Siddhant Bhatia

Data Scientist

Gurugram, Haryana, India6 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

5 years of experience in data analysis.
Proficient in SQL, Power BI, and Python.
Expert in financial data audits and compliance.

Stackforce AI infers this person is a Data Analyst with expertise in Fintech and data-driven decision-making.

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Skills

Core Skills

Data AnalysisStatistical Data AnalysisData Visualization

Other Skills

Active ListeningAnalytical SkillsBusiness AnalysisCritical ThinkingData AnalyticsData CleansingData ScienceData ValidationData WarehousingDecision-MakingETL ToolsExcelExcel DashboardsExtract, Transform, Load (ETL)Machine Learning

About

Dedicated and results-driven Data Analyst with 5 years of experience in leveraging data analysis to steer business solutions and facilitate data-informed decision-making. Proficient in utilizing a versatile toolkit of data analysis tools, including SQL, Power BI, and Python, to transform raw data into actionable insights. Adept at data interpretation, identifying trends, and employing statistical methodologies to extract valuable information. Conducted journal audits to ensure the accuracy and reliability of financial data, identifying trends and anomalies for risk mitigation. Performed IT control audits, analyzing data access, process integrity, and compliance, collaborating with cross-functional teams to implement solutions

Experience

Kpmg

2 roles

Senior Data Analyst

Promoted

Oct 2025 – Present · 5 mos · Hybrid

Data Analyst

Apr 2022 – Oct 2025 · 3 yrs 6 mos · Hybrid

Data Analysis and Extraction:
Conducted in-depth analysis of financial data using tools like Excel, SQL, and PowerBI to support audit procedures.
Extracted and retrieved relevant data from multiple sources, including databases, financial systems, and external records.
Audit Support:
Collaborated closely with audit teams to provide data-driven insights and evidence for financial audits.
Assisted in evaluating internal controls, risk assessments, and compliance with auditing standards.
Data Validation and Quality Assurance:
Implemented data validation checks and reconciliation processes to ensure data accuracy and integrity.
Conducted data cleansing and preprocessing to treat duplicates and outliers, improving data quality.
Statistical Analysis:
Utilized statistical techniques for substantive testing, risk assessment, and identifying audit areas requiring special attention.
Data Visualization and Reporting:
Created clear and informative data visualizations using PowerBI and Excel to communicate audit findings effectively.
Prepared detailed reports summarizing audit results and data analysis insights.
Regulatory Compliance:
Stayed updated on relevant audit regulations, accounting standards, and industry best practices to ensure compliance.
Maintained adherence to auditing and ethical standards in all analysis and reporting activities.
Problem-Solving and Recommendations:
Identified financial discrepancies, irregularities, and areas of concern, proposing solutions or recommendations to address issues.
Contributed to the development of data-driven strategies to optimize audit processes.