Farah Ibrar

About Me

👩🏻‍💻 Who I Am & How I Work

I'm Farah Ibrar, a data scientist at dunnhumby with an academic foundation in Biomedical Sciences and Immunology. I began my journey in research, but my passion for evidence-based problem solving led me to the world of data science. Transitioning into this field, I bring an interdisciplinary perspective that blends scientific rigor with commercial insight, underpinned by a strong attention to detail and a strategic, problem-solving mindset.

⚙️ What I Do & How I Think

I specialize in predictive modelling, statistical analysis, natural language processing (NLP), and machine learning. I'm also passionate about building clear and compelling data visualizations and dashboards using Tableau and Python, helping data communicate insights in a way that's accessible and impactful. For me, data isn't just about numbers; it's about communicating insights that drive decisions.

🎯 My Focus

I'm deeply interested in data-driven storytelling that informs strategic direction, whether it's customer segmentation, propensity modelling, or campaign evaluation. My goal is to surface insights that matter, especially in the context of customer behaviour and commercial outcomes.

Projects I Have Worked On

Explore real-world solutions I have built.

Skills & Tools

Farah's IQR Outlier Finder

Python

import numpy as np

    def detect_outliers(data):
    q1, q3 = np.percentile(data, [25, 75])
    iqr = q3 - q1
    lower_bound = q1 - 1.5 * iqr
    upper_bound = q3 + 1.5 * iqr
                    
outliers = [x for x in data if x < lower_bound or x > upper_bound]
return outliers

IQR Method

This algorithm identifies anomalies using statistical properties:

Q1/Q3: 25th/75th percentiles
IQR: The range between Q1 and Q3
Bounds: 1.5×IQR from the quartiles
Outliers: Points outside these bounds

Test with Your Data

Personal Interests

I embrace a healthy, dynamic lifestyle and thrive on continuous learning and new challenges. Motivational quotes keep me focused and driven, fueling my passion for growth and self-improvement.