Bukelwa Moerane

Thinkful is an online learning platform that offers courses in Data Analytics, Data Science, UX/UI, Software, and web development. I am a Data Analytics mentor that works remotely to assist their students to excel in their studies. I have one on one session with learners weekly, I work an average of 6 hours a week with an average of 10 learners The topics that are covered in the Data Analytics course are: * Excel foundation * SQL foundation * Data storytelling and visualization * Statistics * Mock Interviews * Python foundation

* Automating lead generation using web scraping and Python. * Generating leads for the telesales team * Reporting and improving team performance through continuous dialogs, identification of blockers, and reducing redundant processes. * Reporting and managing workload distribution and liaising with relevant stakeholders on campaign enrichment progress. * Streamlining processes using custom-built python scripts and integrating with third-party API's * Data wrangling and Data Analysis * Motivating and inspiring team members to identify and achieve personal and career growth plans.

* Create a workspace in Adobe analytics * Import Quarterly web-traffic data, analyze and visualize it in an excel environment * Import data from facial recognition app, analyze it, create an interface that will display the visualization using D3.js * Conducting customer experience interviews * Building personas * Creating UX strategies * Building automated dashboards using google data studio * Managing Google Cloud Platform Databases * Querying data in BigQuery, analyzing it, and visualizing it * Creating a data mining strategy * Building APIs for Data visualization automation * Interfacing with third party API's (Crimson, Hootsuite, Google Analytics, and Google Drive) * Robot processes automation (RPA) using python and Automagica. * Using NLP for sentiment analysis * Wrangling data from an emotion facial recognition app and predicting how the end-user will feel about a product. * Using clustering to understand user demographics and our audience. * Advising and educating the team members and clients on the importance and use cases of Machine Learning.