University: Carnegie Mellon University – Heinz College
Program: Master of Information Systems Management – Business Intelligence and Data Analytics track
Instructions from Program:
Please submit an essay (approximately 1,000 words) describing your academic and professional background, your career goals, and how this program will help you achieve your goals. Essays may range in length from 800 to 1200 words. Content is more important than length for your essay. General Information regarding plagiarism and use of citations applies to all documents uploaded here.
Additional Information
Academic History
Relevant Courses
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Résumé & Essay(s)
Employment
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Video Assessment
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Résumé & Essay(s)
General Information for Résumé and Written Essays
All documents uploaded on this page should contain only true information and your own, original content. If you include a quote or text written by any other person or published in any printed or online format, you must surround the copied text in quotation marks (“) and indicate the original source of the text. Information reported on your résumé is subject to verification.
Additional instructions for writer:
Please see attached Personal Statement that I’ve written. I would like it re-written to sound more crisp and insightful in an analytical way, a strong introduction and conclusion, and to add depth to the narrative in a good flow.
Resume attached for reference.
Attached is also a document titled ‘MIT-ADSP_Brochure’ which provides details on a 12-week certificate course I’ve completed recently (certificate will be awarded on 9th January). This course is listed on my resume under Education. Providing this document to help add material in the personal statement.
Below is a list of projects completed in the MIT ADSP certificate program:
Project 1 (Oct-22):
Analyzing different aspects of Diabetes (Course- Foundations for Data Science). This project involves analyzing different aspects of Diabetes in the Pima Indians tribe
Skills and Tools- Exploratory Data Analysis, Data Visualization, Statistics.
Project 2 (Nov-22):
Predicting house prices in Boston and predicting hotel bookings cancellations (Course- Machine Learning). This project involves predicting house prices in the Boston metropolitan area based on the features of the property and its locality using regression techniques.
Skills and Tools: Linear Regression, Logistic Regression, kNN.
Project 3 (Capstone Project Dec-22):
Price Prediction of Used Cars using Regression. This project involves building a pricing model that can effectively predict the price of used cars and can help the business in devising profitable strategies using differential pricing.
Skills and Tools- Decision Trees, Random Forest, Linear Regression, Graphs and Networks, Hyperparameter Tuning.
Lastly, I’m also attaching a letter of recommendation submitted to another program by my first supervisor from my position as a Research Technician II at Baylor College of Medicine (position listed on my resume). This is to provide the writer with some insight on me as an individual, in case it helps in personalizing the essay more.
