Open to opportunities

Selva Lakshmi R

@selvalakshmir

Message

Data Scientist extracting actionable insights from complex datasets.

Zimbabwe

Message

What I'm looking for

I seek a collaborative, impact-driven role where I can build and deploy ML solutions, drive data-driven decisions, and contribute to sustainability or business-growth initiatives while growing technical and leadership skills.

I am a data scientist skilled at extracting actionable insights from complex datasets, proficient in Python, R, SQL and modern ML libraries such as TensorFlow, Keras and Scikit-learn.

I have applied machine learning and data visualization across domains — I built and deployed ML models for real estate sustainability to analyse ESG data for net-zero goals, and I leveraged data science techniques to increase sales revenue by 35% and improve decision-making that drove a 30% sales uplift.

I am passionate about driving data-driven decisions, collaborating across teams, and delivering production-ready models and clear visualizations that solve business challenges.

Experience

Work history, roles, and key accomplishments

Current

Administrative Assistant

Current

OW2

Jan 2011 - Present (14 years 7 months)

Managed European project documentation and enabled data-driven collaboration via cloud platforms, improving cross-team coordination for open-source initiatives.

Project Coordination Documentation Data Collaboration Platforms Attention To Detail

Head of Marketing (Data)

Oxford University Press - South India

Jan 2005 - Jan 2007 (2 years)

Leveraged data science techniques to analyze large school datasets and optimize sales strategies, increasing sales revenue by 35%. Coordinated teams to implement data-driven marketing and reporting.

Data Analysis SQL Python Tableau Power BI Customer Segmentation Sales Strategy Stakeholder Management

Head of Sales Support (Data)

SriLankan Airlines - South India

Jan 1998 - Jan 2005 (7 years)

Applied data mining and visualization to identify customer segments and pricing opportunities, improving decision-making and increasing sales revenue by 30%. Communicated insights to stakeholders to drive commercial strategy.