Shaik Vikhar Rabbani
Data Analyst
Data Analyst with experience in data analysis, ML data preparation, business intelligence, and visualization across e-commerce, finance, and reporting environments. Strong background in Python, SQL, Tableau, Power BI, and Excel for building dashboards, improving data quality, and supporting risk analysis.
Follow me:
6
Years of experience
Vikhar
About Me
Data Analyst with 6+ years of experience in data analysis, ML data preparation, business intelligence, dashboard development, and reporting. Expertise includes Python, SQL, Tableau, Power BI, Excel automation, and data validation, with a strong focus on risk analysis, workflow improvement, and converting raw data into accurate, decision-ready insights.
My expert
areas
Specialized in data analysis, ML dataset preparation, business intelligence, dashboard development, reporting automation, and risk analytics using Python, SQL, Tableau, Power BI, and Excel.
Skills
Python Data Analytics (Pandas, NumPy, Scikit-learn)
SQL & Database Management
Tableau
Power BI
Advanced Excel & VBA
Data Cleaning & Transformation
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6
Years of Experience (+) -
500
Customer Accounts Investigated Monthly (+) -
10
Datasets Analyzed (M+) -
200
Vendor Invoices Processed Weekly (+)
Education
Postgraduate Certificate in Big Data Analytics
Georgian College
Barrie, Ontario
September 2025 – April 2026
Postgraduate Certificate in Financial Planning and Services
Conestoga College
Kitchener, Ontario
September 2024 – May 2025
Bachelor of Commerce in Computer Applications
St. Mary’s Centenary Degree College
India
June 2016 – August 2019
Experience
Amazon
ML Data Associate II | August 2021 – August 2024
- Investigated 500+ customer accounts monthly using data-driven risk analysis methods, reducing fraudulent transactions by 35% across reviewed cases.
- Built data quality frameworks for reseller program datasets, improving ML model prediction accuracy by 28% through validation protocols.
- Streamlined investigation workflows through cross-functional collaboration, reducing manual review processing time by 40% across operational tasks.
- Analyzed SQL and Python datasets exceeding 10M+ records, generating insights that increased legitimate high-volume approvals by 25%.
Amazon
Catalogue Associate | August 2021 – July 2022
- Standardized 10,000+ raw data entries monthly for ML training datasets, achieving 99.5% accuracy through structured validation procedures.
- Systematized data transformation workflows using Python scripts, reducing processing time by 30% and increasing overall throughput capacity.
- Collaborated with ML engineering teams to identify dataset gaps and improve training data quality through systematic analysis.
- Exceeded productivity targets by 15% while maintaining top-tier quality metrics through optimized data handling workflows.
Genpact
Process Associate | August 2019 – March 2021
- Processed 200+ vendor invoices weekly with 99.8% accuracy, ensuring compliance with financial policies and regulatory requirements.
- Identified and resolved payment discrepancies through root cause analysis, reducing financial errors and improving vendor relations by 30%.
- Developed Excel macros to automate invoice validation procedures, improving process efficiency by 25% and reducing manual verification.
- Generated monthly financial reports analyzing vendor performance trends, supporting data-driven procurement and payment optimization strategies.
Certifications
Microsoft Certified: Data Analyst Associate
Microsoft
Google Data Analytics Professional Certificate
Projects
End-to-End Banking Risk & Financial Analytics
Personal Project
Data Analyst / BI Developer
Skills Used
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Risk Analysis, Financial Analytics, DAX, Business Metrics, Reporting, Data Analysis, BI Development
Key Roles
- Volunteered a data analytics solution to perform risk analysis across customer lending and deposits for mitigation planning.
- Identified patterns across 100+ accounts to support financial risk analysis and reporting improvements.
- Created 5+ custom business metrics and DAX measures for Total Loan and Total Deposits reporting.
- Improved analytical workflows by structuring reporting outputs for better visibility into customer financial trends.
End-to-End Business Intelligence Solution (Power BI)
Power BI
BI Analyst
Skills Used
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Power BI, DAX, Power Query, Data Modeling, Star Schema, Reporting, Data Cleaning, Business Intelligence
Key Roles
- Built a scalable star-schema data model to support structured reporting and efficient business intelligence analysis.
- Implemented 15+ advanced DAX measures for time-intelligence calculations and custom business logic across reports.
- Engineered 5+ interactive reports with custom themes, slicers, and bookmarks to improve reporting usability.
- Automated data cleaning and transformation for 100+ records using Power Query to support consistent analysis.
Advanced Interactive Dashboard Development (Tableau)
Personal Project
Data Visualization Specialist
Skills Used
- Tableau, Calculated Fields, Parameters, LOD Expressions, Table Calculations, Trend Analysis, Dashboard Development
Key Roles
- Built a comprehensive Tableau workbook transforming 500+ rows of raw data into actionable insights through interactive dashboards.
- Designed 10+ calculated fields, parameters, LOD expressions, and table calculations to support metric toggling and analysis.
- Structured visual reporting components to improve interpretation of trends and key metrics across dashboard views.
- Delivered interactive dashboard functionality that enhanced usability and supported more effective business insight generation.
Younger Analysis Dashboard
York Region Educational Services
Data Analyst / BI Developer
Skills Used
-
Tableau, Python, SQL, Dashboard Development, Data Transformation, Risk Analysis, Data Accuracy, Reporting
Key Roles
- Engineered an interactive Tableau dashboard analyzing customer risk patterns using transactional datasets for real-time monitoring and reporting.
- Transformed raw datasets through Python and SQL pipelines, ensuring 99% data accuracy for downstream analytical requirements.
- Developed reporting structures that supported risk-focused analysis and improved visibility into customer transaction behavior patterns.
- Built dashboard components that enabled stakeholders to review insights quickly and monitor key analytical trends effectively.
