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zeyamosharraf/README.md

Hi 👋, I'm Zeya Mosharraf

Analytics Engineer | Cloud-Enabled Data & Automation Specialist 🚀

Simplifying complex data systems, automating workflows, and delivering reliable insights that empower faster decisions.

🧠 What I Do

I design and implement robust analytics systems that move raw data into structured, dependable datasets — enabling teams to work with confidence.

My experience spans:

  • Automating data ingestion and transformation pipelines
  • Building reliable analytical models and dashboards
  • Optimizing backend logic for performance and accuracy
  • Using cloud fundamentals to scale workflows

🚀 How I Solve Business Problems & Deliver Impact

❗ Automating Reporter Workflows

  • Built end-to-end automated pipelines that eliminate repetitive manual processes, reducing operational effort by ~80%.

❗ Stabilizing Data Infrastructure

  • Designed systems to prevent failures from API rate limits and unreliable refreshes by introducing secure intermediate processing layers.

❗ Delivering Reliable Metrics

  • Standardized analytical logic (including DAX measures) to ensure business insights reflect actual behavior and reduce ambiguity in decision-making.

❗ Improving Speed & Consistency

  • Upgraded SQL logic and data models to improve accuracy and performance — reducing errors and improving refresh reliability.

❗ Transforming Ad-Hoc Work Into Scalable Systems

  • Turned fragmented spreadsheets and manual analysis into centralized, automated dashboards that stakeholders trust.

🛠 My Technical Stack

Languages & Scripting:
Python · Google Apps Script · SQL

Data Processing & ETL:
API Integration · Data Automation · Transformation Logic · SQL Workflows

Databases & Modeling:
MySQL · PL/SQL · JSON Processing · Data Structuring (Star & Semi-Star Concepts)

BI & Visualization:
Power BI · Advanced DAX · Dashboard Design · KPI Modeling

Cloud & Supporting Tools:
Basic Cloud Fundamentals (GCP) · Version Control · Analytics Tracking

📌 Experience Highlights

Analytics & Automation Systems

  • Automated ingestion, refresh and migration pipelines (Python + SQL + Power Query) that now run reliably without manual intervention.
  • Reduced recurring manual reporting effort by ~80% through effective automation.
  • Built analytical frameworks that guide consistent decision-making across teams.

Reliable Performance & Data Integrity

  • Optimized backend data processing logic to eliminate incorrect outputs and reduce processing delays.
  • Introduced validations to ensure data accuracy and safeguard against corrupt or invalid records.

Dashboarding & Metrics Standardization

  • Designed robust Power BI dashboards with well-defined KPI logic ensuring metrics reflect true business states.
  • Applied advanced modeling and DAX patterns to enhance report performance and stakeholder understanding.

Cloud-Aligned Thinking

  • Integrated cloud fundamentals into analytics workflows to support future scaling and more reliable deployments.
  • Leveraged cloud data principles to organize pipelines and analytics processing thoughtfully.

📌 Personal Philosophy

I believe data should be:

  • Actionable — not just stored or visualized
  • Reliable — systems should work without constant oversight
  • Structured — build for reuse, not for one-off answers

This mindset guides how I design analytics systems and solve problems.

📫 Let’s Connect

If you're interested in data systems, automation, or collaborating, feel free to connect:

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  1. zeyamosharraf.github.io zeyamosharraf.github.io Public

    A modern, responsive, and SEO-optimized analyst portfolio built with React, Tailwind CSS, TypeScript, and Vite. Includes dark mode, case studies, projects, certifications, and blogs.

    HTML

  2. employee-onboarding-slack-alerts employee-onboarding-slack-alerts Public

    Automated employee onboarding alerts for Slack via Google Apps Script. Handles daily reminders, BGV compliance, and weekly planning to replace manual tracking.

    JavaScript

  3. hubspot-contact-history-normalization hubspot-contact-history-normalization Public

    Python ETL to normalize HubSpot contact history exports into a clean, session-aligned CSV dataset.

    Jupyter Notebook

  4. powerbi-gsheets-middleware powerbi-gsheets-middleware Public

    A secure middleware that eliminates '429 Too Many Requests' errors between Google Sheets and Power BI. Features smart rate-limiting and token authentication.

    JavaScript

  5. redBus-Seat-Demand-Prediction-XGBoost redBus-Seat-Demand-Prediction-XGBoost Public

    🏁 Solo submission for the redBus Hackathon — Predicting seat demand using XGBoost with smart feature engineering, validation, and model tuning.

    Jupyter Notebook

  6. zeya-mosharraf-iwh-i-practicum zeya-mosharraf-iwh-i-practicum Public

    Forked from HubSpot-Academy/integrating-with-hubspot-i-foundations-practicum

    This is the official repository for the Integrating With HubSpot I: Foundations practicum. To work with this repository, please FORK it and then download to your local development environment.

    Pug