Muhammad Ismail Hafeez

Muhammad Ismail Hafeez

$3/hr
Data Analytics | Python | SQL | ETL | Web Scraping
Reply rate:
100.0%
Availability:
Full-time (40 hrs/wk)
Age:
24 years old
Location:
Islamabad, Islamabad, Pakistan
Experience:
1 year
M. Ismail Hafeez F-6 Islamabad | E-mail | LinkedIn | GitHub Education National University of Computer and Emerging Sciences, Islamabad Campus Bachelor of Science in Data Science Beaconhouse School System, Margalla Campus Cambridge GCE A Levels 2022 – Present 2019 – 2021 Experience 10/2025 – 01/2026 Data Research Intern, Dakota • Helped enrich data in Dakota Marketplace by collecting private companies data in the US market. • Utilized Google Sheet to maintain records. AI Intern, Automotive Artificial Intelligence (AAI-GmbH) 06/2025 – 07/2025 • Built a RAG based chatbot trained on ISO standard documents. • Scraped over 8000 documents using Playwright and Beautiful Soup • Utilized LangChain for LLM integration, LangGraph for memory and Vertex AI Vector Store for semantic search. • Deployed using Streamlit and FastAPI on Google Run. Projects Final Year Project - UpClout (ongoing) • Developing a platform to ease content creation collaborations. • Automated ETL pipeline by scraping Instagram profiles using Apify, cleaning and storing in PostreSQL • Integrated a smart AI based recommendation model and a chatbot to answer queries. Near-Real-Time Data Warehouse • Designed a hybrid-join stream-based join algorithm for processing Walmart sales transactions. • Automated ETL pipeline, enabling real-time data integration from CSV sources. • Developed 20 OLAP analytical queries to support business intelligence and analytics. Music Recommendation Model • Developed a real-time recommendation engine using Apache Kafka, Spark, and MongoDB on a 100GB dataset. • Deployed a user-friendly web application using Flask, supporting live data streaming and recommendations. Technical Skills Languages: Python, C++, JavaScript, SQL Libraries & Frameworks: LangChain, TensorFlow, Scikit-learn, Pandas, Playwright, Beautiful Soup Big Data Tools: Databricks , Apache Kafka, Apache Spark, Dask, Apache Airflow Web & Visualization: HTML/CSS, Flask, D3.js, Node.js, Power BI, Tableau Databases: MySQL, MongoDB, PostgreSQL Tools and Platform: Docker, Git, GCP, n8n Certificates ETL and Data Pipelines with Shell, Airflow and Kafka
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