David Gogovie

Data preparation and visualization in python (Pandas and Matplotlib).
Mastering file loading, data cleaning, pipeline creation and visualization (Seaborn and Plotly Express).
Data retrieval from MongoDB, time series analysis and auto-regression models.
Extract data from SQL database to build Logistic Regression and Decision Tree models for classification.
Navigating the Linux file system, working with imbalanced data by resampling, building ensemble models like Random Forest and Gradient Boosting Trees as well as evaluating their classification performance using metrics other than Accuracy Score like Precision, Recall and Confusion Matrix.
Data analysis, unsupervised learning using k-means clustering, feature selection based on variance and PCA, and Dash Web Application Design.
Build a choropleth map and a custom Python class for ETL processes, design an experiment with a chi-square test, and create an interactive web application following a three-tiered design pattern.
Get data from a web API by making HTTP requests, transform and load data to SQL database, build a GARCH model to predict stock price volatility, and finally build a FastAPI to serve the model’s predictions.

Track animals in a wildlife preserve by building a CNN binary classifier from scratch.
Classify images of crop disease using ResNet50 pre-trained model for a custom multi classifier.
Object detection to monitor traffic flow using pre-trained YOLO model.
Face detection and recognition in a video using MTCNN and InceptionResnet as well as build a Flask App.
Generate variety of medical images.
Create and deploy a meme generator app.

Developed a Search Engine similar to a Bible App using React for the frontend and Express Node.js for the backend server.
Book Upload, Book Search, and Book Formatting features implementation.

Read papers on bioinformatics and cloned python codes from GitHub for molecular analysis for coronavirus drug discovery.
Read papers on DNA sequence analysis and obtained understanding of genomic sequence analysis using BioPython.

Developed a strategy for asset trading using machine learning to identify and select the best asset for short term trading.

Developed an all-in-one school management and business process automation and accounting software.

Assisted in the development and implementation of the Vault Management System (VMS) for the Bank of Ghana.
Studied business and technical specification documents for system understanding and customization.
Developed T24 reports and subroutine programs using jBase programming language.

Assisted in the development and implementation of the Vault Management System (VMS) that keeps track of currencies at the Bank of Ghana (Impact 05 Project R5 Implementation). Also assisted in the Bank PHB R8 Implementation. Responsibilities included:
• Studied the VMS business and technical specification document as well as same for the automated teller machine (ATM) for Bank PHB.
• Tested, troubleshooted and customized some T24 version screen for full proof of their functionalities.
• Designed T24 reports and wrote subroutine programs for input validations and authorization using jBase programming language. Other reports ranged from asset
register, loans and deposits, T-Bills, tellers, letters of credit, documentary credits and deal slip etc.
• Monitored Close of Business (COB) and captured screenshots of errors.
• Assisted in end user training.

Assisted in the implementation of the Inventory Control System.
Engaged in stock taking, pallet labeling, and other office duties.