sep 2023 – Present
• Extracted and transformed over 100M rows of patient, claims, and HR data from Azure SQL and BigQuery to support dashboards across 3 departments, cutting manual processing time by 35% and increasing audit readiness.
• Cleaned and validated 100M+ records using SQL and Excel (Power Query, PivotTables, INDEX-MATCH), increasing report accuracy by 42% and reducing data QA escalations by 50%.
• Built and published 20+ Power BI and Excel dashboards visualizing 50+ KPIs around care delivery, patient feedback, and staffing trends, reducing ad hoc report requests by 40% and improving decision-making speed by 30%.
• Redesigned a multi-layer data warehouse model that supported 10+ recurring reports, reduced time-to-insight by 45%, and improved data consistency across audits and executive reviews.
• Facilitated weekly alignment sessions with 15+ business users across HR, compliance, and operations to validate metrics and resolve logic discrepancies, improving trust in analytics outputs by 60%.
• Documented 100% of reporting logic, dashboard specs, and access roles in SharePoint and Confluence, reducing onboarding time for new analysts by 40% and improving collaboration across 3 teams.
• Automated 20+ SQL Server reports and Excel scorecards with scheduled refresh logic, eliminating over 12 hours of manual work per week and increasing on-time reporting accuracy to 98%.
• Executed UAT cycles for 15+ reports and dashboards, collecting 50+ points of feedback, resolving 100% of data discrepancies pre-launch, and reducing post-release issues by 75%

Business Data Analyst | Accenture – India | Jun 2019 – Aug 2022
• Optimized and queried SQL Server reports covering over 200M financial transactions, reducing report generation time by 58% and enabling same-day delivery for high-frequency business insights.
• Created 30+ SSRS reports with dynamic filters and drill-downs, empowering non-technical users across 6 departments to track fraud patterns, customer behavior, and revenue performance in real time.
• Developed and launched 15+ Power BI dashboards for finance and product teams, streamlining reporting workflows and cutting revision requests by 35% through clearer, self-serve visualizations.
• Migrated 12+ legacy sources to a central warehouse schema using ETL logic and staging layers, improving data alignment across departments and reducing reconciliation errors by 60%.
• Engineered Python-based data quality scripts that scanned 100M+ records per month, surfacing $750K+ in errors that were later addressed through updates in reconciliation and approval policies.
• Maintained and organized 50+ reports and logic files in Microsoft Workspaces and SharePoint, reducing time to locate assets by 70% and supporting smooth audit readiness across global teams.
• Participated in 40+ weekly solutioning sessions with reporting and finance teams, helping redesign logic for 10+ key reports and reducing turnaround time for monthly closing reports by 25%.
• Presented insights to 5+ executive stakeholders on variance trends and anomalies, directly supporting 3 internal policy revisions to improve cost control and revenue tracking accuracy.

EDUCATION
Master of Science in Information Systems - Northeastern University, Boston, MA, USA.
Bachelor of Computer Science - Savitribai Phule University, Maharashtra, India.

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