About
Data Analyst with 2+ years of experience specializing in automated reporting engines and scalable data architecture. Expert in converting multi-million row datasets into actionable insights using Python, R (Markdown), Power BI and Snowflake. Proven track record of increasing profitability by 20% and reducing reporting cycles from weeks to minutes through parametric automation and advanced Power BI visualization.
Skills & Expertise (13)
Work Experience
Consultant - Data Analyst
George Brown College
Sep 2023 - Jun 2024
Acted as the bridge between technical data structures and business stakeholders, documenting requirements to ensure reporting accuracy across all departments. Architected and Automated a Snowflake DataMart: Integrated data from 15+ disparate sources using Python-based ETL pipelines, reducing manual processing time by 60% and saving 30+ hours weekly. Developed a multi-page Power BI suite tracking digital KPIs and engagement; optimized 20+ complex DAX measures to ensure 100% data accuracy and stakeholder usability. Automated the extraction and segmentation of PRIZM data, eliminating 70+ hours of manual effort and enabling rapid, cross-Canada audience analysis.
Data Analyst Intern
Invest India (Ministry of Commerce)
Nov 2022 - May 2023
Engineered an end-to-end reporting engine using R Markdown to extract, clean, and analyze multi-million row datasets; automated the generation of localized state-level reports in Word format, reducing the production cycle from 4 weeks to minutes. Developed a multi-factor maturity index using 5 key pillars (MNCs, FDI, Exports, Startups, and Unicorns) to evaluate city-level economic readiness; identified Tier 1 saturation and mapped data-driven expansion roadmaps for emerging Tier 2 hubs. Designed interactive dashboards to visualize regional performance metrics, enabling stakeholders to compare complex economic indicators and identify investment gaps. Implemented automated error-checking protocols within R scripts to ensure 100% data integrity across all 28+ state reports prior to government publication.
Operations Analyst
Neopay (Startup)
Jan 2022 - Oct 2022
Analyzed transactional data for 1,000+ FMCG SKUs using Python (Pandas, SciPy) to resolve wholesaler pricing inconsistencies; implemented a standardized pricing model that increased platform-wide profitability by 20%. Built visual route models by analyzing delivery latency data; identified bottlenecks in the fulfillment cycle to reduce average delivery time by 20%. Designed a Power BI performance suite to monitor the data entry team; tracked daily invoice throughput, item-level accuracy, and average processing time, enabling data-driven performance benchmarking. Developed a real-time Power BI dashboard integrated with SQL-exported data to track new orders and enrollments; mapped performance across 200+ sales reps to monitor and improve conversion rates. Led data modeling sessions with senior leadership to define and validate core business metrics, ensuring 100% alignment between operational dashboards and strategic goals.
Education
Post-Graduate In Project Management - George Brown College
2024 - 2025 · Afghanistan
Post-Graduate In Data Analytics - George Brown College
2023 - 2024 · Afghanistan
Bachelor of Business Administration (Marketing) - Bennett University
2018 - 2021 · Afghanistan
Certifications
Microsoft Power BI
Udemy · 2022
SQL for Data Science
IBM · 2021
Introduction to R Programming for Data Science
Microsoft · 2019
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