Data Scientist - NYC-based Analytics Specialist

DATA SCIENTIST

New York City

646-***-****

E-mail: *******.*********@*******.****.***

GitHub: https://github.com/mehreengillani

Linkedin: linkedin.com/in/mehreen-gillani-74b031338 Mehreen Ali Gillani

Data Science Master's candidate combining a rigorous foundation in statistics and advanced programming with current expertise in machine learning and predictive analytics. I turn complex data into clear, actionable strategies that drive business decisions. Proficient in Python, R, and SQL, with a talent for creating intuitive visualizations that make technical insights accessible to diverse stakeholders. I am seeking to apply these skills in a dynamic environment where I can solve real-world problems and deliver measurable impact.

Education

Sep 2025 – 2027 (In process)

MS DATA SCIENCE

CUNY, SPS

SEP 2010 – June 2013

MS INFORMATION & TECHNOLOGY

NUST, Islamabad

Skills

• Python (Pandas, NumPy, Scikit learn)

• R Programming (Tidyverse, Dplyr)

• Machine Learning (Regression,

Classification, Clustering, Predictive

Modeling)

• SQL

• Visualization (Matplotlib, Seaborn,

Plotly, ggplot2, Power BI)

Publication

Post Summarization of Microblogs of

Sporting Events

https://dl.acm.org/doi/10.1145/304

1021.3054146

Work Experience

• Application Development Dept Intern

at Teradata (09-2013 to 10-2013)

• Research Assistant at NUST (07-

2011 to 01-2012)

• Network Performance Engineer at

Nokia Siemens Network (12-2009 to

08-2010)

Projects

• Laptop Recommender System

Web scraped laptop details from Amazon and Walmart

Applied feature engineering to develop personalized recommendation algorithms

Built an interactive Shiny app with user-friendly interface for dynamic filtering

• Flights Data Analysis

Analyzed T-100 Domestic Market data (U.S. Carriers) from January–July 2025, Identified patterns in carrier performance, routes, and operational trends

• AirBnB Data Analysis and Price Prediction

Transformed 86,186 raw listings into clean, analysis-ready data

Developed predictive models to estimate optimal pricing based on property features

• From Payroll to Insights: NYC Public Workforce Analysis

Analyzed 10 years of NYC public salary data (2015–2024) across city agencies

Uncovered key trends in compensation, workforce demographics, and departmental disparities

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