Sitraka Forler

• Designing and leading AIOps architecture to bridge observability, automation, and data-driven decision-making.
• Evolving observability architecture leveraging Splunk, Zabbix, Grafana, Prometheus, and ELK.
• Modeling business and technical services in BMC Discovery (CMDB).
• Automating incident response workflows with ServiceNow and intelligent alerting.
• Driving AIOps strategy using machine learning and anomaly detection.

• Teaching Data Science for Finance, Machine Learning, Deep Learning, and Transformers.
• Lecturing on corporate strategy, Agile/Scrum, and corporate finance.

• Designing and deploying LLMs from POC to Production.
• Managing Data Engineering and Architecture for finance departments.
• Executing large-scale data migration projects.

• Automated workflows with RPA (Python) for Avaloq core-banking.
• Designed data warehouses using AWS, Airflow, and Talend.
• Automated financial/regulatory reporting (AIFM, FGDL, IFRS 9).

• Applied NLP (Hugging Face, Keras) to product descriptions.
• Built predictive models and web traffic KPI dashboards.

• Hackathon! 1 full week, non stop, during the Covid Crisis. Ideation, Business Plan, Prototyping, Pitching and team working. 5th on 34 participating groups.

Skills: Python (Programming Language) · Docker · Pitching Ideas

• Engineered KPI Dashboards: Designed and deployed two interactive TIBCO-Spotfire dashboards to monitor real-time production line performance indicators. Scripted complex data processing logic using R, customized backend functionalities with .NET, and structured the frontend user interface utilizing HTML.
• Automated Reporting Pipelines: Developed an automated distribution system to route critical service documents and KPIs directly to Industrial Engineers and Plant Managers, streamlining communication and eliminating manual reporting overhead.
• Predictive Maintenance Modeling: Spearheaded a data-driven project to forecast production tool breakdowns. Leveraged Python and SQL to extract and analyze historical machine data, identifying early indicators of equipment failure to optimize production uptime.

Skills: KPI dashboards · TIBCO Spotfire · R · Python · SQL · Cybersecurity

• Implementation of data projects for clients: Data cleansing (Corsica Ferries, Nexity) and Customer feedback analysis (PSA Group).
• Implementation of a Gantt chart for a team of 20 stakeholders.
• Performing analysis to assess quality and meaning of data.
• Filter Data by reviewing reports and key performance indicators (KPI) to identify and correct trends and threats.
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
• Preparing annual, quarterly and monthly financial projections for designated client groups, explaining variances with the budget and financial forecasts.
• Conduct business meetings with customers to determine requirements and milestones.
• Ensure the quality of the delivery by conducting tests (including performance test), troubleshooting and integrating new elements.

Skills: Microsoft Excel · Cybersecurity · Python · SQL

• The para-demographic productivity gap in the developing world: an international comparison
• During that internship I was under the supervision of Pr. Gilles Dufrenot at the Aix-Marseille School of economics. We had to analyse the previous and actual point of view of existing scientific papers, then we worked on the econometrics regressions and interpretations.
• Our paper investigates the heterogeneous productivity gaps by panel stochastic frontier models to confirm a para demographic “burden” through inefficiencies in the labor productivity in the developing countries. As a result, in terms of productivity, Sub-Saharan Africa does not benefit from a demographic dividend.
• Order of Authors: Kimiko Sugimoto; Gilles Dufrénot; Sitraka Forler