p101_LinkedIn_muhammad-ehtisham-ur-rehman.pdf
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filename: p101_LinkedIn_muhammad-ehtisham-ur-rehman.pdf, name: Muhammad Ehtisham, phone: +923241575075, linkedin: linkedin.com/in/farhan-ali-0b4282259, summary: Data Science & AI professional with 2+ years of experience in developing AI-driven solutions, machine learning models, and business | intelligence dashboards. Expert in Generative AI, RAG-based chatbots, full-stack development, and data analytics. Proven track record | in leading cross-functional teams, delivering scalable AI solutions, and driving business optimization through predictive analytics and | automation. | Experience Highlights/Skills | SENIOR DATA & AI ANALYST | Soft Skills: Results-oriented, Quick learner, Detail-oriented, Critical- | PSYDYNAMICS | thinking, Communication, Time management | 08/2025 – Present | United States (Remote) | Technical Skills: Python, R, SQL, Machine Learning, Deep Learning, | Leading data-driven initiatives focused on business intelligence, | Generative AI, NLP, RAG Systems, LangChain, Vector Databases (FAISS, | automation, and AI integration | Pinecone, ChromaDB), Power BI, Tableau, AWS (S3, Lambda, EC2, | Developing predictive models and machine learning solutions for business | Bedrock), FastAPI, React.js, Next.js, n8n, Make.com, TensorFlow, PyTorch, | optimization Git | Designing data pipelines and analytics dashboards for actionable insights | Leveraging Power BI, SQL, Python, and cloud-based AI APIs Education | AI ENGINEER | BS DATA SCIENCE | WAJO.AGENCY | COMSATS University Islamabad | 07/2025 – Present | Belgium (Remote) | 12/02/2022 – 05/01/2025 | Designing Generative AI applications using LLMs and multimodal models | Islamabad, Pakistan | Integrating AI features into full-stack web products (React, Next.js, Node.js) | FSC PRE-ENGINEERING | Creating automation workflows using n8n for intelligent workflow | DPS College | orchestration | 29/08/2019 – 10/07/2021 | Khushab, Pakistan | AI ENGINEER | MATRIC | SISTA AI | DPS College | 02/07/2024 – 15/06/2025 | Amsterdam, Netherlands (Remote) | 18/06/2017 – 10/07/2019 | Developing and optimizing RAG chatbots for various applications | Khushab, Pakistan | Implementing and fine-tuning LLMs for conversational AI performance | Integrating vector databases (FAISS, Pinecone, Chroma DB), experience: BLUTECH CONSULTING BTC. – ISLAMABAD, PAKISTAN | DATA ENGINEER INTERN – 13/07/2025 – 14/08/2025 | During my internship at BTC, I gained hands-on experience in data engineering by working with PostgreSQL, where I | applied advanced SQL concepts such as window functions, indexing, and query optimization. I developed ETL | pipelines using PySpark, incorporating techniques like Slowly Changing Dimensions (SCDs) and Change Data | Capture (CDC) to manage historical and incremental data. This role strengthened my expertise in data warehousing, | pipeline optimization, and big data processing, while improving my problem-solving and collaboration skills in a | real-world environment., skills_technical: data extraction, transformation and loading tools ETL Pipelines machine learning Microsoft Word | Microsoft Excel Python (Pandas, Numpy, Matplotlib, Scipy, | PySpark) No SQL(Mongo DB), education: 07/02/2022 – CURRENT islamabad, Pakistan | BACHELOR OF SCIENCE IN DATA SCIENCE Comsats University Islamabad | Website https://www.comsats.edu.pk/ Level in EQF EQF level 6 | 07/04/2019 – 06/06/2021 Islamabad, Pakistan | FSC Scienta Vision College | Website https://scientavision.edu.pk/ Level in EQF EQF level 4, projects: 20/03/2025 – 25/03/2025 | Twitter Sentiment Analysis Using CNN & Machine Learning Models | Developed a sentiment analysis model to classify tweets as positive or negative using NLP techniques. The project | involved data preprocessing, tokenization, stopword removal, lemmatization, and TF-IDF vectorization. Experimented with | Bernoulli Naïve Bayes, SVM, and Logistic Regression, selecting the best-performing model. Additionally, implemented a | CNN-based deep learning model to improve classification accuracy. The final system provides real-time insights into public | sentiment on social media platforms. 102, certifications: ML/AI CONSULTANT | FIVERR & UPWORK | AI for Beginners – HP (Dec 2024) | 01/11/2023 – Present | Freelance | Data Science & Analytics – HP (Dec 2024) | Designing and deploying RAG-based AI chatbots for various industries | Machine Learning & Deep Learning – HP (Dec 2024) | Developing interactive dashboards for data visualization | Generative AI Fundamentals – HP (Dec 2024) | Implementing ML models for predictive analytics and automation | Streamlit Boot Camp – Udemy (Jul 2023) | Google Data Analytics Certificate – Coursera (Feb 2023) | BUSINESS ANALYST | IIOT SOLUTIONS | 01/10/2023 – 30/11/2023 | Riyadh, Saudi Arabia (Remote) Volunteering & Events | Conducted data analysis to extract meaningful insights | Built data pipelines and automated dashboards | CUI Tech Fest 2025 | Optimized ETL workflows for enhanced data accuracy Participant in DataQuest competition | DATA ANALYST | Data Fest by Pakistan Statistics Bureau | AI DATA HOUSE | Participant in Poster Competition | 01/06/2023 – 30/08/2023 | Islamabad, Pakistan (On site) | Meeting with clients and understanding requirements
AI enrichment
Muhammad Ehtisham is a Data Science and AI professional with over two years of experience specializing in Generative AI, RAG systems, and full-stack development. He holds a BS in Data Science and has worked as a Senior Data & AI Analyst and AI Engineer on remote projects in the US, Belgium, and the Netherlands.
Skills (AI)
["Python", "SQL", "Machine Learning", "Deep Learning", "Generative AI", "RAG Systems", "LangChain", "Vector Databases", "Power BI", "Tableau", "AWS", "FastAPI", "React.js", "Next.js", "TensorFlow", "PyTorch", "ETL Pipelines", "PySpark", "NLP"]
Status: ai_done