Machine Learning Engineer

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Machine Learning Engineer
ID : 1810
Education level  : Bachelor's degree, 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 :
2022-12-30
Profile description

Motivated self-learning fresher looking for a job to build a strong base to attain my goal ‘Renowned career women’. Resolutely give in hard and smart work for our company’s success and willing to update myself with the required skills needed for our company’s growth.

Work experience In details :
Job position
Job description

Machine Learning Engineer - The Sparks Foundation- (April 2022 - May 2022)

  • Predicted the optimum number of clusters & represent it visually from "Iris" data in Python.

Business Analyst Intern - Technocolab software solutions - (April 2022 - May 2022)

  • Predicted used cars price using machine learning models & made a deployment using Django framework
Hard skills
  • Languages
    • Python, R
  • Packages/libraries
    • Pandas, NumPy, Seaborn, SciPy, Matplotlib, Scikit-learn, BeautifulSoup, ggplot2, NLP, plyr.
  • Machine Learning
    • Linear Regression, Logistic Regression, Decision trees, Random Forest, Association Rule Mining (Market Basket Analysis), Clustering (K-Means, Hierarchal), SVM (Support Vector Machines).
  • Statistical Tools
    • Time Series, Regression models, confidence intervals, principal component analysis,
      Dimensionality Reduction.
  • Visualization Tools
    • PowerBI
  • Databases
    • MYSQL, Mongodb
Soft skills
  • Self-Learner
  • Time Management
  • Teamwork
  • Problem Solving
  • Situation Adapter
Achievements
  • Attended a workshop on career development skills and effective presentation.
  • Attended conference HICAAMMC(19) and ACTSUM.
  • Participated in the intensive training program in effective communication and
  • placement preparation (TECH & BEC).
  • Topper of the school in SSLC with 96%.
  • Certifications
    • Introduction to Industry 4.0 and Industrial Internet of Things. - January -Apr 2021
    • Data Visualization with R - January 2021
    • Python program - June 2021 - beginner to advance
    • SQL for Data Science - June 2021
Special notes

Python, R, PowerBI, MYSQL, Mongodb, Machine Learning: Linear Regression, Logistic Regression, Decision trees, Random Forest, Association Rule Mining, Clustering (K-Means, Hierarchal), SVM, Time Series, Regression models, confidence intervals, principal component analysis, Dimensionality Reduction.

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Intern
Education level: Bachelor's degree
Work experience level: Beginner- (internship- 1 year experience)
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