Machine Learning Engineer / Data Scientist

Machine Learning Engineer / Data Scientist
ID : 1300
Education level  : Post graduate
Work experience level  : Intermediate- (2-4 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
Profile description
  • An Enthusiastic and focused post graduate with strong inclination towards Data Science and Machine Learning.
    • Extensively worked on Python 3.x (NumPy, Pandas, Matplotlib, and Scikit-learn)
    • Experienced with machine learning algorithms.
    • Experience in visualization tools like Tableau Desktop for creating dashboards.
    • Experience in Deep Learning (CNN, DNN) with an understanding of ANN models.
    • Experience in building pipeline and deploying ML models on Vertex AI GCP.
    • Experience in building ETL pipeline using Azure Databricks.
    • Extensively worked on ReactJs, NodeJs.
    • Used the version control tools like GitHub, GitLab.
    • Analytic Tools: Anaconda (Jupyter Notebook, VS Code, Google Colab)
Work experience In details :
Job position
Job description

Machine Learning Engineer - Automaton Ai Infosystem Pvt Ltd - (April 2022 - Present)

  • Working on ETL pipeline using Azure Databricks.
  • Worked ML model deploying and pipeline building on Vertex AI.
  • Worked on React JS.
  • Song Popularity Prediction
    • Understating Dataset
    • Performing EDA Analysis
    • Pre-processing Data with various techniques – Missing Value Treatment, Outlier Treatment, Label Encoding, Correlation Treatment, Featuring Scaling & Skewness Treatment, etc.
    • Comparative Study of 7 different Classification Model.
    • Creation of basic API using Flask.
  • Adapt Ai Tool
    • Contributing towards Automating training of Classification models
    • Studying and configuring Hyperparameters & Parameters for models
    • Creating Flask Based API for Integration with ADAPT AI Tool.

Data Science Intern - Codespyder Technologies Pvt. Ltd - (January 2021 - January 2022)

  • Dataset Scraping
    • Worked on Python based codes for scraping, cleaning, and analyzing large datasets.
  • Training Machine Learning Models
    • Predicted Titanic Survival Rate using Decision Tree -Tuning, KNN, Logistic Regression models.
    • Digit Recognition, Alphabet Recognition using ANN
    • German Traffic Signal Sign Prediction using CNN
  • Hackerrank Certifications
    • ★★★★★ Badges in Python
    • ★★★★★ Badges in SQL
Hard skills
  • Tableau Desktop
  • Deployment Using Flask
  • Python for Data Science
  • Advance Excel
  • Machine Learning
  •  Vertex AI
  •  Keras
  • SQL
  • Data Visualization libraries
  • TensorFlow
  • Data Blending
  • Exploratory Data Analysis
  • Azure Data Bricks
  • React JS
  • Spark ML
Soft skills
  • Certifications
    • DataScienceArchitectMaster’s -Intellipaat.
    • Python for Data Science – IBM.
    • R for Data Science - IBM & Intellipaat.
    • Tableau Desktop Training -Intellipaat
    • Machine Learning - Intellipaat.
    • Women in Leadership –Career
    • Development College London.
    • Python Flask – Great Learning
Special notes

Tableau Desktop, Deployment Using Flask, Python for Data Science, Advance Excel, Machine Learning, Vertex AI,  Keras, SQL, Data Visualization libraries, TensorFlow, Data Blending, Exploratory Data Analysis, Azure Data Bricks, React JS, Spark ML

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