Rafi Sonu
India
Contact details — on requestProof of Work — on request
Experience
Data and BI Engineer
Health Catalyst · Jul 2026 – Present
C
Data Analyst Applied ML Support
CVS Health · Apr 2024 – Jan 2026
- • Worked extensively with large-scale healthcare and time-series datasets using Python (Pandas, NumPy)
- for data cleaning, transformation, validation, and reporting.
- • Performed cross-source data reconciliation and consistency checks across operational reports,
- database extracts, and reporting systems, reducing reporting errors by 45%.
- • Applied statistical analysis to identify trends, anomalies, and abnormal patterns in weekly datasets of
- 10K+ records, improving operational insights and data reliability.
- • Developed reusable Python notebooks for automated data validation, sanity checks, and QA reporting
- to improve efficiency and reduce manual efforts.
- • Used SQL for data extraction, aggregation, and cross-verification of metrics to ensure high data
- accuracy before stakeholder reporting.
- • Collaborated with business and technical stakeholders to communicate findings, resolve discrepancies,
- and improve trust in analytical outputs.
C
Data Analyst - Applied ML Support
CVS Health · Apr 2024 – Jan 2026
- Worked extensively with large-scale healthcare and time-series datasets using Python (Pandas, NumPy) for data cleaning, transformation, validation, and reporting.
- Performed cross-source data reconciliation and consistency checks across operational reports, database extracts, and reporting systems, reducing reporting errors by 45%.
- Applied statistical analysis to identify trends, anomalies, and abnormal patterns in weekly datasets of 10K+ records, improving operational insights and data reliability.
- Developed reusable Python notebooks for automated data validation, sanity checks, and QA reporting to improve efficiency and reduce manual efforts.
- Used SQL for data extraction, aggregation, and cross-verification of metrics to ensure high data accuracy before stakeholder reporting.
- Collaborated with business and technical stakeholders to communicate findings, resolve discrepancies, and improve trust in analytical outputs.
RevRoad Remote Extern
Extern · Aug 2024 – Sep 2024
- Conducted market research using Crunchbase and structured data sources to evaluate startup investment opportunities and identify differentiation signals.
- Drafted deal memos synthesizing startup metrics, business model analysis, and investment theses into clear, decision-ready documents for stakeholders.
- Created presentation decks and recorded walkthroughs communicating analytical findings — practiced translating data into actionable narratives for non-technical audiences.
Data Analyst
Accenture · Jul 2021 – Aug 2022
- • Processed and analyzed 1M+ rows of structured sales and inventory data using Python (Pandas,
- NumPy) and SQL to create clean, analysis-ready datasets.
- • Conducted exploratory data analysis (EDA) by handling missing values, duplicates, outliers, and
- inconsistencies to improve data quality and reporting accuracy.
- • Applied statistical methods including correlation analysis, trend analysis, and distribution analysis to
- identify business insights and unusual data behavior.
- • Performed data reconciliation across multiple reporting systems and generated detailed validation
- reports to ensure consistency and integrity of business metrics.
- • Built reusable Python-based analysis notebooks with validation checks and maintained workflows
- under Git for reproducibility and traceability.
- • Worked closely with cross-functional teams to define data standards, metric calculations, and reporting
- requirements.
Data & Analytics Analyst
Accenture · Jul 2021 – Aug 2022
- Processed and analyzed 1M+ rows of structured sales and inventory data using Python (Pandas, NumPy) and SQL to create clean, analysis-ready datasets.
- Conducted exploratory data analysis (EDA) by handling missing values, duplicates, outliers, and inconsistencies to improve data quality and reporting accuracy.
- Applied statistical methods including correlation analysis, trend analysis, and distribution analysis to identify business insights and unusual data behavior.
- Performed data reconciliation across multiple reporting systems and generated detailed validation reports to ensure consistency and integrity of business metrics.
- Built reusable Python-based analysis notebooks with validation checks and maintained workflows under Git for reproducibility and traceability.
- Worked closely with cross-functional teams to define data standards, metric calculations, and reporting requirements.
Skills 0 proven through work
Also works with
Work Planning and PrioritizationVerbal CommunicationCross-Departmental CoordinationSAP ABAP ProgrammingSAP S/4HANA ManagementData ValidationBusiness IntelligenceStatistical InferenceHypothesis-Driven ExperimentationETL Pipeline DevelopmentAzure DeploymentPower BIMicrosoft ExcelData VisualizationDashboard UI DesignTransaction ReconciliationExploratory Data Analysis (EDA)Data PreprocessingTabular Data Cleaning & ValidationData Examination
Proof of Work
Proof of Work
Rafi shares this with people who ask. You'll hear back either way.
Education
Master of Science, Management Information Systems
Stevens Institute of Technology · 2022 — 2023
Bachelor of Technology, Electrical and Electronics Engineering
Vardhaman College of Engineering · 2017 — 2021
Contact details
Contact details
Rafi shares this with people who ask. You'll hear back either way.
Ask about this candidate
AI responses may contain errors. Proof status and source information are provided by Proof of Skill.
A Proof CV — one profile, kept current, with the proof attached. Back to the portal