Km vijay Lakshmi

Km vijay Lakshmi

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Bengaluru, Karnataka, India

Contact Km regarding: 
Flexible work
Starting at INR2k/hour ~USD20.9/hour
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Résumé


Jobs verified_user 0% verified
  • Alignerr
    Junior Data Scientist
    Alignerr
    Jan 2025 - Jul 2025 (7 months)
    Performed data labeling and annotation for AI/ML models using Python. Utilized Python scripts to automate parts of the labeling process, improving efficiency. Worked with structured and unstructured datasets, ensuring high-quality annotations. Collaborated with teams to enhance dataset quality for machine learning applications.
  • N
    Junior Developer
    Naga Global Technology
    Jan 2023 - Jun 2024 (1 year 6 months)
    Developed predictive models using machine learning, NLP, and statistical analysis to drive business insights. Designed optimization algorithms and data visualizations to extract insights from large datasets. Applied feature selection algorithms to improve prediction accuracy in business-critical applications. Built and optimized databases (PostgreSQL, MySQL, MongoDB) for efficient data storage and retrieval. Worked closely with frontend developers to ensure smooth API and backend integration. Implemented advanced statistical techniques such as regression, clustering, PCA, and forecasting. Utilized Git for version control and collaborated with cross-functional teams to enhance project outcomes.
Education verified_user 0% verified
  • Manipal Academy of Higher Education
    Master of Engineering in Artificial Intelligence & Machine Learning
    Manipal Academy of Higher Education
    Sep 2021 - Jan 2023 (1 year 5 months)
    GPA: 7.7
  • S
    B.Tech in Computer Science & Engineering
    Shambhunath Institute Of Engineering and Technology
    Jul 2017 - Jan 2021 (3 years 7 months)
    GPA: 7.8
Projects (professional or personal) verified_user 0% verified
  • I
    Image to Cartoon Conversion Project
    Jan 2023
    Implemented image processing techniques such as edge detection, color quantization, and smoothing to transform images into cartoon-like renditions.
  • D
    Deep Learning Models for Survival Analysis
    Jan 2023
    Collected and preprocessed datasets, applied Data Imputation to handle missing values. Used Generalized Low Rank Models (GLRM) for feature extraction.
  • P
    Pneumonia Prediction Using Deep Learning
    Jan 2023
    Developed a deep learning model using CNN, VGG16, and KNN to analyze X-ray images. Achieved 96% accuracy through hyperparameter tuning and data augmentation techniques.