Data Science Intern Resume Examples

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.

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. 

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.

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.

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 

data science intern

  • Data Science & ML – Have done data wrangling/munging/slicing, cleaning and translation, dealt with missing data, treated outliers to deliver impact analysis.
  • Data Visualization – Delivered insightful dashboards and reports which was used by stakeholder to take decisions.
  • Feasibility Analysis – Directly coordinated with Client partners to understand business requirements, convert them into business use-cases and analyze their technical implementation feasibility.
  •  Advanced Analytics – Hands on and well-versed with advanced analytical concepts like Probability, Distributions, Sampling & Estimations, Hypothesis Testing. 

data science intern

  • OOP using Python 3, PDF Mining using pdfminor.six. PDF Vectorization, Data Analysis and Dataframe manipulation using pandas and Matplotlib. Worked with small sized team collaborating on bitbucket.
  • Good programming experience on Angular 6, Javascript.
  • Having experience on integration of third party libraries like YouTube, firebase, Firebase realtime database, web site hosting into Google firebase etc 
  •  Coding, Analysing and optimising in Django framework.  

data science intern

  • Research, document, and select alternatives approaches for modelling Vibration data
  • Explore feasibility of contact tracing via Geo-location tagging
  • Data gathering, cleaning and re-shaping for fitting model
  • Exploring alternate approaches for modeling vibration data such as scaleograms, spectral analysis, etc.

data science intern

  • Articulate storytelling to business & product stakeholders
  • Share knowledge and insights with the Data Science team
  • Communication: Demonstrated ability to distill and share complex technical concepts to a less technical audience
  • Experience with visualization tool such as Tableau as well as with Python (matplotlib and seaborn)

data science intern

  • Creditmate, is a fin-tech startup based in Mumbai. It is registered under the name of Urja Money Private Limited. Creditmate provides loans on second hand two-wheelers in Mumbai and Pune.
  • Worked as a Data Science Intern for two months and my project was to analyze the credit risk involved and come out with helpful insights to minimize the losses incurred.
  • Creditmate extends loans to the financially backward sections as well, who are not eligible for loans in a bank and don’t have a CIBIL score to judge the risk involved in the transaction. So, using historical data of the company, the goal was to come up with a model which would predict the risk involved in a particular loan.
  • This involved assessing the loan applicant based on a certain amount of features, and then judging the asset (i.e. the two-wheeler) based on certain different amount of features and then combining the result to come up with a business oriented score to differentiate between a high risk and low risk customer.
  • Initially, did research on domain knowledge to come up with a list of parameters to be used to assess the applicant and the vehicle, this involved a lot of brain-storming and then used web-scraping to get the historical data needed as the training set for the model.
  • Used Random Forests and Decision Trees along with Logistic Regression to come up with a formula to predict the custom score for the company.
  • Was able to successfully evaluate the customer with an accuracy of 89%, however the internship was two months long so the solution could not implemented during that phase.