ASHWIN DESHPANDE

Jersey City, NJ ad2737@r.postjobfree.com 551-***-****

Linkedin GitHub

SKILLS

Programming Languages: Python, SQL

Machine learning libraries and frameworks: TensorFlow, Scikit-learn, PyTorch, Keras, Scikit-Learn Probability & Statistics: Linear Regression, Linear Classification, Logistic Regression, PCA, Support Vector Machines,Gaussian Mixture Model, Neural Networks, RNN, LSTM, CNN, GAN Tools & Development Environments: GitHub

MLOps: CI/CD, Docker, Kubernetes, Jenkins, Terraform Cloud: AWS, GCP, Azure

EDUCATION

Stevens Institute of Technology, Hoboken, NJ September 2022 - May 2024 Master of Science, Computer Science September 2022 Relevant Courses:

● Fundamentals of Computing(Python) (CS 515) : Data Structures in Python, Recursion, Object Oriented Programing, Searching and Sorting Algorithms.

● Machine Learning Fundamentals and Applications (CS 559) : Various Machine Learning Algorithms like Logistic Regression, Linear Regression, Principal Component Analysis, Support Vector Machines, Gaussian Mixture Models.

● Deep Learning (CS 583) : Neural Networks, Recurrent Neural Network(RNN), Long Short Term Memory(LSTM), Convolutional Neural Network(CNN), Generative Adversarial Network(GAN), Reinforcement Learning. University of Pune, India

Bachelor of Engineering in Electrical Engineering June 2016 - May 2020 PROJECTS

African American Bias in Hate Speech Detection Github

● Developed machine learning models using Python and scikit-learn to detect hate speech and bias against African American English in Twitter data

● Trained classifiers like SVM and Naive Bayes achieving ~80% accuracy; optimized data preprocessing and modeling to improve performance.

● Built pipeline architecture leveraging NLP techniques including tokenization, lemmatization, TF-IDF to replace biased terms and recheck classification.

● Created word embedding model with word2vec to find closest word equivalents; integrated with swear word dictionary to suggest non-offensive replacements.

● Identified over 40K mislabeled tweets out of 100K samples; able to fix classification for 26K by replacing biased terms, reducing false positives.

Real-Time Deadlift Form Tracker Github

● Developed a computer vision application to count repetitions during deadlift exercise using OpenCV and Mediapipe.

● Built a Tkinter GUI with real-time rep counting, exercise phase, and pose detection probability.

● Leveraged skills in Python, OpenCV, Mediapipe, scikit-learn, and Tkinter to deliver a polished product.

● Incorporated machine learning techniques to recognize the "deadlift" exercise, tracking the number of repetitions completed.

WORD2VEC GitHub

● Used pre-trained word2vec word embeddings to find the most similar words to the given word.

● Using the word embeddings file, which contained word2vec embeddings for 400K words and had a dimension of 50 for each vector.

● Developed a program to input a word and output the nearest words based on the word2vec embeddings.

● Made a t-sne visualization of the first 1000 words and nearest 20 words for a given word. WORK EXPERIENCE

Amazon, Bengaluru, India TRON Associate May 2021 - Aug 2021

● Worked as a TRON Associate for Amazon's Vision Operations Center, supporting machine learning and computer vision programs.

● Improved process efficiency by analyzing workflows and identifying changes to reduce handling time by 15%.

● Gained hands-on experience with full agile software development lifecycle including sprints, standups, backlogs, and kanban.

● Collaborated cross-functionally to execute projects, meeting key milestones through an agile framework. Rosenberger, Pune, India Production and Process Engineer May 2020 - Aug 2020

● As a production engineer my responsibility was to produce the input cables required for the antenna.

● In the production I was leading the team of 8 people and was given daily production targets to achieve and file reports daily for the production completed.

● I was also working with the process team for a new product which was going to go into mass production, it was a signal booster antenna used in underground metros and tunnels.

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