Open to opportunities

Salman Ashraf

@salmanashraf

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RF engineer and data visualization specialist blending wireless planning with machine learning and analytics.

Pakistan

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What I'm looking for

I seek roles combining RF planning/testing and data analytics where I can optimize wireless performance, apply ML-driven insights, and grow in telecom and AI projects.

I am an RF engineer with hands-on experience in 2G/4G/5G planning, site testing, troubleshooting and KPI measurement on large-scale projects.

I also work as a data visualization and analytics freelancer, cleaning data and building visualizations with Python libraries like Matplotlib, Plotly, Pandas and Seaborn, and applying regression and classification methods.

My background includes a B.Sc. in Electrical Engineering and focused AI bootcamp training in preprocessing, feature engineering and model fine-tuning, which I apply to bridge RF engineering and data-driven insight.

I deliver practical results — optimizing site performance, supporting drive tests, procuring technical equipment, and building analytics solutions — while continuously learning and applying modern tools to improve outcomes.

Experience

Work history, roles, and key accomplishments

Current

Radio Frequency Engineer

Current

Aircod Technologies

Oct 2022 - Present (2 years 11 months)

Plan and execute RF site testing and 2G/4G/5G RF planning for Nokia/T-Mobile projects, provide technical support to drive test engineers, troubleshoot sites to optimize performance, and measure/post-process RF KPIs.

RF Planning Drive Test Support TEMS Investigation AirView KPI Analysis Troubleshooting 4G 5G

Procurement Executive

Pharmalogic (Pvt) Ltd.

Jan 2021 - Sep 2022 (1 year 8 months)

Researched and evaluated bidding requirements, planned purchases of equipment and supplies, and maintained compliance with required standards for procurement activities.

Procurement Supplier Management Compliance

Data Visualization Expert

Upwork

Apr 2021 - Jun 2022 (1 year 2 months)

Cleaned and organized datasets, built visualizations using Matplotlib/Plotly/Seaborn, and applied statistical and ML techniques (regression, classification) to extract insights for clients.

Data Cleaning Pandas Matplotlib Plotly SeaBorn Statistical Analysis Classification Data Visualization

Education

Degrees, certifications, and relevant coursework

Atomcamp

Bootcamp Certificate, Artificial Intelligence

2023 - 2024

Activities and societies: Hands-on work in data preprocessing, visualization, feature extraction, and model fine-tuning.

Completed an Artificial Intelligence Bootcamp covering data preprocessing, visualization, feature engineering, and model building.

COMSATS University, Islamabad

Bachelor of Science, Electrical Engineering

2014 - 2018

Grade: 69.69%

Activities and societies: Final year project: Landmine Detector Drone; projects in ECG monitoring, boost converter controller design, object following robot, and modified Z-source boost inverter.

Bachelor of Science in Electrical Engineering with coursework in embedded systems, DSP, control systems, and communications; final percentage 69.69%.