Umair Khakoo
Account Solution Engineer at Salesforce
New York, New York, United States
Summary
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Senior🎓
Top SchoolUmair Khakoo is an Account Solution Engineer with 7 years of experience translating complex data integration and quality needs into practical solutions, currently working at Salesforce after a tenure at Informatica. He bridges legacy on-prem tools (PowerCenter, IDQ, IIR) and cloud-native platforms (IDMC, MDM SaaS, CDI), helping customers adopt hybrid or full-cloud architectures. Hands-on background in APIs, ML models, Heroku apps and ETL gives him technical credibility while he now focuses on aligning solutions to business outcomes. He has led implementations, authored best-practice articles, won regional MVP recognition, and even spearheaded an ML-powered match-and-merge hackathon project for MDM. Based in New York with roots in Austin analytics and teaching, he combines practical delivery experience with a curiosity-driven path toward data science.
7 years of coding experience
4 years of employment as a software developer
Data Analytics and Visualization Bootcamp, Computer Programming, Specific Applications, Data Analytics and Visualization Bootcamp, Computer Programming, Specific Applications at Texas McCombs School of BusinessBachelor of Science (B.Sc.), Chemistry, Bachelor of Science (B.Sc.), Chemistry at The University of Texas at AustinData Structures and Algorithms Nanodegree, Computer Science, Data Structures and Algorithms Nanodegree, Computer Science at Udacity
Urdu, Hindi, Spanish, English, Chinese
Stackoverflow
1reputation
0reached
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Github Skills (10)
compound4
wikipedia4
regression1
python1
r-language1
statsmodels1
sports-data1
statistical-learning1
linear-regression1
anova1
Programming languages (2)
Github contributions (5)
ferozumair786/PRSNL-Soil_Analysis
Nov 2019 - Apr 2022
This project looks at data from Austin Brownfields that I had used previously for data analysis and now I am going to train machine learning models with that dataing to train machine learning
Contributions:1 PR, 13 pushes, 1 branch in 2 years 5 months
data-analysispythondata-sciencemachine-learningaustin
ferozumair786/PRSNL-Names_Analysis
Jan 2020 - Apr 2022
In this project, I've created a function to go through a list and deconstruct each name to then be fitted to a Logistic Regression model. This will help determine what percentage of each word's length, on average would produce a consolidated list of words.
Contributions:1 PR, 4 pushes, 1 branch in 2 years 2 months
regressionpythonconsolidatedlogisticlogistic-regression
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