Zaid Abidi

Zaid Abidi

Cloud Intern - Graduate Engineer Trainee

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  • Timeline

  • About me

    Data Scientist at ZS Associates

  • Education

    • Vellore Institute of Technology

      2019 - 2023
      Bachelor of Technology - BTech Computer Science with specialisation in Artificial Intelligence and Machine Learning

      Activities and Societies: Geeks For Geeks Club - Core Member: Helped manage and organise blind coding contest Table Tennis Club - Captain: Lead and organised various tournaments Guest Speaker - Invited as guest speaker for AI 4 U conference held at VIT Won at Hash it our Debate Competion

    • G.D. Goenka Public School - India

      2012 - 2019
      High School Diploma Engineering Science

      Activities and Societies: Robotics Club: Built and programmed various robots Reader's Club: Active member Volunteered to help manage various events. Won at various events like debate and Table Tennis competitions.

  • Experience

    • LTIMindtree

      Feb 2023 - May 2023
      Cloud Intern - Graduate Engineer Trainee
    • Intellect Design Arena Ltd

      Jun 2023 - Apr 2024
      Data Scientist

      Intelligent Document Processing System● Aim: Elimination of human involvement in the handling and classification of substantial volumes of confidential documents.● Technology Used: Transformers, Word2Vec, Pytesseract, BERT, LayoutLM V1, JSON, RSS, Document Representation, Clustering techniques.● Results: Developed a production-ready model for an intelligent document processing system that automates document processing, reducing personnel expenditures by 100% and increasing time saved by more than 5000%.Customer Churn Prediction for Wealth Management● Aim: Develop a machine learning model to predict customer churn in wealth management, enabling proactive retention strategies.Technology Used:● Data Processing( pandas, NumPy), Data wrangling, cleaning, massaging techniques, PySpark (for large-scale data processing), Machine Learning,(Scikit-learn: logistic regression, SVM, random forest), feature importance, PyTorch, TensorFlow (for deep learning models like ANN, CNN, LSTM, BiLSTM, CNN+LSTM), XGBoost, Feature Engineering, Model Selection, Hyperparameter Tuning, Grid Search, Randomized search, AutoML Libraries (Optuna, Hyperopt, Raytune), Docker, Kubernetes, ROC AUC, Chi-square tests, correlation checks, AWS SageMaker, AWS S3, AWS ECR, Data visualization (Matplotlib, Seaborn) ● Results: Developed a model with 94.63% accuracy in identifying churn risk. This is expected to lead to an 80% reduction in customer churn, resulting in millions saved for the wealth management firm. Show less

    • ZS

      Apr 2024 - now
      Advanced Data Science Associate
  • Licenses & Certifications