JAZIL KALIM

Data Scientist

UChicago MS Data Science Student

Ex Sr Data Scientist at Afiniti



Don’t guess, I have a better way!

About Me

I am a highly motivated and accomplished Data Scientist with a proven track record of success in developing and deploying statistical and machine learning models to solve real-world business problems. I have a deep understanding of Bayesian statistics, machine learning algorithms, and data science tools and techniques, such as Python, R, SQL, and Power BI.

University of Chicago

MS Applied Data Science | Sept-2024-Dec-2025

I’m finally getting my Master’s in Applied Data Science at the University of Chicago! I’m diving deep into machine learning algorithms, the math and science behind them, and tackling projects I always put off because I was “too busy.”

Ex Afiniti - Senior Data Scientist

I had worked with Afiniti for around 3.5 years where I was responsible for developing and deploying machine learning and probabilistic models to intelligently pair callers with call center agents. My work has resulted in significant optimization of revenue generation and improved customer retention rates.

In my role, I regularly engaged with data exploration and visualization to identify patterns and trends in data and then developed machine learning models tailored to specific business needs, such as predicting agent churn or identifying seasonal trends.

I also contributed to various data science projects, including developing churn scores, feature importance pipelines, and binning pipelines, as well as creating reports and dashboards to enhance overall efficiency.

Featured Projects

AI Dashboard

I developed a dashboard for the AI Team at Afiniti using Apache Superset. It offers a new approach to assess the AI model’s performance at runtime, allows us to monitor production using statistical tests, and automatically sets intelligent alarm thresholds to raise critical problems beforehand.

Find more here

Analyzing Car Reviews with LLMs

I designed and implemented LLM solutions to automate and enhance specific aspects of a car dealership’s operations to improve customer experience and operational efficiency by implementing pre-trained large language models (LLMs) for various tasks.

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House Price Prediction

This project involved building a real estate price prediction model using regression that allows users to interact with the model and get real-time predictions, such as estimating a house’s sale price.

 

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Learnings

Datacamp Portfolio

  • Machine Learning Scientist with Python (93 hours)    

  • Data Scientist with Python Track (88 Hours)                       
  • Data Engineer Track with Python Track (73 hours)               
Find more here

Azure Learnings

  • End-to-end machine learning operations (MLOps) with Azure Machine Learning

  • Work with generative artificial intelligence (AI) models in Azure Machine Learning     

Find more here

Interests

Golf

A game of love, hate, and existential dread for me. Weekends are for hitting the course, honing my swing technique and recognizing that perseverance is a cornerstone of achieving any goal. I love the feeling when I hit the ball and yell “FORE!” (mostly to warn unsuspecting squirrels).

F1

I am an avid Formula One (F1) enthusiast. I enjoy following the races, engaging in discussions about the sport, and staying informed about current events within F1. What particularly fascinates me is the dynamic of healthy competition within the sport, which serves as a powerful driver for innovation. I believe this model of competition, where constant improvement is fostered through rivalry, can be applied beneficially across various aspects of life.