Software Developer Data

KAMRUL ALAM

(***) ***–**** *********@*****.*** Queens, NY github.com/kamrulala08 linkedin.com/in/kamrulalamqc EDUCATION

Queens College, City University of New York (CUNY) Queens, NY Bachelor of Arts in Computer Science Expected Spring 2021 Relevant Coursework: Algorithms, Data Structures, Software Engineering, Data Analysis, Machine Learning, Databases, Principles of Programming Languages, Object-oriented Programming, Linear Algebra, Probability Theory SKILLS

Programming: Python, Java, SQL, HTML, CSS, JavaScript, Bootstrap, Swift Technologies/Databases: Jupyter Notebook, Git, MongoDB, MySQL, PostgreSQL Libraries/Frameworks: TensorFlow, Pandas, NumPy, Matplotlib, Scikit-learn, PyTorch, Keras Spoken Languages: Spanish (Conversational)

PROJECTS

What’s in the Image? December 2020

• Created and Deployed an image classifier for outdoor scenes – CUNY tech prep capstone project

• Built classifier using convolutional neural networks - CNN with the TensorFlow- Keras Sequential model

• Achieved 95% accuracy on performance metrics test. Breast Cancer Prediction October 2020

• Implemented a linear classifier to predict malignant or benign tumors using the Scikit-learn breast cancer dataset.

• Classified features using a linear regression algorithm built from scratch using NumPy and linear algebra techniques.

• Profiled model accuracy (95%) by checking prediction error with respect to size of training set. EZTest May 2020

• Developed a full stack Quiz and Homework website for supplemental, and distance learning in a team of 4.

• Designed front-end using HTML, CSS, Bootstrap, and JavaScript.

• Implemented responsive design techniques to create an intuitive and easy to use interface for students and instructors. Investea (Stony Brook Hackathon 2019) September 2019

• Developed a full stack web application to incentivize savings for young adults in a team of 2.

• Designed front-end using HTML, CSS, and JavaScript. Backend with PHP.

• Implemented responsive design techniques for web and mobile accessibility. Self-Avoiding Random Walk October 2019

• Created a multi-threaded program to find statistical average of self-avoiding walks in 2 dimensions and higher

• Used Java threads to simultaneously run 1,000 threads with 10,000 random walks per thread.

• Optimized run-time and reduced computational steps by ~30% by rebuilding codebase with more efficient data structures. Bank Simulator June 2019

• Created a bank simulator with Java to simulate real-life bank transactions.

• Implemented concurrent computing with thread and semaphores with Java to emulate queuing and servicing of customers and tellers.

• Created custom library to modularize the program. RELEVANT EXPERIENCE

CUNY Tech Prep New York, NY

Fellow, Software Development/ Data Science Jun 2020 – Present

• Selected for a technical training program, as one of 183 students out of 400+ applicants

• Learn in-demand technologies like Python 3, Jupyter Notebooks, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow and SQL as well as industry best practices for exploratory data analysis (EDA), feature engineering, data collection and processing, statistical modeling, data visualization, machine learning techniques, data science process, and big data JP Morgan Virtual Internship Experience New York, NY Software Developer Intern December 2019

• Used JPMC frameworks and tools to establish a data feed using Python that compares the historic price of any given stocks.

• Used React, TypeScript, and JPMC’s perspective framework for front-end visualization. AFFILIATIONS

• CUNY Tech Prep New York, NY

Jun 2020 - Present

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