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Liya Jasmine

Liya Jasmine

Data Analyst

Talent
KozhikodeMember since August 6, 2026
PythonSQLExcelData CleaningExploratory Data Analysis (EDA)Feature EngineeringData PreprocessingMachine LearningDeep LearningComputer VisionGenerative AINumPyPandasScikit-learnTensorFlowKerasOpenCVFastAPIMatplotlibSeabornPower BIOpenAI APIStreamlitGitHub
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PythonSQLExcelData CleaningExploratory Data Analysis (EDA)

About

BCA graduate specializing in Artificial Intelligence & Robotics with hands-on experience in Data Analysis and Machine Learning. Skilled in Python, SQL, Excel, Power BI, data cleaning, exploratory data analysis (EDA), and data visualization, with experience developing dashboards and analyzing datasets. Strong analytical and problem-solving skills with a data-driven approach.

Experience

Data Science & Machine Learning Intern - Infotact Solution - Bangalore

(2026-05)

  • Developed ML, NLP, and computer vision solutions using Python, Scikit-learn, TensorFlow, and Transformers.
  • Built complaint classification and sentiment analysis models using BERT, Logistic Regression, and Random Forest.
  • Developed a Crop Disease Detection System using MobileNetV2 and TensorFlow.
  • Built FastAPI APIs and Streamlit applications for real-time model deployment.
  • Applied data preprocessing, feature engineering, model evaluation, hyperparameter tuning, and used Git/GitHub for version control.

Data Scientist Intern - Luminar Technolab - Kozhikode

(2025-06 - 2026-03)

  • Built and optimized ML/DL models using EDA, feature engineering, and hyperparameter tuning.
  • Developed Deep Learning and NLP solutions using TensorFlow, Keras, and Scikit-learn.
  • Performed data preprocessing, model evaluation, and performance optimization.
  • Deployed ML applications using Streamlit and created Power BI dashboards.
  • Worked on sentiment analysis, Generative AI, and OpenAI API integration.

Education

Bachelor of Computer Applications (BCA) - Artificial Intelligence & Robotics - Bharathiar University (2022 - 2025)

Skills

Data Analyst

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