MICHAEL GYAMFI, MSc

Email: ad4900@r.postjobfree.com Telephone Number: 330-***-**** Address: Deering Oaks Dr, Blacklick OH CAREER SUMMARY

● 8+ years of experience working in the IT industry covering areas like Splunk administration & architecture, Data Science, Data Visualization and Analytics.

● Experience working with SIEM platforms, logging and monitoring in Splunk with expertise in Splunk Administration, Advance search and reporting using SPL searches, report generation, custom dashboards creation, infrastructure upgrade, alert scheduling, and configuration files creation.

● Experience in onboarding various data sources like Linux and Windows OS logs, Network and firewall logs, database logs, HTTP(S) event logs into Splunk using methods like syslog-ng, cloud-based API, HEC, DBConnect and universal forwarders or heavy forwarders.

● Experience creating and managing Splunk knowledge objects (field extractions, work-flow actions, field aliases, event types, tags, lookups, and data models)

● Expertise in using monitoring console, btool command & Splunk Internal logs to troubleshoot issues related to Splunk data ingestion, storage, performance, and resource utilization.

● Experience writing Python, Bash, and PowerShell scripts to automate repetitive IT processes and server configurations.

● Experience with Splunk Machine Learning Toolkit (MLTK).

● Machine learning & deep learning model development, API development and model monitoring analysis.

● Expertise in provisioning, installing, configuring and maintaining AWS instances.

● Attention to details, ability to mentor and guide junior team members, and ability to work in a fast-paced environment, and possess great communication skills. WORK EXPERIENCE

Splunk Systems Engineer II

Rita Consulting Services – Atlanta, GA

May 2020 – Present

● Currently collaborating with the security team to install, configure, and manage Splunk Clustered Indexers, Search Head Clusters, Heavy and Universal Forwarders, Add-ons, Cluster Manager and Deployment Server for two clients.

● Supervising and reviewing junior team members network data ingestion in Splunk, providing guidance, technical support on using Splunk Connect for Syslog (SC4S) to foster a culture of continuous learning and growth within the team.

● Performed onboarding of new data sources into Splunk, normalized the data using field aliases and event tags to ensure CIM-compliant, scheduled report, and built dashboards to highlight key trends in the data.

● Worked with the security team to configure Splunk Enterprise Security (ES) and develop correlation searches, threat models, and incident response workflows.

● Performed troubleshooting using the monitoring console, btool command, Splunk Internal logs and developed dashboard.

● Monitored the overall Splunk architecture, CPU usage, Storage capacity, & health of the Splunk environment from created dashboards and the monitoring console.

● Assisted with creation, deployment and troubleshooting of Splunk TA’s and Add-ons.

● Implemented Splunk forwarder deployment and configured inputs and outputs.conf to ingest Windows and Linux Application, System, Security logs.

● Developed and managed default and custom dashboards with visual metrics for stakeholders using Search Processing Language (SPL) and python.

● Collaborate with other teams, SMES and leaders across the organization to enable Customer Experience and IT Focus Group Dashboards.

Senior Energy Market Modeling Analyst

American Electric Power (AEP) – Columbus, OH

Feb 2019 – Mar 2020

● Developed a Day Ahead prediction of PJM’s 5 Coincident Peaks using Neural Network and monitor outputs using Splunk MLTK and related dashboards.

● Led the development and implementation of Long Short Term Memory (LSTM) model for predicting Real time Peak load and classifying the exact time this peak load would occur thereby improving customer experience and driving revenue for the company.

● Worked closely with data engineers to onboard and preprocess data from oracle database sources into Splunk, ensuring data quality and consistency for our machine learning analysis.

● Modified our existing networks and trained new networks to forecast new auction loads using Neural Network in Python.

● Collaborated with cybersecurity teams to develop and deploy models for threat detection and incident response, leveraging Splunk's real-time data processing capabilities.

● Conducted performance monitoring, capacity planning, and optimization activities to maintain the reliability and scalability of Splunk environments for machine learning workloads.

