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I am Lohith Ramesh, a data science professional with a Master's in Data Science from the University of Colorado Boulder. I specialize in building scalable data pipelines, ML models, and AI-driven applications, with hands-on experience across cloud platforms, databases, and orchestration tools. I have collaborated across startups and academia, delivering production-grade ML systems and data-driven insights. I’m passionate about turning complex data into actionable outcomes and always eager to learn and apply the latest AI techniques in real-world problems.…I am Lohith Ramesh, a data science professional with a Master's in Data Science from the University of Colorado Boulder. I specialize in building scalable data pipelines, ML models, and AI-driven applications, with hands-on experience across cloud platforms, databases, and orchestration tools. I have collaborated across startups and academia, delivering production-grade ML systems and data-driven insights. I’m passionate about turning complex data into actionable outcomes and always eager to learn and apply the latest AI techniques in real-world problems.

Lohith Ramesh

Data Scientist, AI Engineer, Full Stack Developer, +3

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I am Lohith Ramesh, a data science professional with a Master's in Data Science from the University of Colorado Boulder. I specialize in building scalable data pipelines, ML models, and AI-driven applications, with hands-on experience across cloud platforms, databases, and orchestration tools. I have collaborated across startups and academia, delivering production-grade ML systems and data-driven insights. I’m passionate about turning complex data into actionable outcomes and always eager to learn and apply the latest AI techniques in real-world problems.…I am Lohith Ramesh, a data science professional with a Master's in Data Science from the University of Colorado Boulder. I specialize in building scalable data pipelines, ML models, and AI-driven applications, with hands-on experience across cloud platforms, databases, and orchestration tools. I have collaborated across startups and academia, delivering production-grade ML systems and data-driven insights. I’m passionate about turning complex data into actionable outcomes and always eager to learn and apply the latest AI techniques in real-world problems.

Available to hire

I am Lohith Ramesh, a data science professional with a Master’s in Data Science from the University of Colorado Boulder. I specialize in building scalable data pipelines, ML models, and AI-driven applications, with hands-on experience across cloud platforms, databases, and orchestration tools.

I have collaborated across startups and academia, delivering production-grade ML systems and data-driven insights. I’m passionate about turning complex data into actionable outcomes and always eager to learn and apply the latest AI techniques in real-world problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Parley Finance

May 1, 2025 - May 1, 2025

Designed a GenAI-powered loan evaluation system using Claude Sonnet 3.5 via AWS Bedrock, streamlining applicant- and lender-facing workflows and cutting manual review time by ~30%. Built a modular ML pipeline integrating PostgreSQL and AWS S3 data with contextual prompt engineering, achieving ~85% alignment with institutional policy guidelines in validation tests. Delivered an integrated backend powering the firm's web dashboard, enabling real-time AI insights across 100% of loan applications and reducing communication cycles by ~25%.

Machine Learning Analyst at Coached

January 1, 2022 - January 1, 2022

Contributed to the development of a scalable ML-based housing price prediction pipeline, working with ~50K property records; improved model accuracy by ~20% MAE reduction and ensured reproducibility with modular Python pipelines. Engineered supervised learning models with scikit-learn and XGBoost, applying feature selection and grid search optimization, and pipeline integration, reducing runtime by ~30% and enabling faster iteration for the analytics team. Partnered with mentors to extend learnings into education analytics prototypes, exploring student performance prediction and course recommendations.

Data Analyst at ECOSERVANTS

October 1, 2025 - Present

Increased accuracy and structure of environmental datasets by ~25% through SQL querying, validation, and geospatial preprocessing; maintained version-controlled dataset updates and workflows with GitHub for reproducibility.

Graduate Teaching Assistant at University of Colorado Boulder

August 1, 2024 - May 1, 2025

Mentored 150+ graduate students across Data Mining and ML, contributing to a ~12–15% improvement in average assignment performance; designed and graded ML-focused assignments and exams to reduce recurring errors and strengthen Python/ML proficiency.

Machine Learning Engineer at Coached

September 1, 2021 - January 1, 2022

Improved early-risk detection accuracy by ~18% by developing a student-engagement prediction model in Azure ML using Databricks and XGBoost; automated Azure pipeline (Blob Storage → Databricks preprocessing → XGBoost training → Azure ML endpoint) to surface high-confidence risk scores and improve intervention.