Dattatray Bodake

Data Scientist

Pune, Maharashtra, India3 yrs 1 mo experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in fine-tuning Large Language Models.
  • Delivered impactful AI solutions that reduced operational costs.
  • Certified in Machine Learning and Generative AI.
Stackforce AI infers this person is a Data Science and AI Engineering professional with a focus on NLP and machine learning applications.

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Skills

Core Skills

Natural Language Processing (nlp)Large Language Models (llm)Ai Model EvaluationReinforcement Learning With Human Feedback (rlhf)Machine LearningData Science

Other Skills

AI ResearchAlgorithmsAmazon Web Services (AWS)Analytical SkillsArtificial Intelligence (AI)Attention to DetailBusiness Intelligence (BI)CI/CD (GitHub & Render)Chatbot DevelopmentCommunicationContainerizationCross-functional CollaborationData AnalysisData AnalystData Analytics

About

AI Engineer and data-driven problem solver with 2+ years of experience in Machine Learning, NLP, Generative AI, and statistical modeling. I thrive on transforming complex datasets into actionable insights, building scalable AI systems, and pushing the boundaries of what’s possible with intelligent automation. My expertise spans across Python, SQL, Power BI, Hugging Face Transformers, TensorFlow, scikit-learn, and AWS — with hands-on experience in fine-tuning Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG), and applying Reinforcement Learning with Human Feedback (RLHF) to optimize performance. I’ve delivered impactful solutions — from deploying predictive analytics pipelines that cut operational costs, to developing medical chatbots using RAG and Google Gemini API, to enhancing fraud detection models with improved accuracy and reduced false positives. My background includes leading model optimization, data wrangling, and ETL pipeline design that boosted efficiency by up to 30%. Certified in IBM Machine Learning, Prompt Engineering for Generative AI, and trained through ExcelR’s Master’s Program in Data Science, I bring a mix of deep technical expertise and a passion for continuous learning. Whether it’s sentiment analysis, predictive modeling, or LLM fine-tuning, I aim to create AI solutions that are ethical, scalable, and impactful. 🚀 Currently open to full-time roles in AI/ML Engineering, Data Science, or Analytics — ready to bring innovation, precision, and enthusiasm to your team. Let’s connect and explore how we can turn ambitious AI ideas into real-world value.

Experience

3 yrs 1 mo
Total Experience
11 mos
Average Tenure
1 yr 8 mos
Current Experience

Turing

Research Analyst – AI/LLM Training

Oct 2025Present · 6 mos · Pune, Maharashtra, India · Remote

  • Analyze, summarize, and structure complex written content into logical, high-quality datasets used to train and improve large language models.
  • Conduct online research to verify facts, validate claims, and ensure accuracy and reliability of content.
  • Create puzzles, scenarios, and reasoning-based tasks to enhance model problem-solving and comprehension.
  • Provide detailed feedback on AI-generated responses to improve clarity, alignment, tone, and reasoning.
  • Collaborate with a global remote team and contribute to AI research pipelines that advance reasoning, multilinguality, and agent capabilities in modern LLMs.
Data AnalysisDataset StructuringAI ResearchNatural Language Processing (NLP)Large Language Models (LLM)

Rws group

AI Model Evaluator & Data Annotation Specialist

Aug 2024Present · 1 yr 8 mos · Pune, Maharashtra, India · Remote

  • Evaluated and rated LLM-generated responses for accuracy, helpfulness, safety, tone, and content quality across multiple domains.
  • Compared and ranked AI-generated outputs, selecting the most relevant, coherent, and human-like responses.
  • Provided structured feedback to improve model alignment, reduce hallucinations, and enhance factual correctness.
  • Conducted linguistic and logical analysis to identify biases, inconsistencies, and ethical risks in AI outputs.
  • Participated in prompt testing and redesign to optimize model behavior for diverse real-world scenarios.
  • Collaborated with data teams to deliver high-quality, domain-specific training datasets for fine-tuning Large Language Models.
EvaluationFeedback StructuringLinguistic AnalysisLarge Language Models (LLM)AI Model Evaluation

Soul ai

AI Prompt Engineer

Sep 2023Jul 2024 · 10 mos · Pune, Maharashtra, India · Remote

  • Designed and optimized advanced prompts for Large Language Models (LLMs) to improve output accuracy, coherence, and domain-specific relevance.
  • Applied Reinforcement Learning with Human Feedback (RLHF) to fine-tune models, enhancing reasoning quality, reducing hallucinations, and improving factual consistency.
  • Reviewed, evaluated, and generated technical content to ensure clarity, factual accuracy, and alignment with project objectives.
  • Collaborated with global cross-functional teams to develop context-rich, task-specific prompt strategies, significantly boosting LLM performance and meeting custom client requirements.
  • Monitored and documented model behavior trends, identifying gaps, biases, and optimization opportunities for continuous improvement.
Prompt EngineeringModel Fine-tuningCross-functional CollaborationLarge Language Models (LLM)Reinforcement Learning with Human Feedback (RLHF)

Oasis infobyte

Data Scientist Intern

Jul 2023Aug 2023 · 1 mo · Remote

  • Developed and deployed predictive machine learning models, achieving high accuracy and aligning outputs with business objectives.
  • Performed comprehensive data analysis and statistical modeling using Python, R, TensorFlow, and scikit-learn to generate actionable insights.
  • Engineered efficient SQL and Pandas pipelines to extract, clean, and transform large datasets, enhancing data integrity and analysis speed.
  • Created interactive visualizations to communicate findings, enabling data-driven decision-making for stakeholders.
  • Applied natural language processing (NLP) techniques to text data, improving classification accuracy and model performance.
  • Collaborated with team members to deliver high-impact data science solutions for real-world applications.
Predictive ModelingData AnalysisData VisualizationMachine LearningData Science

Ai variant

Data Scientist Intern

Oct 2022May 2023 · 7 mos · Pune, Maharashtra, India · On-site

  • Applied advanced analytical techniques to solve complex business challenges, driving innovation and competitive advantage.
  • Collaborated with cross-functional teams to design and deliver high-impact, data-driven solutions aligned with organizational goals.
  • Proficient in Python, R, and SQL, with expertise in data visualization using Tableau, Power BI, and Advanced Excel.
  • Collected, cleaned, and analyzed large datasets using Python, SQL, and R to extract actionable insights.
  • Developed and deployed predictive models to identify key trends, patterns, and opportunities in business data.
  • Conducted sentiment analysis on financial statements using NLP techniques, enabling improved decision-making by senior management.
  • Created interactive dashboards and visual reports in Tableau and Power BI, enhancing data accessibility for stakeholders.
Data AnalysisSentiment AnalysisData VisualizationData ScienceNatural Language Processing (NLP)

Education

Dr. J. J. Magdum College of Engineering

Bachelor of Technology - BTech — Civil Engineering

Aug 2018Jul 2022

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