Sam Odongo Email & Phone Number

Nairobi County, Kenya

United States

❖ Extracted, cleaned, and transformed relevant data using tools such as SQL and Python for different Integrated Customer Experience Problems for analysis, modeling, and reporting.❖ Framed business requirements and objectives as succinct data science problems using tools like Jupyter Notebook and Python.❖ Implemented and deployed robust, state-of-the-art analytics and machine learning models across Product Stack using libraries like Scikit-Learn and TensorFlow, directly impacting merchants and enterprise customers.❖ Developed predictive models with advanced algorithms for trend forecasting.❖ Fine-tuned models for accuracy, precision, and optimal performance.❖ Engineered valuable features from raw data, enhancing model performance.❖ Implemented data preprocessing techniques like scaling and normalization, ensuring clean, reliable data for analysis.❖ Applied NLP techniques to process and analyze textual data, including sentiment analysis and topic modeling.❖ Built text classification and sentiment analysis models for extracting insights from reviews and social media.❖ Conducted time series analysis on historical data, identifying trends and anomalies.❖ Developed precise forecasting models using methodologies like ARIMA, LSTM, and Prophet.❖ Collaborated closely with clients to understand their unique business challenges and data needs.❖ Provided tailored data science solutions, from problem framing to model deployment recommendations.

Nairobi, Kenya

❖ Extract, clean, and transform relevant data using tools such as SQL, Python, and ETL tools like Apache Spark for different Integrated Customer Experience Problems for analysis, modeling, and reporting.❖ Frame business requirements and objectives as succinct data science and data engineering problems using tools like Jupyter Notebook and Python.❖ Implement and deploy robust, state-of-the-art analytics and machine learning models across Product Stack using libraries like Scikit-Learn and TensorFlow, directly impacting merchants and enterprise customers.❖ Collaborate with data engineering teams to design and develop data pipelines using tools like Apache Airflow and Azure Data Factory, ensuring seamless data integration for analysis and reporting.❖ Actively pursue improving data science and engineering skills, including problem-solving, writing readable/testable/efficient code using Git and version control, mastering Integrated Customer Experience Data, and learning to anticipate Customer and Data related product issues and needs - always staying ahead of the customer.❖ Actively participate in internal Data Science and broader technology project reviews and participate in community meet-ups.❖ Collaboratively work with the engineering, products, and customer success teams, and communicate clearly and effectively regardless of seniority using collaborative tools like Slack and Microsoft Teams.

Nairobi, Kenya

❖ Worked with Head of Transport to engineer new pricing and relevant models, utilizing Data analysis tools like Excel ❖ Trained new automated agents to streamline operational processes, ensuring efficiency in account management.❖ Collaborated with the Data Science Team to developed new matching models to match shipments, utilizing data mining techniques and business intelligence tools.❖ Collaborated with the Data Team to developed machine learning infrastructure, enhancing predictive capabilities for better decision-making.❖ Collaborated with back and front-end engineers on data requirements for integration, BI applications, and WhatsApp Business data mining.❖ Participated in creating automated processes through stored procedures, utilizing T-SQL and Excel tools for efficiency.

Nairobi, Kenya

❖ Captured both vendor and customer data for compliance checks using tools like Azure Compliance Center and AWS Compliance Manager.❖ Reviewed sanctions alerts generated by Compliance Desktop using Azure Cognitive Services and AWS AI/ML services to determine if they are true matches or require further dispositioning in the case management system.❖ Conducted fraud analysis based on alerts generated, utilizing Azure Machine Learning and AWS Fraud Detection services, to determine if further investigation is required. Findings were documented and submitted to the Procurement Manager.❖ Conducted periodic vendor and customer reviews, including those generated by Events and referrals, using Azure and AWS data analytics and visualization tools.❖ Maintained software-controlled processes using Azure DevOps and AWS CodePipeline, essential for vetting vendors and customers.❖ Created and maintained reports and dashboards on various company KPIs using Azure Power BI and AWS QuickSight.❖ Answered business questions using data analysis and statistics, leveraging Azure Data Analysis and AWS Analytics tools.❖ Supported the management team on a wide range of data-handling requests using Azure and AWS data services.❖ Conducted periodic audits on data quality in line with company policies, utilizing Azure Data Quality services and AWS Data Quality tools.❖ Supported the creation and maintenance of back-end data ingestion and transformation processes using Azure Data Factory and AWS Glue

Nairobi, Kenya

❖ Monitored and performed ongoing maintenance on data center critical systems, including: diesel generators, UPS systems, fuel systems, switchgear, power distribution equipment, chillers, Data cabling infrastructure, computer room air handlers, fire detection/suppression, Security and Building monitoring systems.❖ Provided IT support to staff and customers, as well as responding to the server and network issues.❖ Utilized Azure Monitor and Azure Security Center to protect company data by preventing the overheating of data center components.❖ Ran hardware diagnostics and replaced failing parts in a timely manner.❖ Monitored all network processes to ensure the smooth flow of data across the network using Azure Network Watcher.❖ Collaborated with software and network engineering teams on cybersecurity and network efficiency, leveraging Azure security services.❖ Upgraded internal system components, including CPUs, memory, hard drives, and network cables.❖ Documented processes and kept all event logs in Azure Log Analytics.❖ Advised on the procurement of new data center equipment, considering Azure hybrid solutions where applicable.❖ Kept track of developing trends in data center technologies, including Azure Arc-enabled solutions.❖ Successfully integrated PIN Mailing system to Active Directory for password management at NIC Bank.❖ Performed routine 1st and 2nd Level user support with an average responsiveness rating of 94%.❖ Performed routine system backups, End of Day (EOD) via T24 Core banking system and sent timely financial reports to top-level management and regulator CBK.

Nairobi County, Kenya

Managed 2G and 3G network elements, ensured 1st level fault tolerance, controlled site access, and facilitated fault escalation, work order execution, and network status updates.

Data Science, Data Science

Bsc., Telecommunication And Information Engineering, 2Nd Class Honors Upper Division