Data Science Internship Resume Samples

Data Science Internship plays a vital role in the life of aspirants wanting to make it big in the field of Data Science. Roles and responsibilities typically related to the role are listed on the Data Science Internship Resume as assisting in data collection, cleaning, and pre-processing; contributing to the development and implementation of machine learning models, and algorithms; engaging in exploratory data analysis, generating visualizations, collaborating with senior data scientists; and gaining hands-on learning and exposure to real-world applications of data science in fields like healthcare or technology.

Strong programming skills, proficiency in languages like Python or R, knowledge of data manipulation and visualization libraries; familiarity with machine learning concepts and frameworks, and effective communication skills are crucial. Candidates for Data Science Internships typically pursue or have completed a degree in computer science, statistics, or data science.

Data Science Internship Resume example

Data Science Internship Resume

Objective : A Data Science Internship provides an opportunity to gain hands-on experience in data analysis, machine learning, and statistical modeling. Interns work with real-world datasets to extract insights, develop predictive models, and contribute to data-driven decision-making processes.

Skills : Matplotlib, Tableau, Git, Communication Skills

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Description :

  1. Assisted with data visualization, storytelling, and presentations.
  2. Worked closely with engineering directors, product leaders, global sales strategy, and executive leadership to ensure solutions alignment with engineering, product, and go-to-market priorities.
  3. Worked with the VP of Operations, Kasey McKenney on Data Solutions initiatives, as well as the CEO and other key leaders to set a data-driven vision and direction for Predictive Analytics Definition and Commercialization at Upper Hand.
  4. Oversaw delivery and execution across the complete portfolio of SQL query management, ETL and ELT design and delivery, Data Analysis and Visualization, and Predictive Analytics solutions.
  5. Performed data analysis to extract useful business insights for a wide range of topics including product development and performance, market dynamics, consumer and audience knowledge, internal operations, and external research.
  6. Delivered presentations to senior leadership to explain and illustrate complex analytical findings.
  7. Utilized various data science tools and programming languages, enhancing their technical skills and preparing them for future roles in the field.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
BA Mathematics


Data Science Internship Resume

Objective : As a Data Science Internship, translated academic insights into practical applications, and coded and applied algorithms like the PC algorithm for both global and local causal discovery.

Skills : Data Analysis, Machine Learning, Excel, Power BI, Deep Learning

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Description :

  1. Moved beyond theoretical knowledge to practical coding proficiency.
  2. Demonstrated a strong grasp of the specified techniques.
  3. Independently navigated and applied complex econometric theories and models.
  4. Capabled of pioneering their projects from concept through to execution.
  5. Thrived in an environment where challenging conventional wisdom is the norm.
  6. Pursued an undergraduate/grad degree in Data Analytics, Mathematics, or related business discipline, opened to learning.
  7. Provided feedback and/or received feedback on performance.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
BSc Statistics


Data Science Internship Resume

Objective : As a Data Science Internship, prioritized and organized my own work to meet deadlines, contributed to the ideation and brainstorming processes required to develop game-changing products and programs in healthcare,

Skills : Data Visualization, SQL, Cloud Computing, Natural Language Processing, Excel

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Description :

  1. Analyzed healthcare data from disparate data sources.
  2. Developed data-driven objectives to assess risks and controls.
  3. Presented findings to leaders spanning a wide range of technical expertise.
  4. Translated research questions or business requirements into actionable work.
  5. Utilized orthogonal, D-efficient, and generator-based designs.
  6. Assisted in the development of predictive models using machine learning algorithms to analyze large datasets.
  7. Conducted exploratory data analysis to identify trends and patterns in data, providing insights for decision-making.
Years of Experience
Experience
0-2 Years
Experience Level
Level
Entry Level
Education
Education
MSc IS

Data Science Internship Resume

Objective : During a Data Science Internship, individuals engage in projects that require the application of data manipulation, visualization, and machine learning techniques. Interns are tasked with cleaning and preprocessing data, performing exploratory data analysis, and building models to solve specific business problems. This experience fosters a deep understanding of the data science lifecycle, from data collection to model deployment. Additionally, interns gain exposure to industry-standard tools and frameworks, which are essential for a successful career in data science.

Skills : Communication, Critical Thinking, Big Data Technologies, Exploratory Data Analysis, Keras

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Description :

  1. Responsible for developing a machine learning model to predict customer churn for a leading e-commerce company. 
  2. Responsible for building a data pipeline to automate the collection and cleaning of data from multiple sources. 
  3. Responsible for preparing data for analysis by 50%. 
  4. Responsible for creating a dashboard to visualize and track key performance indicators for a social media marketing campaign. 
  5. Responsible for helping the team to identify and address areas of improvement. 
  6. Responsible for developing a machine learning model to predict customer churn for a telecom company using Python and Scikit-learn.
  7. Responsible for building a recommendation system for a music streaming platform using collaborative filtering techniques in Python.
Years of Experience
Experience
0-2 Years
Experience Level
Level
Fresher
Education
Education
BSc Mathematics

Data Science Internship Resume

Objective : As a Data Science Internship, understood programming languages, such as SQL, Python, or R, and visualized data using data science tools such as Tableau and Power BI.

