Aqueel Premjee

Houston, TX ***** 832-***-**** adn0gs@r.postjobfree.com

Summary

Data Scientist with 20+ years of experience focused on machine learning, supervised, unsupervised, reinforced, deep learning, performance metrics, parameter fine tuning, descriptive and inferential statistics. Experienced in data mining, including web-crawling, and machine learning models to uncover insights and drove $3M+ in business growth. Hands-on experience with Python, R, and SQL. Seeking a challenging role to leverage my strong analytical, data-oriented skills in data mining/data wrangling and use Machine Learning to generate models that predict the outcome of unseen data. Areas of Expertise

● Python, R, SQL

● Machine Learning

● Deep Learning

● Predictive modeling

● Quantitative analysis

● Statistical Analysis

● Python, Pandas, Keras, Pytorch, NumPy, Scikit-learn, matplotlib

● Database design multipurpose

● Data wrangling

● Physics - Mechanics - Electromagnetism -Waves

Skills

● Strong communication skills

● Avid and swift learner

● Robust math skills

● Extensive knowledge of industrial control systems and technology

● Creative problem solving

● Teamwork

Experience

ALDINE ISD, HOUSTON TEXAS 2015 – present

● Developing, customizing the Learning Management System (Schoology) to create synchronous/asynchronous Massive Open Online Course (MOOC) content in Physics Page 1 of 3

Aqueel Premjee adn0gs@r.postjobfree.com

TEAM LEAD, DATA SCIENTIST CORAXIS CORPORATION (COX AUTOMOTIVE) 2011 - 2015

● Team Lead for data mining project to predict recommendation in the retail domain

● Created bot detection program in Python using decision tree analysis

● Created machine learning models with R-Caret/Python-Scikit-learn to make testable predictions

● Developed multivariate Gaussian anomaly detection algorithm in R/Python to identify suspicious patterns in online traffic

● Real Estate price extrapolations using sklearn and Pytorch

● Conducted cluster analysis to generate segmented profiles of users using KNN

● Optimized online user data model

DATA SCIENTIST HAYDARI STEEL INDUSTRIES 2006 – 2011

● Implemented regression algorithms used in the Cold rolling process using sklearn

● Improved quality through prediction of strip quality using machine learning models for processing parameters in mill, annealing and pickling

● Classification with Support Vector Machines for the Hot rolling process

● Minimized downtimes and production loss through fault prediction using cobble analysis with digital twins/assistants and vision technology for tracking

● Gradient descent process for optimizing Stockyard levels

● Track quality and optimize storage time through real-time tracking of quality and tonnage in storage and stockpiles to reduce overloading, lost stockpiles

DATABASE ADMINISTRATOR LOTUS TEXTILE INDUSTRY AND ACADEMY 1995 - 2006

● Designed entire data model for clients, employees, production items and production machinery

● Configured all servers and databases

● Set up systems/automated feeds from sensor outputs

● Responsible for data extraction, backups/restores

● Responsible for user provisioning

● Responsible for data authentication and data integrity.

● Performance monitoring for hardware and software INSTRUCTOR 1989 - 1995

● Roanoke Valley Governor's School Mathematics, Computer Science 1993 - 1995

● Virginia College Electronics 1992 – 1993

● ITT Technical Institute Physics and Electronics 1989 – 1992 Education

● 22 graduate units 1988 San Diego State University

● B.S. Physics 1986 Loyola Marymount University 2

Aqueel Premjee adn0gs@r.postjobfree.com

● Associate in Business Administration 1983 The American College in London Certificates

● Relational database and SQL and SQL server – 3-part course - Coursera

● Data Science with Python – University of Michigan

● Machine Learning – Alberta Machine Learning Institute

● Machine Learning – Stanford University

● Applied Machine Learning in Python - University of Michigan

● Data Analysis using Python – University of Pennsylvania

● Statistical Inference – John Hopkins University

● Python Data Representations – Rice University

● SQL for Data Science – UC Davis

● Probability and Data with R – Duke University

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