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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About
About me
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Predictive Modeling for Lead Conversion in EdTech
As a part of MIT’s Data Science and Machine Learning program, I engaged in a case study for ExtraaLearn, a fictional EdTech startup. Using Python, the project aimed to identify leads likely to convert to paid customers in the dynamic Online Education market. The analysis included a thorough exploration of lead attributes, employing Decision tree and random forest models to optimize ExtraaLearn’s resource allocation strategy.
Amazon Product Recommendation System
Developed within MIT’s Data Science and Machine Learning program, this project is focused on constructing a recommendation system using rank-based and collaborative filtering techniques. Leveraging the Amazon product reviews dataset, the objective was to enhance the online shopping experience by providing personalized product recommendations based on customers’ past ratings. Inspired by industry leaders like Amazon, the project aimed to contribute to the ongoing advancements in recommendation systems, addressing the challenges posed by information overload in the e-commerce landscape.
Rainfall Prediction Classifier with Python Machine Learning Models
In this project, I applied Python to create a rainfall prediction classifier using key machine learning algorithms. The project involves implementation of algorithms like linear regression, logistic regression, and more. The resulting comprehensive report evaluates model performance metrics.
Predictive Analysis for SpaceX Falcon 9 First Stage Landing Success
Embarking on the IBM Data Science Specialization capstone project, I delved into predicting the success of Falcon 9 first stage landings in SpaceX rocket launches. By harnessing the SpaceX API, I meticulously cleaned and analyzed the data, applying feature engineering and exploring various machine learning models. The project’s culmination involved determining the optimal predictive model, providing valuable insights for companies competing in the rocket launch market against SpaceX’s cost-efficient launches.
Data-Driven Insights for FoodHub’s Restaurant Demand Analysis
As a Data Scientist within MIT’s IDSS program, I utilized Python, pandas, and numpy to analyze FoodHub’s extensive dataset on online food orders in New York. The project focused on extracting insights into restaurant demand, customer preferences, and operational efficiency. Leveraging data on order details, customer ratings, and delivery times, the analysis provided actionable recommendations to enhance FoodHub’s services and improve the overall customer experience.
Bellabeat Data Analysis: Leveraging R for Insightful Exploration
In this case study, I navigated the intricacies of data analysis, showcasing proficiency in R programming. By delving into the company’s smart device usage data, I uncovered valuable insights that could shape Bellabeat’s marketing strategy. This project not only demonstrated my technical prowess but also highlighted my ability to translate complex data into actionable recommendations for informed decision-making within the health-tech industry.
Decoding Stock Performance: Analysis of Market Trends and Patterns
In this project, I delved into the intricate world of stock analysis, meticulously examining the performance of key players such as Tesla and GameStop. Leveraging advanced data science techniques, I extracted and processed historical share prices and quarterly revenue reports. Through detailed analysis, I unearthed trends and patterns within the financial data.
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.