✶ GOOGLE-CERTIFIED DATA ANALYST ✶

Hina Akhlaque

Data analyst & telecom engineer.

I clean, validate, and visualise data, turning messy CSVs and call-detail records into Power BI dashboards that product, growth, and operations teams actually use to make decisions.

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§01 / SERVICES

What I do.

01

Dashboards & BI

Power BI and Tableau dashboards with DAX measures, drill-throughs, and tooltips that let stakeholders self-serve.

  • KPI strip
  • Cohort heatmaps
  • Drill-throughs
02

Data Pipelines

Python and SQL pipelines that clean, validate, and reshape raw operational data into trustworthy analytics tables.

  • ETL scripts
  • Data QA
  • Documentation
03

Telecom Analytics

Network KPI analysis, call-routing studies, and churn modelling that bridge RF engineering and business outcomes.

  • KPI framework
  • Churn signals
  • Reporting
§03 / PROCESS

How I work.

STEP 01

Discover

Sit with the data and the people who own it. Map the questions worth answering before touching a query.

STEP 02

Model

Clean, validate, and shape the data. Document every decision so the audit trail survives handover.

STEP 03

Visualise

Build dashboards and reports designed for self-service, not show-and-tell.

STEP 04

Iterate

Ship, watch how it gets used, refine. Analytics is a product, not a deliverable.

§04 / DISCIPLINES

Two crafts, one signal.

DATA & ANALYTICS
  • SQL (SSMS, MySQL)
  • Power BI · DAX
  • Tableau
  • Python · Pandas, NumPy
  • Excel (Advanced)
METHODS
  • KPI Framework Design
  • Statistical Analysis
  • Data Cleaning & ETL
  • Data Validation
  • Data Storytelling
SPECIALISMS
  • Dashboard Development
  • Data Visualisation
  • Data Labeling
  • Agentic Workflows
  • Computer Vision Data
SOFT SKILLS
  • Analytical Thinking
  • Independent Remote Work
  • Fast Learner
  • Time Management
  • Problem Solving
§05 / EXPERIENCE

Where I’ve worked.

JAN 2023, DEC 2023

Web Scraper & Data Collection

Limitless Capital, Remote, Singapore
  • Built Python scrapers collecting 15,000+ images from 50+ global sources, cutting manual time 65%.
  • Curated diverse datasets across 30+ countries, improving AI inclusivity metrics 28%.
  • Authored data-quality standards adopted by the cross-functional team.
MAY 2023, JUN 2023

Telecommunications Intern

National Telecom Corporation (NTC), Hyderabad
  • Analysed call routing data across 5 regional networks, identifying peak traffic patterns.
  • Created Excel dashboards tracking daily call volumes and routing efficiency.
  • Documented workflows for a knowledge base used by 20+ staff members.
§06 / ABOUT

Detail-oriented analyst with a B.E. in Telecommunication Engineering, equally comfortable in SQL queries, DAX measures, and the physics of a dropped call.

I graduated from Mehran University of Engineering & Technology in 2024, completed Google’s Data Analytics certification, and have since shipped dashboards and pipelines for clients in Singapore and Pakistan. I served as General Secretary of the IEEE MTT Society and Director of Publications for MUET MUN 2024, leadership roles that taught me how to turn analysis into a story people act on.

15K+
Images scraped
10K+
Records analysed
30+
Countries covered
3
Certifications
§07 / CERTS
CERTIFIED
Google Data Analytics
Coursera
CERTIFIED
Data Analytics Simulation
Deloitte Australia
CERTIFIED
Advanced Python Programming
NAVTTC
§08 / RECOGNITION

Leadership & recognition.

“Hina’s analytical instinct turned a routine internship report into a tool the operations floor still uses.”
Supervisor, National Telecom Corporation
  • 2024
    General Secretary, IEEE MTT Society

    Mehran University Student Branch

  • 2024
    Director of Publications, MUET MUN

    Editorial lead for the conference dossier

  • 2024
    Google Data Analytics Certified

    8-course professional certificate

§09 / FAQ

Common questions.

Are you available for remote work?+

Yes. I work remotely with clients across timezones and have shipped production work for teams in Singapore and Pakistan.

What stack do you usually reach for?+

Power BI and DAX for dashboards, SQL for modelling, Python (Pandas) for pipelines and scraping, Excel when speed matters more than scale.

Do you take on short engagements?+

Absolutely. A two-week dashboard sprint or a one-off audit is often the cleanest way to start working together.

Can you bridge engineering and analytics?+

That is the whole point. My telecom engineering background means network KPIs, call records, and signal data are first-language to me.