● Provided technical guidance, training, and support to cross-functional teams on leveraging machine learning capabilities within Splunk, empowering users to harness the full potential of advanced analytics for their business needs.

● Implemented and configured Splunk's Machine Learning Toolkit (MLTK) within Splunk environments, including the setup of machine learning clusters, resource allocation, and model training workflows. Energy Market Modeling Analyst

American Electric Power (AEP) – Columbus, OH

May 2018 – Feb 2019

● Worked on integration of pricing machine learning models, for personal lines, into Splunk deployments to reveal patterns, trends and univariate analysis in modeling dataset, facilitating predictive modeling and proactive decision-making.

● Created interactive dashboards and visualizations to communicate pricing predictive model’s results effectively to the business, enabling data-driven decision-making using Power BI, Tableau, Domo, Google data studio.

● Developed a REST API for scoring developed models using plumber & swagger in Rstudio and FastAPI in Python.

● Optimized predictive models for scalability, performance, and accuracy within Splunk environments, leveraging distributed computing and parallel processing capabilities for large-scale data analysis.

● Familiarized myself with all our existing Price Simulation, Price Forecast, Load Forecast, Zone Model, Shadow Price and Ancillary Services forecast models through developing flowcharts, diagnosing and debug errors relating to these processes.

● Developed a multiple regression to predict Big Sandy’s Locational Marginal Prices.

● Stay abreast of emerging trends, tools and best practices in data science, machine learning, driving innovation and presented to leadership within the organization. Adjunct Lecturer

North Central State College – Mansfield, OH

May 2017 – May 2018

● Tutored and assisted college students to use Excel and Minitab to solve Statistics and data projects.

● Tutored college students in Algebra, Statistics and Probability and Business Statistics courses.

● Teaching responsibilities, including preparing notes and test questions, proctoring and grading exams.

● Used Canvas to record and announce tests and exams scores and dates. EDUCATION

● The University of Akron, Akron-Ohio

Aug 2015 – May 2017

Master of Science in Applied Mathematics (Statistics) – Thesis Option Thesis: Modeling the Financial Market using Copula Models Used: Standardized t-distribution, Student t-Copula, CDFs and Future stock prices

● University of Cape Coast (UCC), Cape Coast, Ghana Sept 2010 – May 2014

Bachelor of Science in Mathematics and Economics (Computer Science) Studies on Macro, Micro Economics and Econometric concepts, Advance Calculus & Mathematical Theorems, and Introduction to C++, Java and Python Programming CERTIFICATIONS

● Splunk Enterprise Certified Architect

● Splunk Enterprise Certified Admin

● Splunk Core Certified Power User

● Associate in Insurance (AINS)

CORE SKILLS

● Splunk Enterprise & Cloud Components – Configure Indexers, Forwarders, Search-Head, single and multi-site cluster environment, and Forwarder Management.

● Splunk Search Processing Language (SPL) and Dashboarding

● Splunk Premium Apps – Enterprise security, ITSI

● Cloud Platforms – AWS (EC2, S3, CloudTrail, SQS, SNS), GCP, Microsoft Azure

● Troubleshooting and Performance Tuning

● Machine Learning, & Deep Learning model development

● Operating Systems – Windows, Unix, Linux, MacOS

● ITSM Tools – ServiceNow, Jira

● Database Management – Microsoft SQL Server, MySQL, Oracle DB

● Scripting – PowerShell, Bash, Python

● Programming languages – Python, Java, C++, R Studio

● Web Technologies – HTML, CSS, XML, JSON, REST API

● Visualization and Analytics Tools – Power BI, SAS, R ggplot

● Windows, MacOS and Linux, Operating System Installations, Configurations.

● Concepts – Unified Modeling Language (UML), ERD diagrams and data flow charts

● Feature Engineering – Regex, Python

● Networking and Operating System Fundamentals

REFERENCES

Available upon request

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