Skills : Natural Language Processing, Seaborn, Matplotlib, Tableau

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Description :

  1. Provided individuals with the practical experience, skills, and knowledge necessary for succeeding in the field. 
  2. Collaborated with cross-functional teams to gather requirements and understand data needs for various projects.
  3. Utilized Python and R for data manipulation, cleaning, and visualization to support data-driven initiatives.
  4. Implemented data preprocessing techniques to prepare raw data for analysis, ensuring data quality and integrity.
  5. Developed dashboards and visualizations using tools like Tableau and Matplotlib to present findings to stakeholders.
  6. Performed statistical analysis to validate hypotheses and support business objectives.
  7. Monitored model performance and suggested improvements as needed.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
BA Mathematics

Data Science Internship Resume

Objective : As a Data Science Internship, responsible for incorporating the Informatica Velocity approach for Mapping design, development, and Data Governance.

Skills : MySQL, PostgreSQL., Predictive Modeling, Power BI

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Description :

  1. Finding the right internship opportunity can be challenging, so conduct thorough research, learn the required skills, customize your application, and prepare for the interview process. 
  2. Collected, cleaned, and prepared large data sets for analysis.
  3. Collaborated with cross-functional teams such as engineers, product managers, and business analysts.
  4. Kept up to date with the latest developments in data science and machine learning.
  5. Developed and implemented statistical models to analyze data, and make predictions.
  6. Translated complex findings into compelling narratives.
  7. Supported data collection efforts by designing surveys and experiments to gather relevant information.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
MSc IS

Data Science Internship Resume

Objective : As a Data Science Internship, responsible for developing a MATLAB model of dialysis kinetics to determine optimal therapeutic regimes Designed a micro-bubble generator to analyze various dialysis air-trap prototypes.

Skills : Hadoop, Spark, Seaborn, Matplotlib, Tableau, Big Data Technologies

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Description :

  1. Responsible for seeing things differently than others with substance and relevance.
  2. Responsible for coding in Python or R for statistical modeling and integrations into BI platforms (desired, but not required).
  3. Responsible for coding in Python or R for statistical modeling and integrations into BI platforms.
  4. Responsible for assisting Investment Bankers in the development/interpretation of financial instruments for increased portfolio valuation and profit maximization.
  5. Responsible for implementing turbulence models for automobiles using Matlab.
  6. Responsible for developing charts/graphs specifically for PowerPoint presentations including sales points, firm history, and client-specific information.
  7. Responsible for communicating investment opinions through written reports and verbal comments to the equity sales force and institutional investors.
Years of Experience
Experience
0-2 Years
Experience Level
Level
Entry Level
Education
Education
BA Mathematics

Data Science Internship Resume

Objective : As a Data Science Internship, worked closely with the Commercial Team to provide data analysis and support for modeling initiatives, and supported data exploration to evaluate ideas for new analytics use case opportunities.

Skills : Tableau, Power BI, Data Visualization, Machine Learning, Statistical Analysis, Data Cleaning

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Description :

  1. Responsible for developing SQL coding abilities to extract data.
  2. Responsible for developing, documenting, and performing application testing and validation following certain procedures before the product is released.
  3. Responsible for surveying capabilities of IBM Watson, MapReduce, Hadoop, HDFS, and IBM Big Insights as part of a study project.
  4. Responsible for monitoring and tracking hardware devices and Virtual Memory (VM) Ware for the Capital One/IBM Project.
  5. Responsible for conducting a multifaceted analysis of the performance of automobile dealerships around the world and developing more effective means of increasing sales.
  6. Responsible for developing Java Auto-correction algorithm using Artificial Intelligence and Probabilistic Machine Learning techniques for SAP Ana, a digital assistant for enterprise.
  7. Responsible for implementing a Python-based distributed random forest via Python streaming.
Years of Experience
Experience
0-2 Years
Experience Level
Level
Fresher
Education
Education
MSc Computer Science

Data Science Internship Resume

Objective : As a Data Science Internship, communicated analysis findings to product, service, and business managers, and performed detailed analysis to deliver insight and support analytics initiatives.

Skills : Big Data Technologies, Visualization Tools, Natural Language Processing, Seaborn, Matplotlib, Tableau, Excel

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Description :

  1. Responsible for using Microsoft Excel and PowerPoint extensively to complete all other projects required by management.
  2. Responsible for working on AWS S3 buckets and intra-cluster file transfer between PNDA and s3 securely.
  3. Responsible for performing Assessments and Recommendations of commercial TEST/QA vendors to incorporate into feature-driven development in the Agile framework.
  4. Responsible for designing the specifications for the ETL process by gathering requirements from Subject Matter Experts (SMEs) and Business users.
  5. Responsible for conducting quality and productivity analyses to set operational standards, streamline procedures, and improving key performance indicators.
  6. Responsible for maintaining and updating the database for client and hospital contacts on customized company software.
  7. Responsible for providing critical data reporting supporting Medicaid Management Information System (MMIS) claims processing and management reporting for planning and control.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
BA Mathematics

Data Science Internship Resume

Objective : As a Data Science Internship, developed models to build solutions to tackle real-world business problems, and interacted with product and service teams to identify questions and issues for data analysis and experiments.

Skills : Data Analysis Tools, Database Management, Machine Learning, Data Visualization, Statistical Analysis

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Description :

  1. Communicated analysis findings to product, service, and business managers.
  2. Sought to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability in Data Mining.
  3. Helped navigate the internship experience.
  4. Ensured 360-degree support and engagement.
  5. Worked on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling, and visualization.
  6. Developed models to build solutions to tackle real-world business problems.
  7. Interacted with product and service teams to identify questions and issues for data analysis and experiments.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
BA Mathematics