Yaseenpasha M
Data Analyst / Data Science role
About
Computer Science Engineering student with hands-on experience in Data Analysis, Exploratory Data Analysis (EDA), Predictive Modeling, and Data Visualization gained through multiple industry job simulations. Skilled in Python, Power BI, Excel, and SQL for deriving actionable business insights. Seeking a Data Analyst / Data Science role to apply analytical skills to real-world business problems.
Skills & Expertise (16)
Work Experience
Data Analytics Job Simulation
Deloitte Australia Forage
Jan 2026 - Jan 2026
Completed a Deloitte job simulation involving data analysis and forensic technology. Created a data dashboard using Tableau for business performance tracking. Used Excel to classify data and draw business conclusions.
Data Science Job Simulation
British Airways Forage
Jan 2025 - Jan 2025
Completed a simulation focusing on how data science is a critical component of British Airways’ success. Scraped and analysed customer review data to uncover findings. Built a predictive model to understand factors that influence buying behaviour.
GenAI Powered Data Analytics Job Simulation
Tata iQ Forage
Jan 2025 - Jan 2025
Completed a job simulation involving AI-powered data analytics and strategy development for the Financial Services team at Tata iQ. Conducted exploratory data analysis (EDA) using GenAI tools to assess data quality, identify risk indicators, and structure insights for predictive modeling. Proposed and justified an initial no-code predictive modeling framework to assess customer delinquency risk, leveraging GenAI for structured model logic and evaluation criteria. Designed an AI-driven collections strategy leveraging agentic AI and automation, incorporating ethical AI principles, regulatory compliance, and scalable implementation frameworks.
Data Science Job Simulation
BCG (Boston Consulting Group) Forage
Jan 2024 - Jan 2024
Completed a customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics skills, identifying essential client data and outlining a strategic investigation approach. Conducted efficient data analysis using Python, including Pandas and NumPy; employed data visualization techniques for insightful trend interpretation. Completed the engineering and optimization of a random forest model, achieving a 50% recall rate in predicting customer churn. Delivered a concise executive summary with actionable insights for informed decision-making based on the analysis.
Education
Bachelor of Engineering in Computer Science and Engineering - SEA College of Engineering & Technology
2023 - 2027 · Afghanistan
Pre-University Course (PUC), Science Stream - Gangotri PU College
2020 - 2022 · Afghanistan
Certifications
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Skills (16)
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