Basavaraj Kashinath
Bengaluru
Summary
I am an innovative and results-oriented Data Scientist with 3 years of experience specializing in building advanced AI-powered chatbot solutions and data analytics systems. I have proven expertise in Retrieval-Augmented Generation (RAG), Large Language Model (LLM) operations, and data cleaning, with a strong background in creating BI dashboards. My goal is to deliver impactful, scalable AI-driven applications.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Data Scientist
V-Align Technologies Pvt Ltd
Bengaluru
06.2022 - Current
- Designed and implemented an AI-driven chatbot using GPT models, LangChain and RAG pipelines, reducing operational load by 30%
- Enhanced LLM performance by fine-tuning and applying advanced prompt engineering techniques leveraging state-of-the-art LLM models for accurate results.
- Worked on multiple embedding models, including Hugging Face transformer-based models and OpenAI embedding models.
- Led API integration and testing for seamless communication between chat bot and and front end. and other machine learning models.
- Directed Zoho Analytics client projects, integrating data and delivering tailored dashboards to enhance decision-making
- Processed and maintained structured data to ensure data quality and reliability
- Created dynamic visualization dashboards, presenting actionable insights to key stakeholders
- Designed and implemented an AI-driven chatbot using GPT models, LangChain, and RAG pipelines, reducing operational load by 30%.
- Collaborated with cross-functional teams to integrate AI solutions into core products, aligning with business objectives
- Deployed scalable AI/ML solutions on AWS using EC2 ensuring cost efficiency
- Utilized vector databases such as Pinecone to handle embeddings efficiently for scalable AI applications
- Applied spaCy and NLTK for additional enhancements in the AI-driven chatbot's NLP capabilities
Data Scientist Intern
AI Variant
Bengaluru
10.2021 - 06.2022
- Developed classification and regression models to address business challenges and enhance prediction accuracy.
- Deployed production-ready machine learning models using Flask, streamlining real-world workflows.
- Conducted exploratory data analysis (EDA) to uncover hidden patterns and trends, visualizing them for effective communication.
- Focused on data preparation, feature engineering, PCA, and the integration of machine learning models into practical applications.
Education
Bachelor of Engineering - Civil Engineering
Basaveshwara Engineering College
Bagalkot, India08.2018
Skills
- Python programming
- SQL databases
- Database management
- Deep learning
- Machine learning
- Natural language processing
- BI tools expertise
- Feature engineering
- Data wrangling
- Scikit-learn
- REST APIs
- Data Manipulation with Pandas
- NumPy
- Git
- Flask
- Supervised learning
- Unsupervised learning
- Feature selection
- TensorFlow
- PyTorch
- LangChain
- Retrieval-Augmented Generation
- Hugging Face
- SpaCy
- NLTK
- Fine-tuning
- Prompt engineering
- Zoho Analytics
- Matplotlib
- Seaborn
- AWS (EC2)
- Vector Database
- Statistical analysis
- Data wrangling
Certification
Data Science Certificate, ExcelR Solutions
Accomplishments
Commitment to New Technology Initiative, Awarded for implementing AI-driven solutions in workflows.
Projects
- AI-Driven Chatbot: Built an advanced chatbot using GPT and LangChain, reducing customer response time by 50%, and integrated a Retrieval-Augmented Generation (RAG) pipeline to access contextual information from a SQL and vector database Conducted extensive prompt engineering and fine-tuning to customize the chatbot for specific use cases Incorporated advanced embedding models, like Hugging Face transformer-based models and OpenAI embeddings, to enhance data retrieval accuracy, and utilized spaCy and NLTK to further improve NLP functionalities in the chatbot.
- Zoho Analytics Dashboards: Delivered client-specific, interactive dashboards and reports using Zoho Analytics, and automated data transformation processes, reducing reporting time by 40% Improved operational efficiency and strategic planning through tailored analytics solutions.
- Machine Learning Project on Regression and Classification: Developed regression and classification models to address business challenges Improved prediction accuracy by 15% over the baseline using Scikit-learn . Conducted feature engineering and optimized data pipelines for reliable models
Interests
- Data Science
- AI ethics
Timeline
Data Scientist
V-Align Technologies Pvt Ltd
06.2022 - Current
Data Scientist Intern
AI Variant
10.2021 - 06.2022
Bachelor of Engineering - Civil Engineering
Basaveshwara Engineering College
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