Location: Nigeria
Remote: Yes
Willing to relocate: Yes
Looking for: Full Time/Part Time
Technologies:
• Machine Learning: Regression, Classification, Clustering, Anomaly Detection, Collaborative Filtering, Reinforcement Learning, Associative Learning, Natural Language Processing, Deep Learning
• Statistical Methods: Regression Models, Gradient Descent, Model Selection and Evaluation, XGBoost, Grid Search, K-Fold Cross Validation, Dimensionality Reduction
• Data Handling: Extract Transform Load (ETL), SQL, Excel, Data Visualisation, Data Mining, Data Wrangling and Cleansing, Quality Assurance, Web Scraping
• Programming: Python, R, C++
• Big Data: Hadoop (HDFS, MapReduce, Apache Spark (PySpark), Pig, Hive)
• Database Systems: Relational Databases (Microsoft SQL Server, MySQL), Non-Relational Databases (MongoDB)
• Software and Web Tools: Microsoft Office, Visual Studio, Business Intelligence (SSDT-BI), Tableau, MATLAB, GNU Octave, Git/Command Line Interface
• Cloud Services: Microsoft Azure, Google Cloud
• Operating Systems: Windows
Resume/CV: <a href="
Email: REDACTED_EMAIL
About: Data science, machine learning and data analysis for a year. I use majorly Python, SQL and Tableau. I also use MongoDB for non-relational databases. I have recently started employing big data technologies such as Hadoop, Spark etc.
I am open to engaging in a project to help the goals of your company. I have succeeded in my previous roles and I believe the next will follow this pattern. Very much interested in intern and junior positions.