NAGA SRI RAM KOCHETTI — AI Researcher

Data Scientist & AI Engineer | Python, Machine Learning, GenAI & LLMs | Building Intelligent Systems for Real-World Impact 🎯 What I Do: I specialize in developing AI-driven platforms, predictive analytics, and data pipelines that solve complex business problems. My expertise spans machine learning, generative AI (GPT, BERT), cloud infrastructure (Azure, AWS), and digital transformation strategies across sectors including public services, finance, manufacturing, and sustainability. 💼 Current Focus: • Labour Market Intelligence & Data-Led Strategy at DWP • AI-powered analytics, automation, and decision intelligence • Building scalable digital twins, simulation models, and reinforcement learning systems • Driving sustainable, inclusive solutions through data science 🔧 Core Skills: Python | R | SQL | TensorFlow | PyTorch | scikit-learn | Power BI | Tableau | Azure | AWS | Big Data | NLP | Computer Vision | Deep Learning | Reinforcement Learning | ETL | API Development 📊 Proven Track Record: ✅ 4+ years delivering ML/AI projects in agriculture, energy, autonomous systems, and public sector ✅ MSc in Big Data & High Performance Computing (University of Liverpool) ✅ Azure Data Engineer & Enterprise Data Analyst Certified ✅ Published projects in autonomous vehicle safety, multimodal prediction, and bio-inspired AI 🌟 Why Work With Me: I combine technical depth with business acumen, translating data insights into actionable strategies. Whether it's optimizing recruitment workflows, building intelligent dashboards, or deploying scalable AI models, I deliver solutions that create measurable value. 📬 Let's Connect: Open to Data Scientist, AI Engineer, Machine Learning Engineer, and Generative AI roles. Always eager to collaborate on innovative, high-impact projects.

Stackforce AI infers this person is a Data Scientist specializing in AI solutions across various industries.

Experience: 1 yr 8 mos

Skills

Cloud Infrastructure
Data Engineering
Machine Learning
Data Governance
Predictive Analytics
Generative Ai
Ai Solutions
Sustainability Solutions
Data Analysis
Predictive Modeling

Career Highlights

Expert in AI-driven platforms and predictive analytics.
Proven track record in delivering impactful ML/AI projects.
Strong blend of technical expertise and business acumen.

Work Experience

Pareto.AI

GenAI specilaist (2 mos)

Department for Work and Pensions (DWP)

Data & AI Systems Specialist (1 yr)

Applied AI & Data Engineer (8 mos)

MARS INNO INDIA

Machine Learning Consultant (2 yrs)

GitHub

Github Campus Advisor (1 yr 8 mos)

Education

Master of Science - MS at University of Liverpool

Bachelor's degree at Gayatri Vidya Parishad College of Engineering (Autonomous)

NAGA SRI RAM KOCHETTI

AI Researcher

United Kingdom1 yr 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI-driven platforms and predictive analytics.
Proven track record in delivering impactful ML/AI projects.
Strong blend of technical expertise and business acumen.

Stackforce AI infers this person is a Data Scientist specializing in AI solutions across various industries.

Contact

Skills

Core Skills

Cloud InfrastructureData EngineeringMachine LearningData GovernancePredictive AnalyticsGenerative AiAi SolutionsSustainability SolutionsData AnalysisPredictive Modeling

Other Skills

AzureETLPythonData AnalyticsAIData IntegrityStatistical ModellingSQLFeature EngineeringModel EvaluationOpenAI GPTBERTPower BITableauSustainability

About

Experience

1 yr 8 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 8 mos

Current Experience

Pareto.ai

GenAI specilaist

Aug 2025 – Oct 2025 · 2 mos · United States · Remote

As a GenAI Specialist at Pareto.AI, I developed and deployed AI-driven solutions to optimize engineering processes in the oil & gas sector.
I fine-tuned generative models like OpenAI GPT and BERT to enhance reservoir analysis, drilling optimization, and maintenance planning.
I automated critical workflows such as report generation and compliance checks using tools like Power BI and Tableau.
Additionally, I pioneered AI applications for sustainability, focusing on emissions monitoring and renewable energy.
Working cross-functionally with engineers, analysts, and sustainability experts, I ensured AI solutions aligned with business objectives.
My role involved continuous research, model optimization, and leveraging cloud platforms like AWS SageMaker for deployment.

