Open to opportunities

Muhammad Sohail Rehman

@muhammadsohailrehman

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Python developer and data analyst delivering scalable ML, API integrations, and actionable data visualizations.

Pakistan

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What I'm looking for

I seek roles where I can build scalable ML-driven products, work cross-functionally, mentor peers, and apply AI and data engineering to deliver measurable business impact.

I am a Python developer and data analyst with hands-on experience building scalable data pipelines, ML models, and dashboards that drive business decisions. I design modular architectures, implement API integrations, and apply data visualization best practices to present clear, actionable insights.

My work includes energy demand forecasting with LSTM and Prophet (achieving 87% accuracy), Odoo ERP customization, and AI-powered applications using LangChain and OpenAI models. I collaborate closely with cross-functional teams and contribute to code reviews and knowledge sharing.

I am passionate about AI, IoT, and robotics, and I continually pursue new technologies to improve systems, mentor peers, and deliver maintainable, high-quality solutions under tight deadlines.

Experience

Work history, roles, and key accomplishments

Current

Python Developer

Current

Gridship

May 2025 - Present (4 months)

Led development of analytics dashboards for Treply, built an AI-powered Real Estate Assistant using LangChain and OpenAI, and performed data-driven market analysis to support a client IPO.

Python Lang Chain Streamlit SQL Data Visualization API Integration Embeddings Machine Learning

Python Developer

Eusol

Dec 2024 - Apr 2025 (4 months)

Designed an Energy Demand Prediction system using LSTM and Prophet achieving 87% accuracy, and customized Odoo ERP modules including sales, accounting, and inventory for a UK client.

Python Prophet Odoo SQL Data Pipelines XML)HTML Forecasting

Data Analyst Intern

Millions Bit Technology

Sep 2024 - Dec 2024 (3 months)

Supported client analytics projects using Python, SQL, and Excel, integrated third-party data sources, and contributed to dashboards that improved operational decision-making.