BI Data Scientist/ Data Analyst

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BI Data Scientist/ Data Analyst
ID : 1809
Education level  : Master's degree
Work experience level  : Experienced- (4-7 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
2022-12-29
Profile description

Being an IT professional, I always seek to succeed in an environment of growth and excellence and earn a job which provides me job satisfaction and self-development and help me to achieve personal as well as organizational goals.

Knowledge of data wrangling, Sentiment and Semantic Analysis also familiar with models using—linear regression, logistic regression, ANOVA, ARIMA & SARIMA, Holt Winters, time series modeling. Also having Knowledge of statistical analysis, quantitative analytics, predictive analytics, Google and Web analytics, Preventive Maintenance using IOT , K Means and Random Forest algorithms. Knowledge of Retail, Manufacturing, Marketing, Hospitality,

Work experience In details :
Job position
Job description

Sr. BI Data Scientist / Data Analyst - Zresta Infotech - (April 2021 - June 2022)

Data Analyst/Scientist - Analytix Solution - (January 2020 - March 2021)

BI Data Analyst - Stridely Solutions - (January 2019 - December 2019)

Data Analyst - Indusa Infotech Services Pvt Ltd - (August 2016 - December 2018)

Hard skills
  • Power BI
  • Power Apps
  • R Studio
  • SSIS
  • SSAS
  • Deep Learning
  • Splunk
  • MicroStrategy
  • Python
  • Tableau
  • Data Mining
  • Data Analysis
  • SQL
  • Alteryx
  • NLP
  • Azure Stack
  • AI
  • AML
Soft skills
  • Language
    • Japanese
Achievements
  • Data Analytics and Data Platform in cloud platform for Technical Certification
  • Data Platform & Analytics Foundational for Data Platform Competency Certification
  • Advanced Analytics for Data Analytics Certification
  • Business Intelligence for Data Analytics Certification
  • SQL Server 2016 – Mission Critical & Hybrid Certification
  • Oracle Certified Web Component Developer (OCWCD) Certification
Special notes

Power BI, Power Apps, R Studio, SSIS, SSAS, Deep Learning, Splunk, MicroStrategy, Python, Tableau, Data Mining, Data Analysis, SQL, Alteryx, NLP, Azure Stack, AI, AML

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ID : 2040
Associate Engineer
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Intern
Education level: Bachelor's degree
Work experience level: Beginner- (internship- 1 year experience)
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