Aman Kumar

Aman Kumar

Los Angeles, California, United States
4K followers 500+ connections

About

Hello there! 👋 I'm a data enthusiast, problem solver, and lifelong learner currently…

Activity

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Experience

  • Plero Music Graphic

    Plero Music

    Los Angeles, California, United States

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    Los Angeles, California, United States

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    Dubai, United Arab Emirates

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    United Arab Emirates

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    Remote

Education

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    Graduate Assistant at Viterbi Learning Program (VLP)
    ● Administered a team of 30+ tutors (undergraduate & graduate) as part of Viterbi school of engineering’s learning program.
    ● Optimized tutoring workflow by visualizing data for past 3 years, and identifying key areas for improvement.
    ● Remodeled and upgraded the back-end of the website increasing engagement by ~75%.

  • 3.93/4

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    Relevant Coursework:
    Big Data Analysis; Data Mining; NLP; Computer Vision; Software Engineering; Operating Systems; Algorithms

Licenses & Certifications

Courses

  • Database Systems

    CSCI 585

  • Foundations and Applications of Data Mining

    DSCI 553

  • Foundations of Data Management

    DSCI 551

  • Machine Learning for Data Science

    DSCI 552

Projects

  • Multilingual Decipherment using Transformers

    (on-going research)
    - Pioneered the application of transformer techniques in multilingual decipherment, pushing the boundaries of script decoding.
    - Orchestrated a comprehensive data strategy, encompassing cipher generation, data manipulation, and frequency reconfiguration.
    - Collaborated in diverse teams, regularly liaising with experts in data preparation, model construction, and experiment design.

  • Transfer Learning For Dual Classification: Architectural Styles And Landmarks

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    - Architected VGG16-based multi-output model for image classification of architectural styles & landmarks using transfer learning, achieving ~96% accuracy.
    - Orchestrated a data pipeline processing 420+ landmark images across 6 architectural styles and 30 landmarks using Python and Pandas.
    - Enhanced model robustness and performance in handling small and imbalanced datasets by 70%, using data augmentation.

  • NexDFS: Next-Gen Emulated Distributed File System

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    - Engineered an advanced emulation of HDFS, streamlining data management across multi nodes with focus on scalability of real time systems and reliability.
    - Rolled out specialized client capable of supporting 8+ essential shell commands, enhancing distributed file operations and boosting system efficiency by 30% and proactive resolution of emerging design issues.
    - Launched an interactive web interface, allowing users to seamlessly explore, upload, and download files, enhancing…

    - Engineered an advanced emulation of HDFS, streamlining data management across multi nodes with focus on scalability of real time systems and reliability.
    - Rolled out specialized client capable of supporting 8+ essential shell commands, enhancing distributed file operations and boosting system efficiency by 30% and proactive resolution of emerging design issues.
    - Launched an interactive web interface, allowing users to seamlessly explore, upload, and download files, enhancing experience by 40%.

  • Crypto Time Series Analysis - Predictive Forecast Model

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    (Publication under review, Best Paper Award at AEIT-21)
    - Validated Bitcoin price predictions using the ARIMA method, achieving a forecasting accuracy of approximately 92% for predicting prices of major cryptocurrencies, including Bitcoin, Ethereum, and Litecoin.
    - Optimized the polynomial trend forecasting model to yield an R2 value of 0.7915, explaining about 80% of price variations over time.

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