Open to opportunities

Gleni Lame

@glenilame

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Data science professional specializing in ML-driven trading and business analytics.

Austria

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What I'm looking for

I seek data science roles leveraging ML and real-time pipelines to drive revenue and reduce risk, with opportunities to lead projects and mentor teams.

I am a data science professional with a strong record of applying machine learning and quantitative methods to generate measurable business value. I have built end-to-end pipelines, NLP systems, and predictive models that supported profitable trading strategies and improved operational KPIs.

At Kelag I developed an NLP-based alpha generation system and a systematic trading strategy that produced exceptional returns in backtesting, while implementing walk-forward optimization to reduce overfitting. I engineered real-time data pipelines and used ensemble models with experiment tracking to improve prediction stability.

Previously I led SEO analytics and strategy at Rotate Digital, building automated ETL pipelines, KPI dashboards, and predictive models that accelerated decision-making and doubled ROI for major franchises. I also managed a team of analysts and delivered market-share growth through data-driven approaches.

I combine practical engineering (Python, SQL, ETL, cloud tooling) with statistical rigor and a focus on business impact, seeking roles where I can drive revenue growth, optimize models in production, and mentor cross-functional teams.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Kelag

Jun 2024 - Sep 2025 (1 year 3 months)

Developed NLP-based alpha generation and end-to-end systematic trading strategies for the German/Austrian power market, producing 80% annualized returns with 3.03% maximum drawdown and improving model stability via walk-forward optimization.

Python NLP Time Series Analysis LightGBM MLFlow ETL

SEO Data Analyst

Rotate Digital

Nov 2022 - Sep 2023 (10 months)

Built automated KPI dashboards and Python ETL pipelines that reduced processing time from 12 hours to seconds, developed predictive models for SEO ranking potential, and applied statistical A/B testing to prioritize high-ROI initiatives.

Python SQL ETL A B Testing Data Visualization Dashboarding Statistical Analysis Log Analysis

SEO Team Leader

Rotate Digital

Jan 2021 - Sep 2022 (1 year 8 months)

Led a team of 3 analysts to deliver market share growth across US markets, managed SEO strategy for two major franchises and doubled ROI within 12 months through data-driven optimization and validated ranking algorithms.

SEO Strategy Team Leadership Data Analysis A B Testing KPI Tracking Technical SEO Stakeholder Management Roadmapping

SEO Specialist

Rotate Digital

Jun 2019 - Dec 2020 (1 year 6 months)

Managed a portfolio of 20+ clients delivering rapid ranking improvements, designed a scalable local SEO framework adopted as the agency's core offering, and collaborated with development teams on technical solutions.

Technical SEO Client Management Local SEO Reporting Cross Functional Collaboration Content Strategy

Education

Degrees, certifications, and relevant coursework

Carinthia University of Applied Sciences

Master of Science, Applied Data Science

2023 -

Master of Science in Applied Data Science expected completion in September 2025 with a focus on machine learning, NLP, and data-driven trading applications.