BSc (Hons) in Information Technology Specializing in Data Science (Reading)
I'm Waseek Lareef, a passionate data science student and data analyst intern with real-world experience in analytics, dashboards, and machine learning. I specialize in building data pipelines, visualizing trends, and creating impactful solutions using AI and cloud tools.
Designed dashboards, automated reporting using Python, optimized SQL ETL workflows, and supported RAG system implementation for audits.
June 2024 – March 2025
Core: Python, SQL, Feature Engineering, EDA
Tools: Pandas, NumPy, Scikit-learn, PyTorch
Focus Areas: Classification, Regression, NLP, LLMs
Skills: ML Models, LLM Fine-Tuning, AI Applications
Processes: ETL, ELT, Data Pipelines
Tools: SQL, NoSQL, SSIS, MongoDB, Snowflake
Dashboards: Tableau, Power BI, Looker Studio
Tech: Git, Docker, AWS, Azure
Comprehensive degree program focusing on data science, machine learning, cloud computing, and software development.
2021 – 2025 (Expected)
Successfully completed A/Ls in Physics, Chemistry, and Combined Mathematics.
2018 – 2020
Completed O/Ls with strong academic performance across core subjects.
2011 – 2017
ESP32-based system for PM10, eCO₂, TVOC, humidity, and temperature monitoring with predictive analytics and Node-RED dashboards.
GitHub3D CNN-based deep learning model using PET/CT DICOM images for detecting tumors and classifying TNM stages.
ML-based vehicle CO₂ emission predictor using SVM & Random Forest with a Streamlit UI.
GitHubNLP-powered chatbot for retail customer engagement. Built with ML and deployed via web.
GitHubFull-stack web app for garment operations using React, Node.js, and MongoDB. Team project.
GitHubBudget tracking Android app using Kotlin. Coordinated a small dev team and delivered a working MVP.
Designed and implemented ETL pipelines with SQL + SSIS for centralized data warehousing and BI reporting.