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    Raghav Ramkumar CV 060424

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    Raghav Ramkumar CV 060424

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    Raghav Ramkumar CV 060424

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    of 1

    RAGHAV RAMKUMAR

    Piscataway, NJ | raghavrus@gmail.com | +1 (609) 852 9315 | linkedin.com/in/raghavr3553/


    EDUCATION
    Rutgers University - New Brunswick, NJ GPA: 3.958 / 4.0 May 2024
    Master of Science in Computer Science
    SSN College of Engineering, Kalavakkam, Tamil Nadu, India GPA: 8.773 / 10.0 May 2022
    Bachelor of Engineering in Computer Science and Engineering
    COURSEWORK
    Artificial Intelligence Foundations of Data Science Computer Vision
    Machine Learning Data Analytics Software Engineering
    Deep Learning Database for Data Science Data Structures
    Data Warehousing and Data Mining Operating Systems Distributed Systems
    TECHNICAL SKILLS
    Programming Languages: Python, C, C++, Java, JavaScript
    Machine Learning: PyTorch, Keras, TensorFlow
    Databases: SQL (MySQL 8.0), NoSQL (MongoDB)
    Web Application Development: Django, CSS, HTML, MySQL, XML, JSON
    Tools and Technologies: Git, Apache Tomcat, Maven, Kubernetes, Databricks (AWS, GCP, Azure)
    Certifications: Gold Medal in “Data Analytics with Python” and Deep Learning Certificate from NPTEL (IIT Kharagpur & Roorkee)
    WORK EXPERIENCE
    Chakra Network Solutions Pvt. Ltd. (IIT Madras Research Park)
    Data Analyst/Machine Learning Intern June 2023 - Aug 2023
    ● Conducted in-depth analysis of large multi-year electricity consumption datasets, including data cleaning, visualization, and pattern
    identification to set up deep learning networks for continuous learning
    ● Implemented unsupervised ML models (Local Outlier Factor and Isolation Forest) for anomaly detection in building energy data.
    ● Developed time series forecasting models (SARIMAX, hybrid ARIMA + SVM, Random Forest) to predict future electricity
    demands – incorporated features, enhancing their accuracy and robustness. Utilized data windowing and other preprocessing
    techniques to optimize input data for time series models.
    PROJECTS
    Simulation and Analysis of Routing Algorithms
    ● Simulated and performed numerous tests on routing algorithms to analyze the performance by varying parameters and topologies.
    Knowledge Graph from Textual Data
    ● Generated a corpus of 10,000 data points by curating data from CBSE, ICSE, and State board curricula.
    ● Utilized existing NLP Text-to-Text Transfer model to train a Subject-Verb-Object generative model with 74% accuracy rate.
    Internally Funded Project - BARF
    ● Engineered a device which enables the visually impaired to read text, detect objects and currency at a 90% lower price.
    ● Calibrated a deep learning model for currency detection using a data set of 10000 samples.
    ● Utilized the Google Cloud Vision API for Text and Object detection and implemented the project using Python and Raspberry Pi as
    the processor.
    Stock Portfolio Manager
    ● Designed a project that displays the current value of different stocks, while tracking the prices of interested stocks by forecasting
    the trends for the next 7 days.
    ● Configured a Time-Series model to predict different stock trends which operated at an 89% accuracy rate.
    Individual Safety System
    ● Awarded first place in Inter Collegiate Hackathon 2020 organized and conducted by Infosys.
    ● Built a Public Safety application that analyzes the location's safety by calculating the number of people present in a nearby radius at
    a specified time.

    PATENT & PUBLICATIONS


    PATENT - Blind Abled Reading Frame (BARF)
    ● Kshitij Sharma, Kiruthika J, Raghav R, Thenmozhi D. Blind Abled Reading Frame – BARF, Indian Patent 202241003724, filed
    January 22, 2022.
    Common Sense Evaluation
    ● Rishivardhan K., Kayalvizhi S, Thenmozhi D., Raghav R., and Kshitij Sharma. 2020. SSN-NLP at SemEval-2020 Task 4: Text
    Classification and Generation on Common Sense Context Using Neural Networks. In Proceedings of the Fourteenth Workshop
    on Semantic Evaluation, pages 580–584, Barcelona (online). International Committee for Computational Linguistics.

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