Data Scientist

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Data Scientist

ID : 1815

Education level : Bachelor'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 :

2023-01-01

Good Experience in EDA (Exploratory Data Analysis), Training and Testing.
Experience in Data Pre-processing, Dimensionality Reduction Techniques like PCA and feature engineering.
Exposure in defining business problems, work with & manipulate data, develop data science and analytical algorithms & solutions, and develop analytical models into production environments.
Extensive hands-on with Regression and Classification Techniques.
Basic knowledge of Cloud Deployment.

Data science intern - Skill Lync - (July 2022 - Present)

Working on different ML and AI based projects
Using various ML algorithms and performing accuracy scores and prediction.

Machine learning intern - Ineuron.ai - (August 2022 - Present)

Working in sales and human resources domain related data.
Cleaning the data and predicting the accuracy score.

Sr. Technical Recruiter - CES Pvt Ltd - (July 2021 - present)

Handling various IT and Non- IT requirements.
Sourcing and screening the candidates using various job boards and ATS.

Talent Acquisition Coordinator - TTEC, Ahmadabad (Contract) - (October 2020 - June 2021)

Worked for domestic recruiting process.
Posting the jobs in Naukri platform.
Sourcing and recruiting the candidates and help them Onboarding process

Program coordinator - Tekwissen, Visakhapatnam - (January 2020 - September 2020)

Recruiting the candidates as per the client requirement in USA.
Worked with various IT, Pharmaceutical clients (like Amazon, Raytheon, Xpedia, Relx, and State of GA).
Sourcing through different ports like Ceipal, LinkedIn, Sixth sense, X-Ray, Prophet-II and Google search.

Programming languages
- Python, Matlab
Libraries
- Pandas, Numpy, Seaborn, Scikit-learn, Matplotlib.
Database
- MySQL
ML Algorithms
- Linear/Logistic Regression, Clustering, Boosting, Decision tree, Random
  forest, SVM, KNN.
Data visualization
- Tableau, Power Bi, Python.
Data Engineering
- EDA, Data Preprocessing.

Master excels for Data science
- LinkedIn
Recruiting talent through social media
- LinkedIn
Talent sourcing
- LinkedIn
Landscaping architecture and site planning
- IIT Kharagpur
Sales Management
- Skill India

Programming languages: Python, Matlab | Libraries: Pandas, Numpy, Seaborn, Scikit-learn, Matplotlib | Database: MySQL
| ML Algorithms: Linear/Logistic Regression, Clustering, Boosting, Decision tree, Random
forest, SVM, KNN | Data visualization: Tableau, Power Bi, Python | Data Engineering: EDA, Data Preprocessing.

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