Data Analyst

Transforming data into actionable insights with 3 years of experience in data analysis and documentation, statistical analysis, inventory management and process automation.

Muhammad Ibrahim

About Me

Muhammad Ibrahim

Software Engineering graduate and Passionate Data Analyst with 3 years of experience ensuring project success with data, APIs, and models. Proven track record in creating innovative data solutions with a marked impact on revenue management and labor market insights. Proficient in Microsoft Office, R, Databases, SQL and Python and Power BI crafting compelling visualizations to drive informed decision-making. Dedicated to maintaining data integrity and adhering to best practices in data visualization and user experience design.

Name: Muhammad Ibrahim

DOB: 6 Nov 2000

Experience: 3 Years

Email: ibbraahimmuhammad@gmail.com

Phone: +923356554412

Location: Islamabad, Pakistan

Work Experience

Revenue Management Analyst (Data Analyst)

Airblue (Pakistan's 2nd Largest Airline)

2 Years

Leading data-driven initiatives to optimize revenue management strategies through predictive modeling and advanced analytics.

  • Automated core functions in the Revenue Management department
  • Designed and maintained dynamic dashboards in Tableau and Power BI, tracking KPIs such as RASK, yield, revenue per pax, and seasonal trends across domestic and Umrah-based international routes.
  • Created tools for automated data extraction, transformation, and KPI reporting (Load Factor, RASK, Yield, Ancillary Revenue).
  • Supported internal airline systems for revenue and inventory management

Software Engineer Trainee

TPL Trakker

1 Year

Developed backend solutions using Python to manage enterprise-scale data for client-facing platforms.

  • Automated recurring reporting tasks and optimized data validation pipelines, supporting smoother client data delivery.
  • Coordinated with cross-functional teams to support business analytics and digital transformation.
  • Built anomaly detection systems for vehicle tracking data
  • Automated data cleaning pipelines for IoT sensor data

Education

BS Software Engineering

University | 2019 - 2023

Graduated

Focused on core areas of software development with a strong emphasis on data analysis, machine learning, and data-driven decision-making. Developed analytical thinking and hands-on expertise with tools like Python, Pandas, and Scikit-learn.

Final Year Project:

Built a machine learning-powered web application for skin cancer detection. Trained classification models on dermatology image datasets and integrated predictions into a user-friendly interface using Flask and OpenCV.

Intermediate (Pre-Engineering)

Fauji Foundation College for Boys | 2017 - 2019

Completed

Studied core pre-engineering subjects including Physics, Chemistry, and Mathematics. Built a foundational understanding of technical concepts and problem-solving strategies that paved the way for my software engineering journey.

Technical Skills

Programming Languages

Python95%
Powerbi and Tableau90%
SQL/MongoDB85%

Machine Learning

Scikit-learn90%
TensorFlow/Keras85%
XGBoost88%

Data Tools

Databases95%
SMAX (Service Management Tool)90%
Microsoft Power Automate85%

Other Skills

Data Visualization92%
Statistical Analysis90%
API Development85%

Featured Projects

Helmet and ID Detection Using YOLO and CNN

Helmet and ID Detection Using YOLO and CNN

2025

Developed Flask-based web application for detecting whether individuals in a video are wearing helmets.

Python HTML CNN FLASK
AI-Agents-for-Medical-Diagnostics

AI-Agents-for-Medical-Diagnostics

2022

Python project designed to create specialized LLM-based AI agents that analyze complex medical cases.

Python DOTENV JSON LLM
HubSpot Prospect Conversion Analysis

HubSpot Prospect Conversion Analysis

2021

Developed analysis and predictive model to determine which HubSpot free-tier prospects are most likely to convert into paying customers.

Python SKLEARN JUPYTER ANALYSIS

🕵️ Data Science Game: Solve the Case!

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Data Detective

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Contact Information

Feel free to reach out to me for any questions or opportunities. I'm always open to discussing new projects, creative ideas or opportunities to be part of your vision.

Email

ibbraahimmuhammad@gmail.com

Phone

+923356554412

Location

Islamabad, Pakistan

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