Kaumil Mistry
Data Scientist with over 6+ years of experience in data analysis, machine learning, and web development. Specializing in AI, predictive analytics, and end-to-end data pipelines.
Core Skills & Technologies
Comprehensive toolkit for bridging the gap between raw data streams and generative intelligence.
Data Science & Analytics
Power BI, Tableau, Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly, PySpark), AWS Glue, ETL/ELT Pipelines, Snowflake.
Data Mining & Cloud
SQL, NoSQL, MongoDB, PostgreSQL, Azure Databricks. AWS, Azure, GCP, Azure ML, SageMaker, Docker, CI/CD, MLflow.
Machine Learning & AI
Scikit-learn, Generative AI, Model Deployment Pipelines, Model Monitoring, Result Validation & Documentation.
Generative AI
LLMs, Ollama, Gemini API, OpenAI API, RAG workflows, LLMOps, Agentic AI applied to real-world business optimization.
Professional Trajectory
A linear progression of deploying data structures globally.
Data Scientist
- arrow_forward_iosLead a data science team delivering high-impact solutions across finance and product development using ML, SQL, Power BI, and Generative AI, owning the full lifecycle.
- arrow_forward_iosDrive advanced analytics initiatives including credit risk scorecard modelling, NLP, and GenAI use cases (LLMs, prompt engineering, RAG) with algorithms like XGBoost.
- arrow_forward_iosDesign and optimize scalable, cloud-based data pipelines using Python, PySpark, and SQL to support end-to-end AI/GenAI workloads.
Data Scientist
- arrow_forward_iosPerformed data analysis and visualization using SQL, Power BI, and Python, delivering interactive dashboards.
- arrow_forward_iosBuilt and deployed ML, Deep Learning, and Generative AI solutions on Azure ML and AWS SageMaker using Databricks, RAG, and vector databases.
- arrow_forward_iosImplemented RESTful APIs, MLOps, and optimized Snowflake-based data pipelines for scalable cloud analytics.
Technical Analyst
- arrow_forward_iosDesigned SQL databases, integrated multi-source data, and built robust ETL pipelines.
- arrow_forward_iosDeveloped business intelligence dashboards using Tableau for data-driven strategic decisions.
- arrow_forward_iosApplied statistical analysis and ML to extract insights and improve outcomes while customizing Epicor ERP systems.
Data Scientist / Web Developer
- arrow_forward_iosSuccessfully transitioned from a Web Developer role to Data Scientist role.
- arrow_forward_iosDeveloped web applications via Python/Django, PHP, PostgreSQL prior to pivot.
- arrow_forward_iosBuilt ML models for predictive analytics, integrated marketing tracking, and built Power BI dashboards.
The Mind Behind the Machine
I am a Data Scientist at Think 360 Analytics, bringing over 6 years of expertise in data analysis, machine learning, and comprehensive web development architecture. Focused heavily on designing systems that utilize SQL, Python, Power BI, and Tableau to extract structured logic and strategic narratives.
My experience spans constructing massive data pipelines, executing MLOps configurations across AWS, Azure, and GCP, and successfully deploying GenAI tools via tailored RAG workflows and robust vector databases. I have a track record of driving cross-functional teams to deliver enterprise data-driven solutions for banking risk optimization and product development.
Technical Stack
Education
M.Sc. Data Science
Symbiosis Skills & Prof. Univ. (2021-2023)
B.Sc. IT
Indus University (2018-2021)
Featured Projects
Practical application of Generative Intelligence and Data Science models.
Gen AI Application
Developed scalable Generative AI applications leveraging LLMs via Ollama, Gemini API, and OpenAI for Finance and Healthcare. Built intelligent pipelines for document processing and RAG.
Score Card Modelling
Built robust credit risk models at Think360 AI. Collaborated with multiple banks to develop, validate, and deploy predictive models using XGBoost & GBM for risk assessment.
Data Visualization Engine
Comprehensive BI solution processing 1M+ rows of finance data to deliver real-time operational insights via Tableau and Power BI.
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