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Data Scientist

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Data Scientist
ID : 1542
Education level  : Master's degree
Work experience level  : Beginner- (internship- 1 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
2022-12-26
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Profile description
  • Experience of Machine learning (ML) algorithms like Simple Linear Regression, Multiple Regression, Logistic Regression, Decision Tree Classifier, Decision Tree Regressor, Naïve Bayes (Gaussian NB), Support Vector Machine (Linear, Polynomial, Radial Basis Function, Sigmoid), Random Forest Classifier, Clustering (KMeans, Hierarchical, Agglomerative)
  • Data Visualization techniques with help of Matplotlib and Seaborn.
  • Experience in Python, Machine Learning, Deep Learning, Data Visualization techniques.
  • Skilled in libraries like Pandas, NumPy, ScikitLearn, Matplotlib, Seaborn, TensorFlow, Pytorch,Keras.
  • Basic knowledge of Data Visualization.
  • Self-motivated with good communication and presentation skills.
  • Good analytical and problem-solving skills.
Work experience In details :
Job position
Job description

Data Science Intern - Netzwerk Academy - (March 2022-June 2022)

  • Technologies used
    • Python
    • Machine Learning
    • Deep Learning
    • Computer Vision
  • Responsibilities
    • Learned python for Data science.
    • Learned basics of Machine learning, Supervised and unsupervised learning methods.
    • Working with NumPy, Pandas, Matplotlib, Seaborn, ScikitLearn and other libraries.
    • Done Exploratory Data Analysis on dataset.
    • Collecting, cleaning, transforming and analyzing the data.
    • Worked on different datasets.
    • Worked, learned and carried out projects on Data Science, Machine learning and Deep learning.

Data Science and Business Analytics Intern - The Sparks Foundation - (June 2022-July 2022)

  • Technologies used
    • Python
    • Machine Learning
  • Responsibilities
    • Learned python for Data science.
    • Learned basics of Machine learning, Supervised and unsupervised learning methods.
    • Working with NumPy, Pandas, Matplotlib, Seaborn, ScikitLearn and other libraries.
    • Done Exploratory Data Analysis on dataset.
    • Collecting, cleaning, transforming and analysing the data.
    • Worked on different datasets.

Data Science Intern - Technocolabs Softwires - (June 2022-July 2022)

  • Technologies used
    • Python
    • Machine Learning
  • Responsibilities
    • Learned python for Data science.
    • Learned basics of Machine learning, Supervised and unsupervised learning methods.
    • Working with NumPy, Pandas, Matplotlib, Seaborn, ScikitLearn and other libraries.
    • Done Exploratory Data Analysis on dataset.
    • Collecting, cleaning, transforming and analyzing the data.
    • Worked on different datasets.

Data Analyst/Junior Data Science Intern - Maxgen Technologies PVT.LTD - (July 2022-Present)

  • Technologies used
    • Python
    • EDA
    • MS Excel
    • MySQL
    • Power BI
    • Machine Learning
  • Responsibilities
    • Working on Datasets using Pandas, Numpy, Seaborn, Matplotlib.
    • Done Exploratory Data Analysis on Datasets.
Hard skills
  • Programming Languages:
    • Python
    • Machine Learning
    • Deep Learning
    • Pandas
    • NumPy
    • Seaborn
    • Matplotlib
    • ScikitLearn
    • ANN
    • CNN
    • RNN
    • Py Torch
    • Keras
    • TensorFlow
    • OpenCV
  • Databases:
    • MySQL
    • MS Office
  • Visualization Tools and Libraries:
    • Basic understanding of Matplotlib
    • Seaborn
  • Platforms And Misc:
    • Anaconda
    • Spyder
    • Jupiter Notebook
    • Google Collab
    • Microsoft Windows 10
Soft skills
  • Self-motivated
  • good communication
  • presentation skills
  • Good analytical and problem-solving skills
Achievements
  • Apr 2022 – Deep Learning and Computer Vision from Netwerk Data Science Academy an ISO certified institute.
  • Mar 2021 – Machine Learning course from Seven Mentor Training Services, Pune.
  • Dec 2020 – Python Programming course from Seven Mentor Training Services, Pune.
Special notes
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