Dattatray Bodake
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Dattatray Bodake

Dattatray Bodake

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Dynamic Data Scientist skilled in ML, NLP, RAG chatbots, and predictive analytics, leveraging Python, SQL, and AI to deliver impactful data-driven solutions.
Pune, Maharashtra, India

Contact Dattatray regarding: 

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Full-time jobs
Starting at USD1K/month
Flexible work
Starting at USD3/hour
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Internships
Starting at USD300/month
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Finding candidates
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Finding mentors
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Timeline

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Résumé

Jobs verified_user 0% verified
  • RWS GROUP Moravia
    S
    Upwork
    Freelancer public Remote experience
    RWS GROUP Moravia, Soul AI, Upwork
    Aug 2024 - Current (11 months)
    Performed high-quality data annotation and data transcription for machine learning projects, ensuring accuracy and consistency. •Conducted data cleaning, processing, and transformation to support predictive and NLP models. •Delivered data science solutions through Upwork, focusing on exploratory data analysis, feature engineering, and model deployment. •Collaborated with clients to meet project requirements and deliver actionable insights within deadlines. Also build Personal Chatbot.
  • S
    AI Prompt Engineer public Remote experience
    Soul AI
    Sep 2023 - Current (1 year 10 months)
    •Trained state-of-the-art Large Language Models (LLMs) to enhance model accuracy by 25% and efficiency by 30%. •Facilitated Reinforced Learning through Human Feedback (RLHF) to fine-tune AI models, contributing to improved performance. •Reviewed and generated technical content, ensuring alignment with project requirements and objectives. •Collaborated with global partners to design and execute customized prompts for LLM ChatBot resulting in a substantial enhancement in AI model performance tailored to project specifications.
  • O
    Data Scientist Intern
    OASIS INFOBYTE
    Jun 2023 - Aug 2023 (3 months)
    As a Data Science Intern at Oasis Infobyte, I contributed to diverse data science projects, applying my skills in machine learning, data analysis, predictive modeling, natural language processing, and data visualization. I leveraged programming languages like Python and R, along with frameworks such as TensorFlow and scikit-learn, for hands-on experience in real-world scenarios. My responsibilities included utilizing data manipulation tools like SQL, PyTorch and Pandas to extract meaningful insights, thereby enhancing my practical knowledge and skills in the dynamic field of data science. Through this internship, I gained valuable experience and contributed to the success of impactful data projects at Oasis Infobyte.
  • A
    Data Scientist Intern
    Ai Variant,
    Oct 2022 - May 2023 (8 months)
    Data Scientist with experience in applying advanced analytical techniques to solve complex business problems. Passionate about using data to drive innovation and competitive advantage. Proven track record of collaborating with cross-functional teams to deliver high-impact data-driven solutions. Proficient in programming languages such as Python, R, and SQL, and experience working with data visualization tools like Tableau, Power BI, and Advanced Excel. Gained hands-on experience in various aspects of data science including data collection, cleaning, and analysis using programming languages such as Python, TensorFlow, PyTorch, SQL, and R. Developed and implemented predictive models to identify trends and patterns in data. Conducted sentiment
Education verified_user 0% verified
  • S
    Bachelor of Technology - BTech, Civil Engineering
    Shivaji University
    Aug 2018 - Jul 2022 (4 years)
    First Class with Distinction A+ Grade CGPA - 8.9
  • M
    HSC, Science
    Maharashtra State Board of Secondary and Higher Secondary Education MSBSHSE
    Jun 2017 - Jun 2018 (1 year 1 month)
    Percentage - 72%
  • M
    SSC
    Maharashtra State Board of Secondary and Higher Secondary Education MSBSHSE
    Jun 2015 - Mar 2016 (10 months)
    Percentage - 89.20%
Projects verified_user 0% verified
  • R
    Retrieval-Augmented Generation (RAG)-Based Medical Chatbot for Healthcare Assistance public Remote experience
    Jun 2024 - Aug 2024 (3 months)
    •Developed an end-to-end Retrieval-Augmented Generation (RAG) pipeline using the MedQuad dataset for a medical chatbot that leverages advanced AI for precise and contextually relevant answers. •Integrated Pinecone for vector storage and similarity search, enabling efficient retrieval of relevant medical documents based on user queries. •Implemented Hugging Face embeddings to convert medical text data into vector representations, ensuring high-quality document retrieval for better context understanding. •Used Google Gemini API for answer generation, ensuring accurate and concise medical responses tailored to user queries. •Deployed the chatbot on Render, with automatic scaling and seamless integration with GitHub for CI/CD, enabling real-tim
  • A
    AgroInsight-Precision-Agriculture-through-Smart-Crop-Recommendations
    Jan 2024
    I am excited to share a recent project where I developed a Crop Recommendation System using machine learning. This system provides personalized crop recommendations based on input parameters such as nitrogen, phosphorus, potassium levels, temperature, humidity, pH, and rainfall. Leveraging a Random Forest classifier, the model achieves a remarkable accuracy rate of 99%. The web application is built using Flask for the backend and HTML/CSS for the frontend, providing an intuitive user interface. Additionally, the system dynamically changes the background image based on the predicted crop, creating a visually engaging experience. This project showcases my proficiency in machine learning, web development, and creative problem-solving. Check o
  • A
    AI Model Deployment with Kubernetes - Quora Questions Similarity Prediction
    Nov 2023 - Dec 2023 (2 months)
    Developed a Quora Questions Similarity Prediction system using TensorFlow for accurate predictions. Implemented a Python web service that logs results in MySQL, ensuring efficient user interaction. Skills Used: Machine Learning, TensorFlow, Python, MySQL, Web Service Development, NLP
  • A
    AI-powered chatbot for document retrieval using LangChain
    • Developed an AI-powered chatbot using OpenAI's GPT-3.5-turbo model integrated with Langchain and Streamlit, enabling document-based queries on a collection of PDFs. • Implemented efficient document indexing and similarity search using Pinecone, enhancing retrieval capabilities for relevant information within PDF documents. • Designed a user-friendly Streamlit interface with customized theming, optimizing aesthetics and user experience for seamless interaction with the AI chatbot and document retrieval system.