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Data Scientist at Intuitive Surgical
My journey from semi-conductor electronics to data science was led by my interest in math, computer programming and an insatiable curiosity. I stumbled into data science by accident and fell in love with it instantly. Since then, I am past 50+ certifications, 15 projects, a Masters in Computer Science (currently defending thesis) ,a year of working as an AI Engineer and completed 650 hour intensive Data Science certificate from Springboard. As an AI Engineer at Afiniti, I realized that capturing trends on certain times of the year is especially hard due to lack of prior evidence e.g. christmas or superbowl. That motivated me to tackle this problem so I took part in the Kaggle competition for forecasting sales of Walmart stores with high weight to holiday times. My approach led me to the 4th spot on the world leaderboard. Feel free to drop me a message to learn more about my approach. If you are an employer looking to solve a similar problem, reach out! Skills: Python, R, SQL, Pandas, Numpy, Keras, pyspark, Scikit-learn, Matplotlib, Seaborn, nltk, gensim, MLlib, SparkSQL, GraphX, sparklyr, Airfl ow Machine Learning tools: Clustering, Classi cation, Hypothesis testing, Linear Regression, Logistic Regression, Decision Trees, SVM, Naive Bayes, Random Forest, XGBoost, SHAP, Feature Engineering, KNN, K-means, PCA, OpenCV, Pytesseract, PIL Portfolio Highlights: I participated in a time series analysis project on Kaggle where I scored the 4th position in the world. At Afiniti: I ensured the consistent delivery of over 100,000 USD for my employer I spearheaded the project for inhouse aggregation of data from SKY - Improved data accuracy by 12%. I developed a tool in RShiny to generate a consolidated report of pre and post model deployment KPIs which was adopted throughout the company. This tool generated the results within a few minutes while previously, the same ta
University of Michigan
Master's degree, Applied Data Science
January 1, 2020 – December 1, 2023
Springboard
Data Science Specialization
January 1, 2019 – January 1, 2020
National University of Sciences and Technology (NUST)
Master's degree, Computer Science
January 1, 2016 – January 1, 2020
Ghulam Ishaq Institute of Engineering Sciences and Technology
Bachelor of Engineering (BE), Engineering Science
January 1, 2008 – January 1, 2012
Westminster College Islamabad
A'Levels, Sciences
January 1, 2006 – January 1, 2008
EMS High School
O'Level, Sciences
January 1, 2004 – January 1, 2006
Intuitive
Senior AI/ML Engineer
March 1, 2024 – Present
San Francisco Bay Area · Hybrid
Kaiser Permanente
Data Scientist IV
September 1, 2023 – March 1, 2024
San Francisco Bay Area · Hybrid
Kaiser Permanente
Data Scientist III
December 1, 2022 – September 1, 2023
San Francisco Bay Area · Hybrid
Centene Corporation
Data Scientist III
May 1, 2022 – December 1, 2022
Santa Clara, California, United States
Afiniti
Data Scientist
May 1, 2021 – May 1, 2022
United States
Springboard
Data Science Fellow
July 1, 2019 – February 1, 2020
San Francisco, California, United States
Afiniti.com
AI Engineer
November 1, 2017 – November 1, 2018
Islamabad Gpo, Federal Capial &AJK, Pakistan
Self
Data Scientist
January 1, 2015 – November 1, 2017
Pakistan
e-Horizon Pakistan (Pvt) Ltd
Technical Manager
October 1, 2013 – August 1, 2017
Islamabad
Pakistan Tobacco Company Ltd
Intern
July 1, 2010 – August 1, 2010
Jhelum Factory
Twitter Sentiment Analysis
December 1, 2019 – January 1, 2020
Used machined learning models to classified 100,000 tweets as either positive or negative
Walmart Sales Forcasting
September 1, 2019 – December 1, 2019
The aim of this project was to predict the department wise weekly sales of 45 Walmart stores located across the US. I used an ensemble of 3 models (each with a different approach) to get the results. My solution puts me on the 4th place on the Kaggle leaderboard.
Choosing best location for Vet Clinic in the Bay Area
March 1, 2019 – April 1, 2019
I used the Foursquare API to determine the best areas to open a vet clinic. I devised a custom heuristic that calculated a score for a region. The score was based on the ratio of the number of number of vets in the neighborhood and the number of pet facilities in the neighborhood like (dog parks, pet food stores etc.)
Predictive Text Application
July 1, 2016 – Present
The description is published as a presentation http://rpubs.com/shahbaz272/CapstonePresentation
Python 3 Programming Specialization
Coursera
June 24, 2026 – Present
Cloud Hadoop: Scaling Apache Spark
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 24, 2026 – Present
Data Science Professional Certificate
IBM
June 24, 2026 – Present
Machine Learning by Andrew Ng - Stanford University
Coursera Course Certificates
June 24, 2026 – Present
Data Science Specialization
Coursera Course Certificates
June 24, 2026 – Present
1st Prize for Final Year Project
GIK Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from predictive text to sentiment analysis and location optimization, demonstrates a broad interest and adaptability. Their progression through Data Scientist III, IV, and Senior AI/ML Engineer roles at different companies (Centene, Kaiser Permanente, Intuitive) indicates a drive for growth and continuous learning. The multiple certifications and academic pursuits further support a culture of continuous improvement and skill development, aligning well with dynamic, innovation-driven environments. The target role of 'Data Analyst' is well-aligned with their extensive data science background, though their experience leans more towards advanced ML/AI engineering.
Soft Skills & Operational Fit
The candidate's resume highlights 'Problem Solving', 'Data Acquisition', and 'Communication' as skills in several roles. The project descriptions, while brief, indicate an ability to tackle complex problems and present findings (e.g., Capstone Presentation). The experience in managing high-revenue clients and collaborating with various teams at Afiniti suggests strong operational fit and teamwork capabilities. However, without specific assessment data for these soft skills, this is inferred from role descriptions.