Fernando Maletski

Data Scientist
profile-image

Fernando Maletski

Data Scientist
  • email fernando.maletski@gmail.com
  • language fmaletski.com
  • github.com/fmaletski
  • phone +1 (201) 565-5596
  • place Hoboken, NJ

Hello! I'm Fernando Maletski, Data scientist with 2 years of experience designing and applying predictive statistical and machine learning models. I'm fluent in Python and the scientific stack, pandas, numpy, matplotlib, scikit-learn and PyQt and experienced using R for EDA and statistical analysis, and D3.JS to create beautiful interactive visualizations and dashboards. I've worked in all the stages of the data science process, from ETL and EDA, all the way to machine learning modeling and data visualization. My previous work experiences granted me a strong background in management and leadership.

demoEducation

Mechanical Engineering
Universidade Positivo
Jan 2008 - Dec 2011

I completed my Bachelor of Science in Mechanical Engineering from this prestigious institution. This degree granted me skills on hard Mathematics, such as Linear Algebra, Multivariate Calculus, Statistics and Probability, and Natural Sciences: General Mechanics, Physics, Chemistry, Thermodynamics and Fluid Mechanics. The coursework included interpersonal areas like Project Management, Logistics and Ethics.

I did a minor on Computer Science: Algorithms, Functional Programming, Electronics, Robotics and Automation.

My Capstone Project was about developing and applying a custom software solution to streamline and automate the production management in the company I worked at the time, Elgam Metalurgica. It was chosen as the best Capstone Project of the year by the University, and because of it I got transferred to an Engineering position in the company, and was given leadership of a team to apply it.

Data Analyst Nanodegree
Udacity
Jan 2017 - Oct 2017

To formalize and increase my Data Science skills, I completed this specialization. The coursework was taught by industry leaders and included Descriptive and Inferential Statistics, Python for data analysis, Data Wrangling, Exploratory Data Analysis, Machine Learning, and Data Visualization.

I already had years of experience with Python, but this course exposed me to SQL, R and D3.js too. It deepened my understanding of the data science process, giving me additional skill on obtaining and cleaning data, working with databases and different data formats, drawing meaningful conclusions based on Statistics and Hypothesis testing, and much more.

A few of the projects completed during the course (and relevant personal projects as well) are available in the Projects section of this website! Check it out!

demoSkills

Languages
Python
90%
R
80%
D3.JS
80%
SQL
70%
Concepts
Extract, Transform, Load
80%
Exploratory Data Analysis
90%
Statistics and Probability
75%
Machine Learning
80%
Personal
Leadership
90%
Teamwork
80%
Communication
70%
Dedication
100%

demoExperience

IM
Investment Manager
Elgam Metalurgica
Dec 2009 - Oct 2011

I started my professional life creating models for trend prediction for the stock market. During my time here, I did a lot of specializations on market analysis and used them to create a personalized investment portfolio (stocks, options, fixed rate and bonds) for the company. It was here that I developed a passion for data analysis.

ME
Mechanical Engineer
Elgam Metalurgica
Oct 2011 - Sep 2012

After completing my Bachelor's degree, I was transferred to an engineering position. My capstone project was about organizing the production of the company, so I was given leadership of a team to apply it, streamlining and automating the production management using software, reducing costs and improving the performance.

FC
Founder & CEO
MKI Metalurgica
Oct 2012 - Apr 2015

Using the experience I acquired up until now, I founded my own company. It grew, fast. During it's peak, we had projects on 3 different locations throughout Brazil, and over 120 employees. We even did a joint venture with my previous employer, Elgam Metalurgica, from May 2014 to Jan 2015.

DS
Data Scientist & Investment Manager
Private Investment Club
Sep 2015 - Jun 2017

As the sector was starting to slow down because of the economic crisis in Brazil, I decided it'd make sense to close the company and go back to my roots as a financial analyst.

However, this time I focused on model and platform creation instead of just trading. After a while, I realized that what I loved about the job was coding and testing different algorithms instead of managing the portfolio. This was the reason I chose to study and become a Data Scientist!

demoProjects

portfolio-demo

NYC Taxi & Limousine Commission Trip Map

An interactive data visualization using a NYC Taxi & Limousine trip dataset to help identify patterns, filtering the data by various parameters, such as time of day and day of the week

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portfolio-demo

Exploration of Red Wine Composition

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portfolio-demo

Titanic Survival Analysis

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portfolio-demo

ENRON Person of Interest Identifier

A machine learning model that identifies persons of interest using the ENRON financial dataset

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portfolio-demo

Exploration of Red Wine Composition

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portfolio-demo

Wrangling OpenStreetMap data

Extract street data from an OpenStreetMap XML file, parse it, correct errors and load it into a SQLite database

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portfolio-demo

NYC Taxi & Limousine Commission Trip Map

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demoInterests

First of all I love music, there's a special place in my heart for folk and rock and roll! I've been a gamer since I was a kid, and love to play games whenever I got the time, flight sims in particular. Watching movies and TV series is how I relax after working, and during the weekends I like to meet up with my friends and try different pubs across the city. I love cars, there's no way around it. I even had a brief but successful career as a racing driver, with the trophies to prove! And lastly, technology has always been a passion of mine, computers in particular, but that is a given in a field like this right?

Music
Gaming
Movies
Pubs
Racing
technology