A Data Science Intern is a student or graduate who wants to take up a career as a data scientist. To learn the skills, and gain knowledge of the field the intern undertakes the following tasks mentioned on the Data Science Intern Resume – collecting data from all kinds of sources, from web SPIs to internal databases encoded in SQL; navigating datasets; using algorithms and programming for solving problems and to apply treatments, filters, and conditions for data; creating meaningful data visualization and communicating on findings to the Data Scientist.
To excel in this role, the intern should possess the following skills – engineering skills, knowledge of machine learning concepts; business communication skills; statistical and programming skills, familiarity with SQL and other programming languages, and expertise in statistical software. Most of these roles are undertaken by graduates from Engineering or Computer Science or Statistics stream.
Objective : Aspiring Data Science Intern with 2 years of hands-on experience in data analysis, predictive modeling, and statistical methods. Proficient in utilizing Python and SQL for data manipulation and analysis, along with a solid foundation in machine learning techniques. Eager to leverage analytical skills to uncover insights and support data-driven decision-making in a dynamic team environment.
Skills : Python Programming, R Programming, Data Visualization, Sql Databases
Description :
Assisted in data collection, cleaning, and preprocessing for analysis.
Optimized runtime for several data processing programs, achieving up to a 25% reduction in execution time.
Standardized coding practices across multiple data modules to enhance collaboration.
Analyzed large datasets of customer responses to derive actionable insights.
Created SAS scripts to extract customer data from extensive repositories.
Designed models to predict customer response patterns based on historical data.
Conducted probability analyses to assess various response scenarios.
Experience
0-2 Years
Level
Entry Level
Education
M.S. Data Science
Data Science Intern Resume
Objective : Dedicated Data Science Intern with 5 years of extensive experience in data analysis, predictive modeling, and machine learning. Skilled in Python, R, and SQL for efficient data manipulation and insights generation. Committed to applying analytical expertise to drive data-informed decisions and enhance business strategies in a collaborative environment.
Skills : Big Data Tools, A/b Testing, Data Cleaning, Data Wrangling, Pandas Library
Description :
Engaged in a Data Science Internship at Swiss, focusing on data collection, analysis, and interpretation within the Group Underwriting Strategy department.
Analyzed project requests from senior management to develop actionable strategic plans.
Managed project timelines and team roles, ensuring successful project execution.
Conducted thorough reviews of data records for accuracy and completeness.
Enhanced internal social media usage for effective communication.
Utilized econometric models and machine learning techniques to analyze a database of 48 million data points, identifying key drivers of change.
Discovered trends in claim frequency and severity through comprehensive data analysis using Excel, STATA, and R Studio.
Experience
2-5 Years
Level
Junior
Education
M.S. Data Science
Data Science Intern Resume
Objective : Enthusiastic Data Science Intern with 2 years of practical experience in data modeling, statistical analysis, and machine learning applications. Adept at leveraging Python and SQL to extract insights and support data-driven strategies. Passionate about using analytical skills to solve complex problems and contribute to innovative projects within a collaborative environment.
Skills : Natural Language Processing, Deep Learning, Cloud Computing, Git Version Control, Jupyter Notebooks
Description :
Developed predictive models for surety bond exposure risk, enhancing decision-making.
Utilized SAS EG and R to analyze repeated measures data with a non-normal error structure.
Employed beta regression with an AR1 covariance structure for model construction.
Delivered weekly presentations on statistical methodologies to non-technical team members.
Researched innovative approaches for modeling work completion percentages.
Applied basis splines for advanced modeling of project completion metrics.
Engaged in corporate social responsibility initiatives, including volunteering at Boston Food Bank.
Experience
0-2 Years
Level
Entry Level
Education
B.S. Data Science
Data Science Intern Resume
Objective : Data Science Intern with 5 years of proven expertise in data analytics, statistical modeling, and machine learning. Proficient in Python, R, and SQL for extracting actionable insights from complex datasets. Passionate about leveraging data-driven strategies to solve real-world problems and enhance decision-making processes within collaborative environments.
Skills : Numpy Library, Matplotlib, Seaborn, Data Processing, Parallel Computing
Description :
Contributed to a SaaS product that enables advertisers to analyze the impact of online campaigns on retail sales.
Engineered an interactive D3.js visualization tool for analyzing campaign parameters.
Utilized Python and R to clean and analyze large datasets from Vertica and MSSQL databases.
Designed a geolocation tool to optimize ad delivery zones around retail locations.
Assigned retail locations to households using OpenStreetMap routing data.
Provided analytical insights post-deployment using Shiny for interactive reporting.
Developed a pipeline for detecting anomalies in time-series data sourced from GPS signals.
Experience
2-5 Years
Level
Junior
Education
M.S. Data Science
Data Science Intern Resume
Objective : Dynamic Data Science Intern with 5 years of robust experience in data analytics and machine learning. Expert in Python, R, and SQL, capable of transforming complex datasets into actionable insights. Eager to contribute analytical skills to enhance data-driven strategies and foster innovation in a collaborative team environment.
