Business Intelligence Analyst

RAMISH FATIMA

+1-772-***-**** / / / / Boston, MA – Open to Relocation

EDUCATION

Northeastern University – Boston, MA Sep 2023 – Jul 2025

Master’s of Analytics CGPA: 3.93 / 4.00

Coursework: Advanced Analytics, Data Visualization, Big Data Analytics, Business Intelligence, Risk Analytics,

Statistics, Communication and Visualizations, Data Mining, Enterprise Analytics, Statistical Modeling, Business Intelligence.

National University of Science and Technology Jun 2012– Jul 2016

Bachelor’s of Science in Software Engineering CGPA: 3.10 / 4.00

Coursework: Database Management, Data Structures & Algorithms, Web & API Development, Cloud Computing.

TECHNICAL SKILLS

Programming & Querying: Python, R, SQL (MySQL, MS SQL Server, PostgreSQL, Oracle), Power Query, Redshift

Data Visualization & BI Tools: Tableau, Power BI, Amazon QuickSight, Google Analytics, Alteryx

Cloud & Data Platforms: AWS (Redshift, S3, EC2), Google Cloud, Azure, Snowflake, BigQuery, Hadoop, Spark

Workflow & Automation: Bitbucket, Salesforce, Power Automate, Kibana, OBIEE, Datanet, Snowflake

Competencies: Data Governance, KPI Optimization, ETL Workflow Automation, A/B Testing, DQR, Metadata Modeling, Pipeline Monitoring

PROFESSIONAL EXPERIENCE

Redflag AI Jan 2025 – Present

Business Analyst II (Co-op) Berkeley, CA, USA

●Conducted root cause analysis on 1M+ supply chain records using DAX queries, Python, and Excel (VBA, pivot tables), identifying 15% inefficiencies in counterfeit detection and strengthening business intelligence reporting.

●Designed Power BI-driven business intelligence dashboards with row-level security, analyzing 10M+ financial data points to identify trends, enhance business communication, and provide 25+ strategic recommendations across 5+ cross-functional teams.

Share Mobility Mar 2021 – Aug 2023

Business Analyst Columbus, TX, USA

●Optimized ETL workflows using AWS Redshift, Python, and Excel (Power Pivots), reducing data latency by 35% and enabling real-time tracking of $2.1M+ in supply chain transactions.

●Developed interactive business intelligence dashboards in AWS QuickSight, uncovering 20% inefficiencies in operational workflows and enhancing stakeholder collaboration for 50+ teams.

●Led A/B testing on 50+ operational processes and existing PowerBI reports, improving business performance metrics by 12%, while mitigating counterfeit risks by 15%, ensuring compliance with global standards.

Netsol Technologies Jan 2020 – Feb 2021

Associate Business Analyst Lahore, PAKISTAN

●Analyzed 50M+ supply chain records using SQL, and Excel (VBA, pivot tables), reducing query latency by 21% and improving DQR accuracy by 3x, ensuring zero counterfeit incidents.

●Created self-service reporting tools in Power BI, reducing manual query dependency by 50%, enabling stakeholders to access actionable insights 2x faster.

●Designed business intelligence dashboards in Tableau, automating KPI reporting (5+ key metrics ) and reducing decision-making time by 25%, improving cross-functional collaboration and improving supply chain transparency by 3x.

Mobilelive Inc. Dec 2016– Dec 2019

Business Intelligence Analyst Toronto, ON, CANADA

●Led requirements gathering to design Power BI dashboards for supply chain KPI tracking, streamlining 5K+ transactions monthly, enhancing data accessibility for 50+ stakeholders, and developing scalable data solutions to support operations.

●Built predictive models in R and SQL for financial analysis, improving financial risk detection by 23% and preventing $1.3M+ in operational losses through real-time fraud prevention.

PROJECTS

Optimizing Data-Driven Project Assessments for Traxidy (Link) Aug 2024 – Dec 2024

●Integrated an AI-powered chatbot using LSTM, reducing query resolution time by 67% (from 6 minutes to 2 minutes per query), enabling stakeholders to retrieve actionable insights faster.

●Developed a Tableau-integrated KPI dashboard to automate performance tracking across 50+ projects, reducing manual data compilation by 69% (1 manager now oversees 25 projects vs. 5 previously).

Optical Recognition and Predictive Analytics for Disease Identification (Link) Jan 2024 – Mar 2024

●Preprocessed 15,000+ optical recognition records using Python, uncovering 150+ symptom-disease correlations, increasing diagnostic accuracy by 18%.

●Designed Power BI-driven KPI visualizations by integrating multiple data sources (Vizient CDB, Press Ganey), enhancing disease pattern tracking and improving diagnostic efficiency by 40% in high-risk populations.

LEADERSHIP & COLLABORATION

●Partnered with IT and BI teams to analyze 5M+ data points, implementing A/B test plans and test cases that improved business insights by 15% and influenced $133K+ in revenue decisions.

●Directed enterprise-wide data migration for large datasets (1.2M records, 1TB+), ensuring zero data loss and reducing migration time by 30 hours. Improved metadata modeling, pipeline monitoring, and data governance, enhancing audit traceability across five business units.

CERTIFICATIONS

Foundations of Data Science (Google Analytics) – Certified in Advanced data analytics. Jan 2024 – Apr 2024

Project Management Foundations (PMI) - Certified in project planning, and risk management. Sep 2024 – Dec 2024

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