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2

Excel Projects

2

PowerBI Projects

About Me

I work with data to understand business behavior, uncover patterns, and support decisions that lead to measurable outcomes.

My experience spans risk, operations, and customer-focused environments, where I’ve analyzed large datasets, built performance dashboards, and translated complex findings into insights stakeholders can act on. I’m comfortable working with messy data and turning it into clear, decision-ready analysis.

I use Excel, Power BI, SQL, and Python to clean, analyze, and visualize data, with Python libraries such as Pandas and NumPy supporting deeper analysis. My focus goes beyond reporting metrics to understanding why trends occur and what they mean for the business.

With a postgraduate background in Management, I approach analytics through a business lens. The projects featured here reflect my end-to-end approach, from defining the problem to delivering insights that support better decisions.

Key Skills

Data Analysis (Excel, Power BI)

SQL

Python

Pandas

NumPy

Matplotlib

Microsoft Excel (Advanced)

Micorsoft Power BI

DAX

Power Query

Data Cleaning & Validation

Exploratory Data Analysis

Data Visualization

KPI Reporting & Dashboarding

Data Modelling

ETL Processes

Business Insights & Decision Support

Root Cause Analysis

My Projects

Hospitality Performance Dashboard
Hospitality Performance Dashboard

Domain/Function: Hospitality

Business Intelligence 360
Business Intelligence 360

Domain/Function: E-Commerce

Financial Analysis
Financial Analysis

Domain/Function: FMCG

Sales Analysis
Sales Analysis

Domain/Function: FMCG

My Experience

My experience spans customer operations, risk investigations, and analytics-driven roles, with a consistent focus on using data to improve decision-making, efficiency, and outcomes.

Investment Specialist

Amazon | Full-time
Oct 2024 – Feb 2026 | Remote

Operate in a data-intensive risk and investigations environment, analyzing customer and transaction data to improve decision accuracy, reduce fraud exposure, and support operational efficiency.

  • Analyzed 2,000+ customer and transaction records per month using SQL and Excel to identify behavioral patterns linked to fraud exposure, contributing to a 15% reduction in risk-related losses

  • Designed and maintained Power BI dashboards to monitor reinstatement KPIs, backlog trends, and decision accuracy, reducing average resolution time by 25%

  • Partnered with operations and policy stakeholders to translate investigation outcomes into measurable metrics, improving prioritization and workload forecasting

  • Automated recurring reports using SQL queries and Power Query workflows, reducing manual effort and improving data reliability for weekly business reviews

  • Performed root cause analysis to support process improvements and policy alignment

Tools & Skills: SQL, Excel, Power BI, Power Query, ETL, data modeling, KPI reporting, risk analytics

Senior Process Associate

Accenture | Full-time
May 2024 – Sep 2024 | Gurugram, India

Supported service performance and operational reporting through KPI-driven analysis in a global operations environment.

  • Developed KPI dashboards in Excel and Power BI to track service performance, SLA adherence, and customer impact, contributing to a 15%+ improvement in customer satisfaction scores

  • Automated reporting workflows using Power Query and advanced Excel functions, reducing reporting turnaround time and enabling faster leadership decision-making

  • Conducted root cause analysis on recurring service issues and presented actionable insights to stakeholders to support process improvements

Tools & Skills: Excel, Power BI, Power Query, KPI reporting, SLA analysis, stakeholder communication

Transaction Risk Investigator

Amazon | Full-time
Nov 2022 – Feb 2024 | Remote

Worked in a high-volume fraud and risk investigations environment, applying data analysis to identify patterns, reduce false positives, and improve detection accuracy.

  • Performed exploratory data analysis on 1,000+ fraud cases per month using optimized SQL queries, contributing to a 20% reduction in fraudulent transactions

  • Built Excel-based analytical dashboards using pivot tables and lookup logic to track fraud typologies, false-positive rates, and trend movement over time

  • Delivered structured insight summaries to internal teams, enabling data-backed adjustments to detection thresholds and review strategies

  • Conducted root cause analysis on recurring fraud patterns to support process and policy improvements

Tools & Skills: SQL, Excel, Power Query, ETL workflows, fraud analytics, transaction monitoring

Customer Service Assistant

iEnergizer | Full-time
Aug 2021 – Aug 2022 | Noida, India

Worked in a high-volume customer support environment handling premium escalations, with a strong focus on SLA compliance, issue resolution, and service quality.

  • Maintained 95%+ SLA compliance while managing 100+ premium customer escalations daily using enterprise CRM systems

  • Applied a structured, analytical approach to resolve complex issues under high-pressure conditions

  • Identified root causes of recurring customer issues, contributing to improved handling efficiency and service consistency

  • Built a strong foundation in customer journey mapping, service KPIs, and performance metrics used in service analytics

Tools & Exposure: CRM systems, SLA tracking, quality metrics, root cause analysis, stakeholder communication

Awards & Certificate

CB Cert

Excel: Mother of Business Intelligence

CB Cert

Get Job Ready: Power BI Data Analytics for All Levels 3.0

Let's Connect

Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.

Download Resume

Resume