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  • Marsh McLennan Companies
  • London
  • LinkedIn in/eagvw

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Achievements

Achievement: Quickdraw

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AndresGVW/README.md

Andres Gonzalez von-Walter

About Me

I am passionate about Data workflows, Data Efficiency, Data Transformation and Visualization. Even though my core career is Finance, what keeps me busy in my free time is a growing interest in Machine Learning, Artificial Intelligence and ML Ops.

Portfolio Highlights

The following are the main projects that I worked on during the MIT - Applied Data Science certificate

Project 1: Used car price prediction

  • Description: The Indian market currently has a high demand for used cars. A tech start-up aims to capitalize on this trend. The shift in demand towards the pre-owned market is evident, with some car owners choosing to replace their old vehicles with used cars instead of buying new ones. The pricing and supply of used cars are uncertain and influenced by factors such as mileage, brand, model, and year. Setting the correct price for a used car is challenging for sellers, making an effective pricing model crucial for success in the market.

  • Technologies Used: Decision Trees | Random Forest | Linear Regression | Hyperparameter Tunning | Exploratory Data Analysis

  • GitHub Repository: Used Car Price Prediction Jupyter Notebook

Project 2: Boston House Price Prediction

  • Description: This project involves predicting house prices in the Boston metropolitan area based on the features of the property and its locality using regression techniques.

  • Technologies Used: Exploratory Data Analysis | Visualization | Multicollinearity | Linear Regression | Regression Techniques

  • GitHub Repository: Boston House Price Prediction Jupyter Noebook

Project 3: FoodHub Order Analysis

  • Description: A food aggregator company in New York offers access to multiple restaurants through a smartphone app. The data provides different features for each order. I performed univariate and multivariate exploratory data analysis to identify the most valuable correlation to revenue, including preparations and delivery time, popularity, cost/profit ratio and client ratings.

  • Technologies Used: Exploratory Data Analysis | Visualization | Statistics

  • GitHub Repository: FoodHub Data Analysis Jupyter Notebook

Skills

  • Programming Languages: Python | VBA
  • Data Analysis and Visualization: Pandas | Seaborn | Matplotlib | Qlikview | Power BI
  • Machine Learning: Statsmodels | Sklearn |
  • Other relevant skills: Data Strategy | Stake Holder Engagement | Cross-functional Team Leadership |

Work Experience

  • Marsh McLennan Companies | Senior Finance Business Partner | 2020 - Current
  • Jardine Lloyd Thompson Group plc | Finance Operations Director - Latin America | 2018-2020
  • Jardine Lloyd Thompson Group plc | Employee Benefits - various financial reporting and implementation roles | 2013-2018

Education

  • Applied Data Science Program (2023) - MIT Professional Education
  • Digital transformation (2019) - MIT Professional Education
  • Analytic Techniques for Business (2016) - Duke University
  • Certificate in Computer Science and Programming CS50 (2015) - Harvard Extension School
  • Computational Thinking and Data Science (2013) - MIT Professional Education
  • Business Administration and Hospitality Management - Externado de Colombia University, Bogotá, Colombia

Contact Me

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  1. MIT-ADSP MIT-ADSP Public

    MIT Applied Data Science Program

    Jupyter Notebook