Senior Analyst with 5+ years in Data Analysis & Optimization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a highly motivated Part-Time Operation Analyst, I bring 5.0 years of experience in managing operations, improving efficiency, and driving productivity. I excel in data analysis, process optimization, and project management, as demonstrated through initiatives like attrition prediction, Airbnb dynamics analysis, and bicycle store performance dashboards. My skills span SQL, Python, Excel, and Power BI, allowing me to transform raw data into actionable insights and support strategic decision-making.
Institute of Business Administration, Karachi
Bachelor of Science · Economics & Mathematics
August 1, 2022 – May 1, 2026
Superior College of Science, Hyderabad
Intermediate Education · Pre-Engineering
August 1, 2019 – July 1, 2021
H.H Price Aga Khan Higher Secondary School, Amynabad, Hyderabad
Matriculation Certificate · Sciences
August 1, 2017 – March 1, 2019
Imran Enterprises
Part Time Operation Analyst
July 1, 2021 – June 1, 2025
India
HR Attrition Prediction & Retention Analysis
June 1, 2026 – Present
Created a predictive model to identify employee attrition trends using Decision Trees, KNN, and Random Forest, achieving 94% accuracy and supporting workforce planning decisions. Collected, cleaned, and prepared employee data, selected the key features, and evaluated performance using accuracy and other metrics to ensure reliable predictions.
Microeconomic Analysis of AIRBNB Dynamics Final Year Project
June 1, 2026 – Present
Conducted econometric analysis using regression models to evaluate income generation and employment impact of Airbnb across major urban centers. Engineered proxy variables and analyzed dataset to estimate average host income (~$686/month) and ~1.96 indirect jobs per listing, identifying pricing elasticity and demand patterns. Developed strategic policy recommendations for regulators (FBR & PBS), highlighting ~$3.18M untaxed revenue and opportunities to formalize the digital economy.
Bicycle Store Performance Analysis Dashboard
June 1, 2026 – Present
Built an interactive dashboard tracking 4 key KPI (Net Inventory Value: $6.5M, 9 brands, 1,445 customers, 7,078 units sold) with 98% data accuracy. Analyzed customer demographics and store-wise sales data to identify market trends and growth opportunities, contributing to a 15% increase in foot traffic and improved store performance. Processed and transformed raw transactional data into clear, actionable insights to support sales strategies, inventory management, and demand planning.
Intermediate SQL Certificate
DataCamp & HackerRank
December 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in Economics & Mathematics, coupled with diverse project experience in data science, economic analysis, and business intelligence, indicates a strong analytical mindset. Their involvement in extracurricular activities suggests teamwork and engagement. The blend of technical skills and practical application in operations points to a candidate who can adapt to various challenges and contribute to a data-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational and leadership skills through their part-time role and extracurricular activities. Their ability to coordinate events, manage teams, and optimize processes suggests a good operational fit. The focus on data-driven decision-making in projects aligns well with an analytical role.