Himanshu Gupta

Data Analytics having experience in data validation, anomaly detection, and controls-focused analytics in enterprise environments. Strong hands-on expertise in SQL, Python, Power BI, and Excel to analyse large datasets, design analytics-driven tests, and deliver evidence-based insights. Experienced in documenting analysis, maintaining audit-ready artifacts, supporting stakeholder walkthroughs, and improving processes through automation and data governance.

Adept at translating data observations into actionable risk insights for business and leadership teams.

Application Development Senior Analyst - Accenture Technologies - India

(2025-07)

• Analyse, clean, validate, and reconcile large operational datasets using SQL and Python to identify anomalies, trends, and high-risk patterns impacting business performance.
• Design and maintain Power BI dashboards and KPI frameworks to monitor key operational metrics and provide early indicators of abnormal activity.
• Support cross-functional teams by translating analytical findings into actionable insights for business and leadership stakeholders.
• Develop analytics test logic to support investigation of data inconsistencies and operational risks.
• Prepare structured documentation (data dictionaries, validation reports, issue logs) aligned with audit and governance expectations.
• Maintain data governance through documentation, validation reports, and issue logs to ensure reproducibility and audit readiness.
• Support stakeholders during process walkthroughs by explaining data flows, controls, and analytical findings.
• Identify opportunities to automate repetitive data checks, reducing manual effort by 75% and improving accuracy.
• Deliver executive-level reports and visual narratives that guide strategic and operational decision-making.

Application Development Analyst - Accenture Technologies - India

(2022-12 - 2025-06)

• Collaborated with 300+ stakeholders across USA, Europe, India, China, Japan, and Russia to deliver project milestones on schedule.
• Developed comprehensive documentation (data dictionaries, validation reports, issue logs), ensuring compliance with audit and governance requirements.
• Analysed historical trends and behavioural patterns to identify risk indicators, data inconsistencies, and performance gaps.
• Conducted root-cause analysis on anomalies and process deviations, recommending corrective actions based on quantitative evidence.

Application Development Associate (Supply Chain) - Accenture Technologies - India

(2020-11 - 2022-11)

• Analysed large datasets to identify discrepancies, inefficiencies, and abnormal patterns in operational data.
• Worked closely with cross-functional and vendor teams to improve operational accuracy and efficiency.
• Collaborated with global vendors (XPO Logistics, USPS, Geodis, etc.) across Europe and the US to implement process improvements, achieving 90% operational efficiency in logistics operations.

Bachelor of Technology - Mechanical Engineering - GLA University (2016 - 2020)

CBSE Board - St. Augustine School (2012 - 2013)

CBSE Board - St. Augustine School (2014 - 2015)