Mohammed Salem

Sr Business Insights & Data Science Analytics Lead @TD

Toronto, ON, CA
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Sep 2024 — Present

Sr Business Insights & Data Science Analytics Lead @TD

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Toronto, ON, CA

EDUCATION

2018 — 2019

University of Toronto

Master's degree

2015 — 2015

University of Arizona

Bachelor of Science - BS

2013 — 2017

King Fahd University of Petroleum & Minerals

Bachelor of Science - BS

2019 — 2019

Lantern Institute

Mathmatical Finance and Data Science Certification Program

ABOUT MOHAMMED SALEM

Data analytics and insights is my passion! I am a data oriented, goal driven and researcher individual who holds a master degree from University of Toronto majoring in mechanical & industrial engineering with specialization in data science and analytics. I offer +1 years of experience in the field of data science and applied machine learning. As a recent graduate student, I have always enjoyed researching, diving into tiny details and perform analysis before making any decisions. I enjoy the process of support decisions and extract meaningful information from different data sources (structure and unstructured datasets) to power more informed data driven business decisions. Thus, I like being a data science consultant within business intelligence analytics team where I can embed machine learning techniques to discover business opportunities. For the past year, I have been acquiring proficiency in building predictive models, business intelligence tools and learning about managing key data requirements. Coming from an Engineering background, I enjoy being challenged to solve complex problems, think outside the box and asking a lot of questions (WHYS? and HOWS?) Technical Skills and Tools: • Programming: Python, SQL, Matlab, R (Intermediate), Scala (Basics) • Tools: Tableau, Git, AWS (EC2, EMR, Redshift, Kinesis, S3,DynmoDB, Athena), Docker (Basics) • Big Data and Machine Learning Tools: Numpy, Pandas, Matplotlib, Seaborn, SciPy, Scikit-learn (Regression, Classification, Clustering, Dimensionality Reduction), Natural Language Processing (NLP), Time Series Analysis, TensorFlow, Keras, Spark (Pyspark), Spark MLlib, Spark SQL, GGplot, Tidy • Business: Customer Segmentation, Customer Churn, Conversion Predictive Modeling, A / B testing, deep dive assessments • Data Quality and Preparation: Data Wrangling, ETL techniques (extract, transform, load), Exploratory Data Analysis (EDA), Descriptive & Inferential Statistics, Feature Engineering, KPI, Reporting Leisure Time & Fun Facts: • I like volunteering (HSCC, KFUPM ME Club, U of A International Student, AMIDEAST) • I like mother nature (Camping, Hiking) • I like cooking (Middle Eastern & Indian food) • Football Fan (FC Barcelona) • Sport (Volleyball, football, swimming, table tennis, running, long walk in park) • I like socializing and meeting people (Toronto Tech Events, Tech Meetups, Toronto Collision, Toronto ML Summit, Spark Summit, Uber Part Time Driver) • Collaborative contributor, quick learner and self-motivated, self-starter, team player, lifelong learner, curious, meticulous

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Mohammed Salem — Sr Business Insights & Data Science Analytics Lead at TD in Toronto, ON, CA | Unifers