Nazeeb Nasir

MSc Data Science and Analytics student at Brunel University London with a First Class BS in Economics and hands-on experience in Python, SQL, R, data analysis, NLP, sentiment analysis, dashboarding, and statistical research. Currently working as a Data Science Intern and building applied projects across customer insight, sustainability, SDGs, climate-related analysis, and finance-oriented data work. Strong academic foundation in economics, accounting, mathematics, and business, with experience translating technical findings into clear outputs for non-technical stakeholders.

Open to entry-level opportunities in data science, data analytics, NLP, business analytics, economics-related analysis, sustainability analytics, and finance data roles, particularly those offering long-term growth and sponsorship.

Data Science Intern at Amdari (2026-03 – Present)

• Use Python and SQL to extract, prepare, validate, and structure behavioural data for predictive and analytical workflows.
• Support model development and communicate findings through visual outputs and explainable AI techniques such as SHAP.
• Contribute to practical data science work by preparing clean datasets, checking data quality, and helping translate results for non-technical teams.

Data Analysis & AI Internee & Trainee at Victoria Solutions (2025-09 – 2025-10)

• Collaborated with teams to support the development of a case management system, helping reduce data access time by 30%.
• Maintained records, invoicing, and documentation processes, contributing to an estimated 20% improvement in workflow efficiency.

Business & Data Analyst at SMECON Pvt. Ltd. (2023-07 – 2024-09)

• Defined business metrics, analysed workflow bottlenecks, and improved reporting processes using Excel and Power Query.
• Performed exploratory analysis on operational and supply chain data, contributing to an estimated 30% reduction in processing time.
• Built dashboards and management updates to support more informed and timely business decisions.

Data Research Assistant (Econometrics Focus) at Karakoram International University (2022 – 2023)

• Worked with international socioeconomic datasets and applied econometric thinking, statistical testing, and regression analysis for research projects.
• Supported evidence-based analysis related to sustainable development, socio-economic indicators, and policy-oriented research questions.

MSc in Data Science and Analytics – Brunel University London (2024 – 2026)

BS in Economics – Karakoram International University (2024)

A-Levels in Economics, Accounting, Mathematics, Business