Hey, thanks for visiting my website. I’m Aayush - a recent (2021) graduate from the University of Washington. I’m a Machine Learning Engineer/Data Scientist with over two years of experience working in fast-scaling & high-performance teams.

Currently, I am working as a Machine Learning Engineer at Stats Perform aiming to build a platform to help Data Scientists and AI Scientists in productionizing their models. I have also recently worked as a Student Researcher at Microsoft and at TerraClear as a Software Engineer. I have a Bachelor of Technology degree in Computer Science from the University of Mumbai.

I’m super enthusiastic about learning new technologies and how these can be best used in my job! I often gravitate towards project making me think out of the box and am always up for any new and exciting opportunities coming my way.

Oh, and also, I’m a sports buff and a HUGE Formula 1 fan. Hit me up if you want to talk sports, machine learning, data science, or anything fun in life! :)

Education

Master of Science (MS) in Information Management, University of Washington

September 2019 - Present | Seattle, USA

I am currently pursuing my Graduate Degree in Information Management from the University of Washington with a focus in Data Science and Business Intelligence.

CGPA: 3.82/4.0
Relevant coursework:

• Fall ‘20: Statistics, Advanced Databases
  
• Spring ‘20: Scaling and Applications in Data Science, Business Intelligence Systems, Research and Analysis for Information Management Professionals
  
• Winter ‘20: Machine Learning and Econometrics, Relational Database Management Systems
  
• Fall ‘19: Foundations of Data Science
  

Bachelor of Technology (B.Tech) in Computer Science, University of Mumbai

August 2015 - June 2019 | Mumbai, India

I completed my Undergraduate Degree in Computer Science from the University of Mumbai - K.J Somaiya College of Engineering in 2019.

CGPA: 3.7/4.0
Relevant coursework: Artificial Intelligence, Machine Learning, Big Data Analytics, Data Warehousing and Mining, Neural Networks and Fuzzy Logic, Image Analysis, Introduction to Business Intelligence, Fundamentals of Programming, Data Structures, Analysis of Algorithms, Operating Systems, Object Oriented Programming, Applied Mathematics

Experience

Software Engineering Intern, TerraClear Inc.

June 2020 - Present | Seattle, USA

• Revamped the data processing pipeline for raw multispectral/RGB drone images to create the COCO dataset for the Convolutional Neural Networks in Linux
• Spearheaded research on image processing techniques for boundary & object detection from stitched orthomosaic images by leveraging OpenCV in Python
• Optimized operational processes of the Computer Vision & AI team by 60%+ and reduced 18+ man-hours per week
• Conducted code reviews and collaborated with cross-functional stakeholders to revamp code review procedures
• Designing & creating a relational PostgreSQL database to preserve JSON based drone data generated from the pilot portal

Data Analyst Intern, Puratech Solutions

June 2018 - August 2018 | Mumbai, India

• Refactored the consumer demographic data collection process and increased operational efficiencies by 12%
• Collected & analyzed web scraped data in R to derive insights on customer behavior, informing strategies that increased the customer retention rate by 9%
• Conceptualized and implemented A/B test plans to validate customer hypotheses and understand customer behavior patterns

Digital Analyst Intern, Greymeter

December 2015 - January 2016 | Mumbai, India

• Re-engineered area-specific social media campaigns by analyzing student performance and collecting it in Excel
• Used Marketing Analytics, Google Analytics to increase the likes on social media platforms by 58% in a month

Marketing Research Analyst Intern, 3DcreatR

July 2015 - August 2015 | Mumbai, India

• Researched the various pedagogical trends to understand the willingness of schools to add 3D printing to their curriculum
• Re-designed the database of the top schools willing to participate in this program and improved the data quality by 17%

Key Skills

• Programming Languages: Python, R, Java, HTML5, CSS3, C, Javascript
  
• Operating Systems: Windows, Linux, Ubuntu
  
• Libraries: PyTorch, Tensorflow, Keras, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, Statsmodel, NLTK, Caret, Ggplot
  
• Databases: MySQL, PostreSQL, T-SQL, MongoDB, SSMS, SSIS
  
• Visualization Tools: Tableau, PowerBI, Qlikview
  
• Modeling: Linear Regression, Logistic Regression, SVM, Decision Trees, Random Forests, Bagging, Boosting, K-means, KNN, Latent Dirichlet Allocation, Sentiment Analysis, Lasso Regression, Ridge Regression, Naïve Bayes, Deep Neural Networks, Convolutional Neural Networks, ARIMA, SARIMA
  
• Tools: AWS SageMaker, AWS Lambda, AWS EC2, AWS API Gateway, Jira, Git, MS Excel