Tulsi Das

AI Researcher

Gurugram, Haryana, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Machine Learning and Generative AI.
Proven track record in building AI solutions.
Strong analytical skills with high accuracy in models.

Stackforce AI infers this person is a Data Scientist specializing in AI solutions for Healthcare and Business Analytics.

Contact

Skills

Core Skills

Machine LearningGenerative AiData Science

Other Skills

Analytical SkillsAspen PlusAzureCPPCommunicationConvolutional Neural Networks (CNN)Data AnalysisData VisualizationData-driven Decision MakingDeep LearningDocker ProductsEntrepreneurshipExploratory Data Analysis (EDA)Extract, Transform, Load (ETL)FAISS

About

I am Tulsi, specializing in Machine Learning, and Generative AI (NLP). Experienced in building end-to-end AI solutions using Python, Large Language Models. I actively contribute to various data science and machine learning projects in open communities at my college, enhancing my practical skills.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Neolytix

Machine Learning Engineer

Jul 2025 – Present · 10 mos · Gurugram, Haryana, India · Hybrid

Built intelligent Medical Billing AI chatbot using Microsoft 365 Agents Toolkit for private knowledge base.
Implemented enhanced hybrid information retrieval system combining FAISS search and TF-IDF for Microsoft Teams chatbot.
Integrated RAGAS evaluation framework to assess retrieval and generation quality against ground-truth.
Deployed the Agentic AI chatbot on Microsoft Azure cloud infrastructure for secure Microsoft Teams user access.

Microsoft 365 Agents ToolkitFAISSRAGASMicrosoft AzureMachine LearningGenerative AI

Tata aig general insurance company limited

Data Science Intern

May 2024 – Jul 2024 · 2 mos · Mumbai, Maharashtra, India · On-site

Conducted EDA on 1 million customers data across all main channels to identify key factors affecting retention.
Designed an optimal GWP pricing strategies to reduce churn risk, improving business conversion rates.
Build customer retention prediction model using XGBoost Classifier, achieving84% accuracy and 0.85 F1 score through hyperparameter tuning.
Developed interactive Power BI dashboard for real-time customer retention monitoring and business insights.

Exploratory Data Analysis (EDA)XGBoost ClassifierPower BIData ScienceMachine Learning