Data Analyst

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Data Analyst
ID : 1306
Education level  : Bachelor'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 :
2022-12-01
Profile description
Work experience In details :
Job position
Job description

Data Science & Business Analytics Intern - Sparks Foundation

  • Worked on supervised and unsupervised machine learning algorithms.
  • Performed EDA and data pre-processing.
  • Data Visualization.
  • Model creation and evaluation

Industrial Internship - EsparkBiz Pvt. Ltd. (Remote)

  • Working with Python Frameworks (Flask And Django) and SQL
  • Preparing a Flask Application with Step-Up Forms and SQLite
  • Preparing various Database Designs and Diagrams for various management Systems
  • Working on Django’s Basic Projects
Hard skills
  • Python
  • SQL
  • Tableau,
  • Power BI
  • Cognos BI
  • Matplotlib
  • Seaborn
  • ggplot
  • MS SQL server
  • MongoDB
  • Exploratory Data Analysis
  • Data cleaning
  • Visualization
  • Feature seleTableau
  • Power BI
  • IBM Cognos
  • Advance Excection
  • Feature engineering
  • Machine learning
  • Anova
  • Probability
  • Regression
  • Different tests (T-test, Z-test, chi-square test)
Soft skills
Achievements
  • HackerRank Gold Badges in Python and SQL
  • Data Camp Certifications In SQL (Introduction, Joining Data, Intermediate SQL, Introduction To Relational Database, Functions For Manipulating Data In PostGre SQL)
  • Data visualization and communication with Tableau (Coursera)
  • Data Science with Python by IBM (Machine learning, analyzing data, visualization)
  • Spoken Tutorial (IIT Bombay) Certifications (Completion of RDBMS PostgreSQL, Python Training)
  • IBM Developer Skills Network Certifications (Predictive Modeling Fundamentals-I, Hadoop 101, Big Data 101)
  • AWS Graduate Academy (AWS Cloud Foundations, AWS Cloud Architecting, AWS Machine Learning)
  • Data Camp Certification in MongoDB (Introduction to MongoDB in Python)
Special notes

A Data Science & Business Analyst who has worked on supervised and unsupervised machine learning algorithms, EDA and data pre-processing, Data Visualization, Model creation and evaluation.

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