About
Certified Data Analyst and MBA in Finance & Business Analytics with 1+ year of experience at S&P Global specializing in SQL-based data extraction, Power BI dashboard development, data visualization, data cleaning, and Advanced Excel reporting. Proven ability to transform large, complex datasets from 7,000+ sources into clean, structured, insight-ready outputs through rigorous data cleaning and ETL processes. Adept at building interactive dashboards and data visualization reports in Power BI and Tableau that enable stakeholders to monitor KPIs and make data-driven decisions. Strong finance domain expertise spanning ESG analysis, investment risk, and financial reporting. Certified by SEBI (NISM), Zerodha Varsity, and 365 Financial Analyst. Immediate joiner; open to relocate.
Skills & Expertise (24)
Work Experience
Data Analyst — Apprenticeship
S&P Global
May 2025 - May 2026
Performed comprehensive data cleaning and preprocessing on ESG and financial datasets from 7,000+ sources using SQL and Python — removing duplicates, handling nulls, standardizing formats, and validating data integrity to produce analysis-ready datasets. Built and maintained end-to-end Power BI dashboard development solutions — designing interactive KPI dashboards and MIS reports that tracked financial and ESG performance trends for cross-functional stakeholders. Delivered compelling data visualization reports in Power BI and Tableau — translating complex financial and ESG datasets into clear visual narratives that enabled non-technical stakeholders to make informed investment decisions. Authored and optimized advanced SQL queries to extract, join, and aggregate structured data from large relational databases — feeding clean outputs directly into dashboard development and reporting pipelines. Leveraged Advanced Excel (Pivot Tables, Power Query, VLOOKUP/XLOOKUP) for ad-hoc analysis, data cleaning, and supplementary reporting — supporting financial analytics and investment risk assessment workflows. Automated data-sourcing workflows using AI-driven tools to eliminate manual data cleaning steps — reducing report turnaround by 99% while maintaining 98% accuracy across all KPI reporting and data visualization outputs. Collaborated cross-functionally with analytics, operations, and finance teams to define dashboard development requirements, validate data visualization outputs, and align SQL-driven data pipelines with business reporting standards.
Finance Intern
Finance Box Pvt Ltd
May 2024 - Jul 2024
Conducted data cleaning, transformation, and ad-hoc analysis on financial market datasets using Advanced Excel and SQL — ensuring data accuracy for financial modeling (DCF, scenario analysis) and investment reporting. Built structured financial reports and data visualization summaries using Advanced Excel (Pivot Tables, charts, Power Query) — presenting KPI findings and investment insights to senior stakeholders. Performed market research and competitive analysis, translating raw financial data into decision-ready outputs through rigorous data cleaning, Excel-based modeling, and SQL querying. Analyzed risk factors and market data in equities and financial products, applying derivatives and risk management concepts — supporting portfolio management decisions with clean, validated data visualization outputs.
Education
MBA — Finance & Business Analytics - KL University
2023 - 2025 · Afghanistan
B.Tech — Civil Engineering - KL University
2017 - 2021 · Afghanistan
Certifications
Certified Data Analyst
ExcelR · 2025
Financial Modelling in Decision Making
Alison · 2025
ESG Management
Udemy · 2025
Leadership & Team Effectiveness
NPTEL · 2025
SEBI Investor Certification
NISM · 2024
Investment Banking
365 Financial Analyst · 2024
Varsity Certified
Zerodha · 2024
Project Management
NPTEL · 2024
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Skills (24)
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