Data Scientist

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Data Scientist
ID : 1652
Education level  : Bachelor's degree, Master's degree
Work experience level  : Associate- (1-2 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
2022-12-12
Profile description

Associate Data Scientist having 1 year of experience in machine learning, who can solve the complex business problems using Predictive Modeling, Data Processing, Data Analysis and Data Mining algorithms.

Work experience In details :
Job position
Job description

Associate Data Scientist - Gramener, Hyderabad - (October 2021 -till date)

Dubai Tourism – Visitor Segmentation.

  • Technology: Python, MS Excel, MS PowerPoint, Jupyter Notebook, Market Basket Analysis, Clustering.
  • Description: This project aims is to raise the awareness about Dubai in Global audience and attract the visitors to increase the spend also see what are the spend paths, most visited places in Dubai and on which things they mostly buy.
  • Roles and Responsibility: Worked as analyst. By understanding business problem first understand the data. Applying k -mean clustering to segment the visitors in different groups. Identify similarities in the clusters and make a group of them which shows same patterns labeled them.
  • Apply Market Basket Analysis to see if they spend on Merchant category 1 on which merchant category2 they would be likely to prefer.

 

Dubai Tourism- EIM All Regions.

  • Technology: MS Excel VBA.
  • Description: This Project base on impact of different event on GDP. Using VBA Macro, we have to create on excel output file in given format. Read the Data from specific input file and write that data into output file in target column applying formula with respective cells. This all process should be automated. Within one click we got our output file with desire formed.
  • Roles and Responsibility: Worked for creating the VBA script code for automate output file
Hard skills

Languages & software:

  • Python
  • SQL
  • Minitab
  • Tableau
  • Power BI

Office Tools:

  • MS Excel
  • PowerPoint
  • MS Word

Key Skills:

  • Python
  • DBMS
  • Statistics
  • Predictive Modeling
  • Machine Learning algorithms
  • Data Mining, Regression
  • Cluster Analysis
  • Market Basket Analysis
  • Sampling Techniques
  • Model Deployment
  • Data Visualization
  • Exploratory Data Analysis
Soft skills
Achievements
  • INDUSTRAIL TRAINING: CDAC from IACSD in Big Data Analytics.
  • CERTIFICATION: Microsoft Azure Data Scientist Associate.
Special notes

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