I am a recent Computer Science Graduate from the University of Illinois at Chicago, who is passionate about Data Science ๐, Pythonic programming ๐, and open-source ๐พ.
Last Updated: September 18, 2021
โ๏ธ Reach Me
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<img src="https://super.so/icon/dark/phone.svg" alt="https://super.so/icon/dark/phone.svg" width="40px" /> +1-224-484-9321
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<img src="https://super.so/icon/dark/mail.svg" alt="https://super.so/icon/dark/mail.svg" width="40px" /> [email protected]
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<img src="https://super.so/icon/dark/github.svg" alt="https://super.so/icon/dark/github.svg" width="40px" /> GitHub
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๐จ๐ปโ๐ Education
Master of Science in Computer Science
Aug 2019 โ May 2021
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<img src="https://www.pinclipart.com/picdir/middle/542-5427710_uic-logo-west-ham-station-clipart.png" alt="https://www.pinclipart.com/picdir/middle/542-5427710_uic-logo-west-ham-station-clipart.png" width="40px" /> University of Illinois at Chicago ๐บ๐ธ
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Bachelor of Engineering in Computer Engineering
Jul 2015 โ May 2019
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<img src="https://vesitrail.ves.ac.in/public/images/logo.png" alt="https://vesitrail.ves.ac.in/public/images/logo.png" width="40px" /> Vivekanand Education Society's Institute Of Technology, University of Mumbai ๐ฎ๐ณ
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๐ Skills
- Languages: Python, Scala, Java, C++, R, Octave
- Data science: Numpy, Pandas, SciPy, Data visualization (Matplotlib, Seaborn, D3.js, Three.js), Statistical Modeling, Regression, Classification, Clustering, Hypothesis Testing, Exploratory Data Analysis
- Machine learning: Scikit-learn, Deep Learning (PyTorch, Keras), NLP (HuggingFace, Transformers, NLTK, SpaCy), Computer Vision (OpenCV)
- Frameworks: Apache Hadoop, Spark, Akka
- Cloud technologies: Azure ML , AWS (EC2, S3, EMR)
- Tools: Gradle, sbt , JUnit, Docker, Git, Jupyter
- Web: Javascript, HTML, CSS, GraphQL
- Databases: SQL, MySQL
- CI/CD: GitHub Actions, Bitbucket Pipelines
- OS: Windows, Linux, Mac
Resume
๐จ๐ปโ๐ป Experience
Undergraduate Research Assistant
Under Prof. Richard Joseph, VESIT, Mumbai, India โ (Jul 2018 โ Apr 2019)
- Implemented a system to predict if a region is a drought-prone area using its climatic parameters viz. rainfall, groundwater level, temperature, humidity, and soil type and suggest suitable rainwater catchment areas for it
- Deployed an Azure ML predictive model as an API to predict drought-prone regions using weather data of the past 25 years and developed a Python web app using Folium & Flask to display results
- Performed a comparative study of ML algorithms to determine the most optimal, achieved test accuracies of 92% & 94% on our dataset with SVM and two-class decision tree models respectively
- AI for Earth Azure Compute Grant worth $15,000 awarded by Microsoft & National Geographic
- Co-authored IEEE paper "Water Catchment Control and Management" for ICICT 2018
Summer Project Trainee
Bhabha Atomic Research Centre, Mumbai, India โ (May 2018 โ Jul 2018)
- Responsible for the development of a LabVIEW Data Acquisition system for Low-Temperature Calorimetry
- Rewrote existing LabWindows code for nano voltmeter, milliammeter, and current source into LabVIEW code to make operations faster and help domain scientists record more precise observations