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Junior Data Scientist
Junior Data Scientist
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Junior Data Scientist

Sakshi Sharma's profile picture
Posted by Sakshi Sharma
0 - 1 yrs
₹3L - ₹5L / yr
Noida
Skills
skill iconData Science
skill iconMachine Learning (ML)
Data processing
Data validation
Data Visualization
skill iconMongoDB
skill iconPostgreSQL
  • Proficiency in Python: Expertise in Python, with hands-on experience using libraries like Pandas, NumPy, Scikit-learn, and TensorFlow.
  • Machine Learning Algorithms: Strong understanding of supervised, unsupervised learning, and deep learning algorithms (e.g., regression, classification, clustering, neural networks).
  • Data Preprocessing & Cleaning: Experience in handling and preprocessing large datasets, including cleaning, feature engineering, and data transformation.
  • Model Deployment: Ability to deploy machine learning models into production using frameworks like Flask, FastAPI, or cloud platforms (AWS, GCP).
  • Data Visualization: Proficiency in data visualization tools such as Matplotlib, Seaborn, or Plotly to communicate insights effectively.
  • Statistical Analysis & Probability: Solid foundation in statistics, probability, hypothesis testing, and A/B testing for data-driven decision-making.

Database Management: Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) for data retrieval and manipulation.

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Redcliffelabs

Founded :
2021
Type :
Products & Services
Size :
1000-5000
Stage :
Raised funding

About

N/A

Company social profiles

N/A

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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