Developed a comprehensive model development plan by analyzing the strengths and weaknesses of various machine learning algorithms.
Prepared and cleaned datasets in R, implementing feature engineering and exploratory data analysis (EDA) techniques.
Trained and evaluated multiple supervised learning algorithms to predict cardiac output from wearable device sensor data.
Applied feature selection methods like recursive feature elimination to optimize model performance.
Created custom prediction functions in R for integration into embedded systems.
Delivered weekly markdown reports summarizing analysis results for team discussions.
Utilized Markov modeling and time series forecasting to predict movement patterns in diabetes patients.
Experience
2-5 Years
Level
Junior
Education
M.S. DS
Data Science Intern Resume
Objective : With 5 years of hands-on experience in data science, I excel in predictive modeling, statistical analysis, and machine learning. Proficient in Python and SQL, I transform complex datasets into actionable insights. I am driven to leverage my expertise to enhance data-driven strategies and support innovative solutions within collaborative environments.
Converted Teradata scripts to Hive and Impala query languages for score calculations.
Implemented model scoring using Random Forest Classifier on PySpark to rank models.
Optimized batch processing of partitioned datasets, reducing model score calculation time.
Analyzed over 100 million records to uncover actionable insights.
Developed methods to unify user data from multiple cookie IDs.
Investigated power-law distributions in adID data.
Simulated user behavior through detailed forward modeling based on online activity data.
Experience
2-5 Years
Level
Junior
Education
B.S. Data Science
Data Science Intern Resume
Objective : Motivated Data Science Intern with 2 years of experience in data analysis, machine learning, and predictive modeling. Skilled in Python and SQL, I excel at transforming complex data into actionable insights. I am passionate about leveraging my analytical abilities to support decision-making and drive innovation within a collaborative team environment.
Skills : Data Architecture, Data Ethics, Version Control, Git, Apis
Description :
Analyzed telecom customer data to identify usage patterns and trends.
Prepared data sets detailing node performance metrics such as interface speed and CPU utilization.
Collected and analyzed historical data to predict peak CPU usage for the following day.
Developed predictive models in R for accurate forecasting of CPU utility.
Collaborated with a team to integrate predictive models into existing tools.
Analyzed geographical data to develop software for detecting traffic violations.
Created front-end visualizations using HTML, CSS, D3.js, and Leaflet.js to display data insights.
Experience
0-2 Years
Level
Entry Level
Education
B.S. Data Science
Data Science Intern Resume
Objective : Driven Data Science Intern with 2 years of practical experience in data analysis, predictive modeling, and machine learning. Proficient in Python and SQL for effective data manipulation, and skilled in creating visualizations that facilitate data-driven decisions. Excited to apply my analytical capabilities to support innovative projects and enhance team outcomes.
Skills : Data Visualization Tools, Data Analysis Skills, Hadoop, Spark, Time Series Analysis
Description :
Performed distributions on a 16 GB database, utilizing Hadoop and Tableau to analyze patient and physician data.
Built a predictive model for patient readmissions through data cleaning and machine learning algorithms.
Created heat maps and bubble maps with D3 to enhance data visualization for Covance requests.
Developed a collaborative filtering recommendation system using Mahout to suggest tests to patients.
Executed Twitter sentiment analysis on recent tweets to inform customer service improvements.
Designed an in-house analytics platform for comprehensive customer usage data visualization.
Implemented a custom algorithm for calculating customer health scores, enhancing service delivery.
Experience
0-2 Years
Level
Entry Level
Education
B.Sc. CS
Data Science Intern Resume
Objective : Data Science Intern with 5 years of comprehensive experience in advanced analytics, predictive modeling, and machine learning. Proficient in Python, R, and SQL, I excel at deriving insights from complex datasets. Passionate about applying analytical skills to optimize processes and drive strategic decision-making in a collaborative environment.
Skills : Data Modeling, Business Intelligence, Statistical Modeling, Tableau, Power Bi
Description :
Contributed to targeted advertising initiatives as a data scientist for AT&T AdWorks.
Executed customer segmentation using K-Means clustering and advanced classification techniques.
Developed quantitative models to enhance targeting accuracy for diverse customer segments.
Implemented algorithms for predictive analytics and forecasting.
Managed Hadoop and Oracle databases, ensuring optimal performance and reliability.
Led an R&D project to extract structured records from unstructured negative news data.
Achieved an 88% reduction in manpower and 74% decrease in processing time compared to previous methods.
Experience
2-5 Years
Level
Junior
Education
B.Sc. Data Science
Data Science Intern Resume
Headline : Detail-oriented Data Science Intern with a strong foundation in statistical analysis and machine learning. Proficient in Python, R, and SQL, with hands-on experience in data visualization tools like Tableau. Eager to apply analytical skills to real-world problems and contribute to data-driven decision-making in a collaborative team environment.
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