data science intern Resume Examples

You’ve almost completed your degree and are ready to develop visualizations and analytical tools designed to help a company’s management team understand and use your data to increase profits. However, no matter how talented you are at Python, TensorFlow, and SQL, you may not get the internship without a clear and precise data science intern resume. Most companies use automated software to sift through resumes looking for job-specific keywords before forwarding the matches to a recruiter or hiring manager for a possible interview. Your resume needs to show your level of education, area of study, and experience you’ve gained doing class projects. It needs to tell of your strong decision-making skills, leadership potential, creativity, and excellent ability to report your data analysis to others. Our resume sample will help you create a scannable document that proves you have the skills for the internship. By using our professional tips, templates, and expert writing advice, you increase your chances of getting an interview for that position you want.
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Andrew Smith

287 Custer Street, Hopewell, PA 00000
[email protected]
(000) 000-0000

Professional Summary

Innovative, ambitious, forward-thinking Data Scientist with over 2 years of experience in the area of 
  • Good statistical and programming skills with the ability to work effectively with complex data
  • Strong programming skills in Python, SQL, Linux
  • Good Analytical, interpersonal and communications skills and proactive attitude
  • Good communication skills, with an ability to make advanced analytics concepts accessible to non-technical team members
  • Strong verbal and non-verbal communication skills, fluency in spoken and written English
  • Strong follow-through skills and acute attention to detail

Employment history

Data Science Intern, Huels Group. Ashleybury, Florida
Apr. 2020 – Present
1. I worked on the live CC-TV footage data using the Computer Vision techniques
2. Integrate multiple Screen cc-footage video data
3. Working on computer vision, image processing algorithms implementation, and testing
4. Work on image processing & computer vision
5. Work on object recognition and tracking, image registration, image calibration, and correction
6. Work on image processing algorithms, pattern recognition methods, and rule-based classifiers




Python Developer, Parker, Lynch and Jacobson. Haroldborough, Washington
May. 2019 – Jun. 2019
  • Correct errors by making appropriate changes and rechecking the program to ensure that the desired results are produced.
Organiser, Heathcote LLC. West Freddyfurt, New Jersey
Jan. 2019 – Feb. 2019
Key Objectives

  • To provide participants with an in-depth picture of the state-of-the-art in new and emerging areas of Multimedia Processing and Analysis
  • To provide research and application-oriented learning for a secure and healthy society using intelligent systems
  • To impart hands-on sessions on tools for biometrics, biomedical engineering, and intelligent multimedia
  • To provide the academic body of knowledge on IT-enabled transformation in public services

Education

Eastern D'Amore, New Nedborough, Indiana
B. Tech - M. Tech : 8 GPA, Data Science, Present
Western Bogan, Champlinville, Louisiana
Senior Secondary : 96.5%, Physics , Chemistry , Maths , Information Technology, Mar. 2018
East Schiller University, Skilesstad, South Dakota
Secondary : 10 GPA, Oct. 2016

Skills

Image Processing
Experienced
Python
Experienced
Machine Learning
Skillful
Data Structures
Experienced
Java
Skillful
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More Job Descriptions for data science intern Resumes

1

data science intern

  • Worked as a python developer.
  • Worked on data pre-processing , experience with database systems and AWS services.
  • Gained knowledge on the basics of Natural Language Processing.
  • Was exploring and figuring out solutions to analyse 1.5 TB of data.
2

data science intern

  • Learnt Python from scratch
  • Worked with various Machine Learning algorithms to create the best working models 
  • Got familiar with data visualization and performed data analysis on multiple projects 
  • The project involved conducting Sentiment Analysis of customer feedback from Delta Sky Club’s across various cities in the USA through the use of Machine Learning techniques. 
3

data science intern

  • Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.
  • Utilized Web scrapping technique to extract and organize data.
  • Prepared reports through data cleaning, data visualization, and writing insights
  • Updated data streamlining processes , resulting in 20% redundancy reduction.
4

data science intern

  • Worked on a project to automatically scrape the specific elements from different course websites.
  • Used Supervised Machine Learning models to classify course-related content on the website.
  •  Latent Dirichlet Allocation was used for topic modeling to help identify the key drivers of these Sky Clubs (such as Food/Beverages, Friendliness of Staff , Service, etc) that aided in attaining high customer satisfaction ratings.
  • Random Forest and XGBoost models were used for detecting overall feature importance to help determine factors that had a significant impact in helping Delta achieve superior NPS scores.
5

data science intern

  • Developed new algorithms, tested and improved existing algorithms that forecast electric load in smart grid, such as Neural Networks, Generalized Linear Models, and time series models.
  • Identified inefficiencies in the implementation of machine learning models after ETL and visualizing of raw unstructured data.
  • Problem Setter 
  • Created quizzes, Minor and Major Projects for students 
1 2 3 … 7

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