Emmanuel M. — Data Scientist

MY PROJECTS

Machine Learning and Data Visualizations

Loan Default Classification using Soft Voting Classifier

Built a Soft-Voting Classifier to predict loan defaulting customers; achieving an accuracy of up to 87%. Project includes data exploration, feature engineering and class sampling. We build a robust framework for tackling ML classification tasks. ⓘ

ANN Sentiment Analysis and Classification - Customer Reviews

A robust Deep Learning model to analyze restaurant reviews and output the overall sentiment in terms of number of stars. I undergo a data exploration and feature engineering process to develop suitable parameters for the ANN model. ⓘ

Number Plate Detection using OpenCV

I use Python and cv2 techniques such as Edge detection, Contour detection and Masking to extract number plate code from images and videos. ⓘ

Spotify Tracks API Data Engineering and Analysis

I use Python to build a pipeline to link the Spotify API, to a PostgreSQL database. Each line item is comprised of individual tracks and the features include track popularity, artist popularity, album release dates, etc. ⓘ

Stock Price Forecasting using RNN Deep Learning Model

Built a Recurrent Neural Network to forecast the TCS Stock Price. Using a step size of 60, the model is designed to forecast the opening price for the next 30 days. The model predicts the general flow of the market, eliminating the noise of frequent spikes and dips on an actual stock price chart and thereby giving the price action on a macro scale. ⓘ

ABOUT ME

Professional Profile

I am Emmanuel, a data scientist with 3 years of experience in the field and I have a passion for solving complex data related problems. I am a musician. I enjoy spending time with my band recording music and making memories.

I am constantly learning and staying up-to-date with the latest advancements in the field of machine learning. I am excited about the future of the industry and the impact it will have on our daily lives. Whether it's developing predictive models, creating data-driven insights, or automating processes, I am driven to make a difference through my work.

AREAS OF INTEREST

Take a look at some of my key skills and areas of interest

Data Analytics

I enjoy performing data exploration, plotting visualizations and telling a story

NLP

I apply feature engineering to draw insights from textual information

Machine Learning

I apply ML techiques to improve operational efficiencies, get insights and boost sales

Data Engineering

Data extractions, ETL Pipelines, Data Modelling

Collaboration

I enjoy collaborating in a team environment

Software Engineering

I enjoy building applications to boost workplace productivity

I am

Emmanuel Masindi