Suraj Suresh

About Suraj Suresh

Results-driven Senior Data Scientist with a proven history of leveraging advanced analytics and machine learning to fuel business growth and innovation. Skilled at crafting innovative solutions and implementing scalable ML pipelines that deliver measurable value and tangible business impact.With deep proficiency in Python, Spark, AWS, SQL, and Generative AI, I have honed my expertise in building recommender systems, entity recognition models, and predictive algorithms. My work consistently delivers high accuracy rates, driving significant cost reductions and enabling actionable, data-driven insights that empower organizations to achieve their goals.Passionate about solving complex problems, I thrive at the intersection of technology and business, helping teams unlock the true potential of their data to propel success.

Experience

1. Lead Machine Learning Engineer

   Accenture

   Jun 2024 — Present · Bengaluru, IN

   Key Responsibilities :• Led end-to-end development of ML and GenAI solutions using LLMs across automotive, insurance, and healthcare engagements.• Designed and built VOR Classification and Prompt Matching systems leveraging LLMs, FAISS, and NLP techniques.• Developed predictive models for customer segmentation and plan purchase using XGBoost, Random Forest, and Logistic Regression.• Architected scalable data pipelines using AWS S3, Glue, and Athena to support analytics and ML workloads.• Integrated ML and GenAI models into production systems with a focus on scalability, reliability, and performance.• Established reproducible ML workflows, including model versioning, CI/CD, and experiment tracking.Key Results & Impact :• Improved issue triaging accuracy through LLM-based classification and semantic matching solutions.• Enabled faster and more consistent business decisions by delivering executive-ready insights via Power BI dashboards.• Enhanced model performance and stability through structured feature engineering, evaluation, and tuning practices.• Translated ambiguous business problems into clearly defined analytics and AI use cases with measurable outcomes.• Supported data-driven decision-making by defining KPIs and success metrics in collaboration with stakeholders.Team Leadership & Collaboration:• Mentored and guided junior data scientists and analysts, supporting skill development and delivery quality.• Coordinated task planning, reviews, and knowledge sharing within the team to ensure timely project execution.• Acted as a bridge between business stakeholders, product teams, and engineering to align priorities and expectations.• Contributed to solution architecture and design discussions, balancing technical feasibility with client needs.• Owned solution delivery from initial problem framing through stakeholder sign-off across multiple engagements.

Education

• Dublin Business School

  Master's degree, Data Analytics

• J S S Academy of Technical Education, BANGALORE

  Bachelor of Engineering (B.E.), Information Science and engineering

  2016