G

Gopi chand

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Bengaluru, Karnataka, India

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Résumé

Jobs verified_user 0% verified
  • L
    AI/ML Engineer
    Linkeye
    Sep 2025 - Current (10 months)
  • Unified Mentor Private Limited
    Data Analyst Intern
    Unified Mentor Private Limited
    Aug 2024 - Oct 2024 (3 months)
    • Optimized inventory analysis using advanced Excel, leading to 12% revenue growth by reducing overstock. • Prepared and tested benchmarks for inventory models, optimizing data models to enhance real-world performance, which led to a 17% increase in reporting efficiency and revenue. • Managed data annotation for customer segmentation using SQL and Excel by ensuring high-quality data for model training with cross-functional teams, leading to a 23% reduction in product return rates. • Automated performance tracking dashboards using Python, increasing reporting efficiency and contributing to a 17% revenue increase.
Education verified_user 0% verified
  • Vellore Institute of Technology
    M.tech Integrated
    Vellore Institute of Technology
    Sep 2020 - May 2025 (4 years 9 months)
Projects (professional or personal) verified_user 0% verified
  • A
    Advertisement Click Prediction
    Jan 2024 - May 2024 (5 months)
    • Developed a recommender system using machine learning algorithms,
  • H
    Helmet Detection Model
    Jul 2023 - Dec 2023 (6 months)
    • Created a deep learning model using MATLAB and C++ for helmet detection in images and videos, achieving a 92% detection accuracy rate and improving safety monitoring by 20%. • Iterated on neural network architectures based on failure case analyses, leading to a 15% improvement in model accuracy and performance. • Managed the data annotation process and developed algorithms for synthetic data generation, producing realistic helmet usage patterns that enhanced model training and contributed to a 25% reduction in false positives.
  • R
    Real-Time Traffic Tweets Categorization
    Dec 2022 - May 2023 (6 months)
    • Designed and implemented efficient data pipelines for real-time tweet processing, significantly improving data flow and reducing latency by 30%. • Developed a tweet categorization system using LSTM networks, achieving 95.96% accuracy and enhancing the precision of traffic-related tweet classifications. • Integrated Elasticsearch for real-time traffic monitoring, which improved data retrieval speed by 25% and ensured robust model performance with well-curated benchmarks.