OpenAI GPTBERTPower BITableauGenerative AIAI Solutions

Department for work and pensions (dwp)

2 roles

Data & AI Systems Specialist

Promoted

Jun 2025 – Present · 1 yr · London Area, United Kingdom · On-site

Architected cloud-based AI-ready data systems using Azure services, ensuring scalable, secure, and high-availability infrastructure.
Designed modular ETL orchestration pipelines to process and validate large-scale datasets for advanced analytics and ML experimentation.
Built end-to-end analytics pipelines supporting statistical modelling, forecasting, and optimisation frameworks.
Developed and maintained structured data layers (data lake, relational storage) for downstream AI and ML applications.
Optimised query performance and indexing strategies to support high-throughput analytical workloads.
Implemented statistical modelling and forecasting algorithms using Python-based data science libraries.
Collaborated with analytics and digital teams to design AI-enabled decision support systems.
Established governance and data integrity standards to ensure compliance, reproducibility, and auditability of AI workflows.
Supported experimentation environments for model prototyping and iterative AI development.

AzureETLPythonData AnalyticsCloud InfrastructureData Engineering

Applied AI & Data Engineer

Oct 2024 – Jun 2025 · 8 mos · London Area, United Kingdom · On-site

Designed and implemented machine learning workflows to support predictive analytics and intelligent decision systems.
Built scalable data ingestion and transformation pipelines using Python and SQL to prepare structured and semi-structured datasets for ML training.
Developed and deployed supervised learning models (classification & regression) for workforce and trend forecasting use cases.
Implemented feature engineering pipelines to enhance model accuracy and reduce noise across high-volume datasets.
Integrated embedding-based search mechanisms to enable semantic similarity analysis across domain-specific records.
Conducted model evaluation using cross-validation, precision-recall metrics, and performance benchmarking.
Collaborated with cross-functional stakeholders to translate operational challenges into data-driven AI solutions.
Automated reporting and analytics pipelines to support continuous monitoring of model outputs and business KPIs

PythonSQLMachine LearningPredictive AnalyticsData Engineering

Mars inno india

Machine Learning Consultant

Mar 2020 – Mar 2022 · 2 yrs · Bengaluru, Karnataka, India · Hybrid

Data Analysis & Insight Generation
Analyzed large-scale agricultural datasets spanning one year to uncover trends, patterns, and correlations critical for decision-making in crop management and resource allocation.
Interpreted results to inform strategy, contributing to improvements in productivity and risk mitigation across agricultural operations.
Statistical Programming & Predictive Modeling
Utilized Python (pandas, NumPy) and R for data manipulation, statistical analysis, and model development.
Built predictive models (e.g., linear regression, decision trees) to forecast crop yields and optimize operational planning.
Data Cleansing & Preprocessing
Conducted extensive data cleaning, validation, and transformation to ensure data quality and consistency, increasing the reliability of downstream analytics.
Database Querying & ETL
Employed SQL to extract, query, and manage data from relational databases, enabling efficient pipeline creation for analysis tasks.
Data Visualization & Reporting
Designed and developed interactive dashboards and visual reports using Power BI and Tableau to communicate insights clearly to technical and non-technical stakeholders.
Stakeholder Collaboration
Partnered with agronomists, data scientists, and operational teams to align analysis outputs with business needs and translate findings into practical, high-impact recommendations.

PythonRSQLPower BITableauData Analysis+1

Github

Github Campus Advisor

Jul 2019 – Mar 2021 · 1 yr 8 mos · Visakhapatnam, Andhra Pradesh, India · Remote

Empowered students and educators by integrating GitHub tools into academic workflows and fostering industry-standard software development practices.
Guided peers in adopting GitHub for version control, collaboration, and project management.
Promoted best practices in open-source contribution, code review, and documentation.
Facilitated workshops and mentoring sessions on Git, GitHub Classroom, and collaborative coding.
Acted as a bridge between GitHub Education and the student developer community to enhance learning outcomes.