Solutech Limited is an Innovative Custom Software Solutions provider based in Nairobi,Kenya comprised of brilliant Software developers with vast experience in building Technology Solutions for business. With our tagline Technology empowering business we partner with businesses to increase efficiency in operation by understanding their process and creating solutions that users Naturally adapt in their operation. We have had 100% Success in creating and Implementing Retail Management Solutions and Merchandiser Operations Mobile Solutions.
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Collaborate with cross-functional teams to understand business needs and identify data analytics opportunities.
Analyze large, complex datasets to identify trends, patterns, and insights and present them to stakeholders in a clear and understandable manner
Develop and implement machine learning algorithms and statistical models to improve our processes or product functionality
Collect, clean, and preprocess large datasets from diverse sources
Create visualizations using state of the art visualization tools.
Assist in the integration of data analytics findings into operational processes and strategic planning.
Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
Stay up-to-date with advances in data science and technology and suggest improvements we can make in our processes and offerings.
Any data related task that may be required of you from time to time. This may include data engineering tasks or creation of APIs to facilitate consumption of data
Requirements
3-5 years of experience in building data driven solutions with a bias towards machine learning.2. 2+ years experience with python
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Proficiency in data analytics and machine learning tools (e.g., Python, R, SQL, TensorFlow, PyTorch).
Experience with cloud computing platforms (e.g., AWS, Google Cloud) and their data analytics services.
Strong understanding of data preprocessing, exploratory data analysis, and predictive modeling techniques.
Familiarity with big data technologies (e.g., BigQuery, Spark, Power BI) is an advantage.
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