Mohammed Abdul Raheem

347-***-**** *aduwoe@r.postjobfree.com*

https://www.linkedin.com/in/abdul-raheem-193398170/ EDUCATION

New York University, Tandon School of Engineering, Brooklyn, NY May 2023 Master of Science, Computer Engineering

Vellore Institute of Technology, Vellore, India June 2021 Bachelor of Engineering, Electronics and Communications Engineering TECHNICAL SKILLS

Coding Languages: Python, C, C++, SQL, Java Script, PHP, HTML,CSS Packages and Libraries: NumPy, Pandas, Seaborn, Matplotlib, TensorFlow, Scikit-learn, PyTorch Tools and Frameworks: PySpark, Tableau, Version Control, Flask, AWS EXPERIENCE

Teaching Assistant, Intro to Programming using C: New York University, New York, NY Sep 2021- Dec 2021

● Designed lessons for and taught weekly lab sections with 25 students per section.

● Prepared and managed exam materials and grading procedures for all course assignments. Apprentice: JP Morgan Chase, Bangalore, India. Aug 2020 - Nov 2020

● Debugged and optimized code used for processing and visualizing correlation between two stock data feeds to enable profitable trading using Python.

● Developed a code for generating the graph for stock market prediction using Python that was manually generated previously. Data Analyst Intern: Up Solve, Bangalore, India Sep 2019- Dec 2019

● Designed a data dashboard using Tableau for clients.

● Developed features to analyze and present business insights to help in decision-making. PROJECTS

Sentence Correlator (Python, PyTorch,NLP) Feb 2021 - May 2021

● Trained various BERT based NLI models that use Multilingual dataset of a premise and a hypothesis

● Classified the relations between Hypothesis and Premise. ( i.e Contradicted, Unrelated, Entrailed) Music Recommender System (Python, PySpark, SQL) Feb 2021 - May 2021

● Trained on the Million Song Dataset, with extensive metadata such as tags, partial lyrics content, etc.

● Implemented a Collaborative-Filter using ALS to recommend the most relevant user items. Fleur Finder App (Python, TensorFlow, Android/Java) Feb 2019 - March 2019

● Developed an Android app using Tensorflow to recognize flowers.

● Ranked Top 3 in Minor Projects.

Video Style Transfer(Python, ML, DL) Nov 2018 - April 2019

● Identified artistic properties of an image using the VGG19 convolutional network.

● Styled videos based on the artistic properties of an image using Convolution Neural Network. LEADERSHIP ACTIVITIES

Core Committee Member- IEEE Computer Society Jul 2018 - April 2019

● Organized 3+ Technical workshops with industry experts. Managed 500+ participants during the event.

● Guest Speaker at a 2-day Technical Workshop. Taught “Hands on ML” to 70+ participants.

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