Sanjal C C

Experience

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  Vti (The Swedish National and Transport Research Institute)

  Feb 2018 - Jul 2018

  Master Thesis Student

  🔬 Expertise in analyzing visual latencies within virtual environments.🚗 Proficient in developing driver models to investigate driver behavior under visual latencies.📊 Skilled in quantifying and assessing variations in driver behavior caused by induced visual latencies.

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  Qvinzbridge Private Limited

  Oct 2018 - Oct 2019

  Research Engineer

  🔒 Extensive AI research in the security field: Conducted comprehensive literature survey, staying at the forefront of emerging technologies and trends in AI-based security products.🛠️ Advanced data wrangling for robust models: Utilized advanced data preprocessing techniques to transform raw data, enabling the development of accurate and reliable models for enhanced security applications.🤝 Innovation-driven collaboration: Worked closely with the engineering team to bring cutting-edge analytical prototypes to production, driving innovation and delivering impactful solutions to address complex security challenges. Show less

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  Indian Institute of Science (IISc)

  Oct 2019 - Jul 2020

  Research Assistant

  🔒Pioneered cutting-edge eye-tracking technology research, resulting in a deep understanding of the latest advancements in the field. Spearheaded the development of an indigenous eye-tracking device model, revolutionizing the design software product for CATIA.🛠️Seamlessly integrated analytical capabilities into the production process by leveraging extensive expertise in laboratory equipment. Conducted in-depth analysis of the eye-tracker using Unity, effectively identifying and eliminating blind spots to significantly enhance the device's accuracy and performance.🤝Led a comprehensive literature survey to gain an unparalleled knowledge base, empowering the team to create an innovative eye-tracking solution. The successful implementation of this technology will undoubtedly shape the future of eye-tracking research and open new possibilities for various industries Show less

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  Micelio Mobility

  Nov 2020 - Apr 2022

  Junior Data Scientist

  🔍 Led data analysis and anomaly detection initiatives in the automotive sector using sensor and time-series data.🤖 Employed cutting-edge machine learning to optimize sensor data for improved performance and reliability.🌐 Curated and aggregated sensor data from multiple vehicles, enabling comprehensive anomaly detection and valuable insights for quality control and maintenance.🚗 Pioneered customized drive cycle development for electric vehicles, enhancing testing efficiency and understanding performance.📈 Applied advanced statistical methods to extract meaningful features and gain in-depth insights.🔮 Spearheaded the development of a robust predictive model for accurate driving range estimation in electric vehicles.📊 Leveraged advanced linear regression techniques, with a focus on State of Charge (SOC) as a key feature.📚 Provided valuable insights into the expected range of electric vehicles, contributing to improved decision-making and planning for users and stakeholders Show less

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  Datafoundry.ai

  Apr 2022 - now

  Machine Learning Engineer

  💡 Developed neural network models by preprocessing and transforming raw data, conducting feature engineering, and utilizing frameworks like TensorFlow for implementation. Achieved an impressive 90% model accuracy through meticulous testing and validation.📊 Conducted sophisticated data analysis techniques, including disproportionate analysis, to uncover valuable insights in public health trends. Applied advanced machine learning methods such as Random Forest and Logistic Regression to build predictive models with a remarkable 90% accuracy in forecasting upcoming trends.🔬 Implemented a robust random forest model on a comprehensive pharmaceutical dataset for accurate disease severity detection. Employed advanced sampling techniques to address data imbalances, ensuring reliable predictions across all disease categories. Transformed raw data into actionable insights, empowering clients with invaluable recommendations for detecting and managing disease severity.🚀 Preprocessed and transformed data for compatibility with neural network models, enhancing model performance. Utilized feature engineering and selection techniques to optimize results. Developed and implemented models using frameworks and libraries like TensorFlow, achieving exceptional model accuracy of 90%.📈 Conducted data-driven analysis for comprehensive signal management, effectively determining signal generation and providing critical information for decision-making. Built predictive models using advanced machine learning techniques, resulting in an impressive 90% accuracy in predicting upcoming trends and issues, empowering stakeholders with valuable foresight. Show less