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Data Science Internship in Hyderabad at Aptagrim Consulting LLP

Hyderabad

Start Date Duration Stipend Posted On Apply By
Immediately
3 Months 10000 /month 20 Feb'20 21 Feb'20
Internship
Internship
About Aptagrim Consulting LLP (http://aptagrim.com/)
Aptagrim is a data science consulting company offering services in data analytics, machine learning, and IoT cloud computing.
About the internship
Selected intern's day-to-day responsibilities include:

1. Use statistical methods and models to analyze trends in diverse data sets
2. Build scalable predictive models and help the data science team scale our work in one or more industries
3. Translate objectives into clear problem statements and work on actionable goals with the data science team
4. Delve deep into diverse and unstructured data to drive meaningful insights
# of Internships available: 2
Skill(s) required Machine Learning, Computer Vision, Neural Networks, Natural Language Processing (NLP) and Deep Learning
Who can apply
Only those candidates can apply who:
  1. are available for full time (in-office) internship
  2. can start the internship between 20th Feb'20 and 21st Mar'20
  3. are available for duration of 3 months
  4. have relevant skills and interests
Other requirements
  1. Must have trained in data science, predictive modeling, machine learning, etc.
  2. Should have demonstrable experience in applying data science tools/techniques to business problem statements
  3. Should have good skills in Python and R
  4. Should have knowledge in linear regression and its variations, logistic regression, KNN, Naive Bayes, decision trees and its variations, KMeans, hierarchical clustering, etc.
  5. Should have a good understanding of topics such as data preprocessing, visualizations (ggplot2), cross-validation, ensemble modeling, etc.
  6. Should have a basic understanding of the mathematics (linear algebra, calculus) and statistics (descriptive, inferential) behind machine learning algorithms
Perks
Certificate, Letter of recommendation, 5 days a week, Free snacks & beverages.

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