Data Scientist

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Data Scientist
ID : 1234
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 :
2022-12-09
Profile description

I am Data Science Enthusiast who want to pursue a career in the field of Data Science and Machine Learning. Seeking a challenging position in reputed organization where I can learn new skill, expand my knowledge, and leverage my learning. To get an opportunity where I can make the best of my potential and contribution to the organization’s growth.

Work experience In details :
Job position
Job description

Data Science intern - AI variant (Bangalore) - (June 2022 - October 2022)

  • DS-Project: - Book Recommendation
    • Tags: EDA, Visualization, Analysis, Popularity Based Filtering, Model Based Collaborative Filtering, KNN, Streamlit Problem
    • Statement: - Generate the features from the dataset and use them to recommend the books accordingly to the users
    • Approach: - Data Pre-processing and Data Cleaning, EDA, Visualization, Merging Data sets, Model Building, Default Functions, Popularity base method, User Based Method, KNN model, Model Selection, Evaluation, Deployment using streamlit, Creating App for model.
    • Code: - https://github.com/vikramyewale/Book-Recommendation-System
  • DA Project: - Bank loan of Customers (Domain -Finance)
    • Tags: Excel, Power BI, Tableau, SQL
    • Approach: - Understanding the Dataset and KPI’s, Implementation of KPI’s using Excel, MySQL, Tableau, Power BI Creating Dashboard, Sub Dashboards & navigate them, using actions, Filters, DAX, Measures, Dynamic Title Change actions in
      Power-BI and Tableau.
    • Files:https://drive.google.com/drive/folders/1nSHXHO5gIYomPoH1DeVTQtnbowx_h2hJ

Technical Author-I - GGS Information and Services - (January 2022 - June 2022)

  • Analysing the input from product support (Engineering BOM, Engineering Change Management (ECM), and CAD Model) and
    planning the time for executing project.
  • Preparing the illustration and text page (Bill of material).
  • Doing regular communication with counterpart (through chat, mails, & phone) for any queries related to input.
  • Creating parts catalogue and sending parts catalogue PDF proof to the counterpart for review. Updating the parts catalogue as per the counterpart suggestion.
  • Publishing the particular parts catalogue in multiple languages as per counterpart requirements.
  • According to current engineering changes (Through Engineering Change Notification (ECN)/ Engineering Change Management (ECM), updating the parts catalogue regularly.
Hard skills
  • Programming Language
    • Database & ML Libraries
      Python, MySQL, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, TensorFlow, Streamlit.
  • Machine Learning & Deep Learning
    • Linear Models, Supervised Machine Learning, Unsupervised Machine Learning, Decision Tree, Ensemble Models, Random Forest,
      Support Vector Machine, K-Nearest Neighbors, Navin Bayes, Clustering Algorithm, Recommendation System, Association Rule,
      Statistics, Forecasting, Principal Component Analysis, Exploratory Data Analysis.
  • Platforms and Tools
    • Jupyter Notebook, Google Colab, MySQL, Tableau, Microsoft Power BI, Excel, MS Office, GitHub.
Soft skills
  • Good Team Player
  • Critical Thinking
  • Good communication skill
  • Time Management
  • Analytical Mindset
  • Problem solving
  • Creative Thinking
  • Project Management
  • Quick Learner
  • Data Analysis
Achievements
  • Participated in state level poster presentation competition avishkar
    • Arvind Gavali College of Engineering, Satara.
    • 2019
  • International conference on innovations and recent trends in engineering and science
    • ICIRTE 20.
  • Data Science Provided by ExcelR Solutions.
  • Data Analytics Provided by ExcelR Solutions.
  • Data Visualization Provided by IBM.
  • Machine Learning with Python Provided by IBM.
Special notes

Machine Learning & Deep Learning, Python, Jupyter Notebook, Google Colab, MySQL, Tableau, Power BI, Excel, MS Office, GitHub.

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