Pratyush Ingale

Co-Founder

Arlington, Texas, United States2 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Successfully deployed 13 fraud detection models.
Engineered AI-powered reporting systems.
Designed cost-optimized data architecture.

Stackforce AI infers this person is a Data Scientist with expertise in Fintech and Education sectors.

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Skills

Core Skills

Machine LearningData EngineeringData AnalysisBusiness AnalysisProject ManagementTeam LeadershipData ScienceAi DevelopmentData ManagementData VisualizationNatural Language ProcessingFull Stack DevelopmentCloud ComputingTeaching

Other Skills

SnowflakePythonAgileRetrieval-Augmented GenerationSemantic SearchAI WorkflowsData MigrationGeospatial Data VisualizationSentiment AnalysisJavaSpring BootAWSTableauExtract, Transform, Load (ETL)Automation

About

I am a Master’s student in Data Science at the University of Texas at Arlington, with prior industry experience as an Associate Software Engineer at NICE Interactive Solutions. My background blends data science, machine learning, Snowflake-based data engineering, and full-stack development using Java Spring Boot and Angular. I specialize in building scalable, production-ready ML systems, working across the entire lifecycle—from data preparation and model development to deployment, monitoring, optimization, and maintenance. I have hands-on experience with MLOps workflows, including version control, pipeline automation, performance tracking, and continuously improving models based on drift and business requirements. My technical strengths include Python, SQL, Snowflake (Snowpark, data pipelines, and ML execution), cloud integrations, Tableau, Power BI, and statistical modeling. I focus on delivering business impact through well-designed ML solutions that are reliable, explainable, and aligned with organizational goals. What sets me apart is the combination of technical depth, analytical thinking, and a strong understanding of how data solutions must scale, evolve, and remain maintainable in real business environments. I bring clear communication, collaboration, and a proactive mindset to every team I work with.

Experience

2 yrs 1 mo

Total Experience

1 yr

Average Tenure

Current Experience

Promazo

Data Science Intern

Feb 2026 – Present · 4 mos · United States · Remote

CHG Healthcare (Client) engagement
Deployed 13 production fraud detection models to Snowflake (dbt) monitoring 40.7M payroll records, $167.4M in payments, and
155K external user accounts - raising detection maturity from 43% to 80% against PwC benchmarks.
Built z-score anomaly detection framework flagging 609 payroll modification outliers (max z=10.23) and 352 payment anomalies,
validated with cross-functional stakeholders to eliminate false positives before production deployment.
Engineered AI-powered daily fraud reporting using Snowflake Cortex (Claude) and Claude Code skills - automated signal
summarization across 4 detection workstreams, replacing manual analysis with on-demand natural language reports.
Designed cost-optimized data architecture reducing Okta connector footprint by 99.3% (16.4GB to 93MB) - presented ROI trade-
off analysis to leadership, splitting 12 signals between Okta native features and Snowflake cross-system models.
Led Agile sprints across InfoSec, Payroll, and Workday teams via Jira - defined acceptance criteria, managed PRs through code
review, and delivered executive status reports tracking 5 PwC threat scenarios.

SnowflakePythonMachine LearningData AnalysisData VisualizationData Engineering

The university of texas at arlington

2 roles

Graduate Research Assistant

Aug 2025 – May 2026 · 9 mos

Researched and prototyped AI-enabled OER library systems using Retrieval-Augmented Generation (RAG) to ground LLM responses in curated academic books, articles, and open datasets.
Designed semantic search and knowledge-retrieval pipelines leveraging embeddings and vectorized OER content to enable accurate, context-aware student queries.
Developed AI-driven educational workflows demonstrating the use of free/open-source LLMs, prompt engineering, and responsible AI practices in academic projects.
Created technical documentation and instructional material on AI attribution, licensing, and open-access compliance, ensuring ethical and reproducible use of AI outputs.
Collaborated with librarians and faculty to align LLM architecture, data governance, and digital scholarship, enhancing scalable and trustworthy AI integration in academic libraries.

Retrieval-Augmented GenerationSemantic SearchAI WorkflowsData ScienceAI Development

Graduate Student Assistant (Research)

Mar 2025 – Aug 2025 · 5 mos

Managing MavMatrix, UTA’s digital repository, supporting research preservation and access.
Automated legacy data migration using Python, standardized metadata with MARC/Dublin Core.
Created geospatial data visualizations using ArcGIS to map research engagement and collection origins.
Conducting research on RAG-based LLM tools to help professors auto-curate quizzes from academic content using LangChain, FAISS, and open-source LLMs.

PythonData MigrationGeospatial Data VisualizationData ManagementData Visualization

Sentimentsense

Founder

Jul 2024 – Aug 2024 · 1 mo · Remote

Founded SentimentSense, enabling 3 businesses to analyze customer feedback for actionable insights.
Conducted workshops for over 15 participants on data-driven insights using Natural Language Processing (NLP).
Built sentiment analysis tools using Python, TextBlob and Jupyter Notebook with interactive reports in Power BI/Tableau.

Natural Language ProcessingSentiment AnalysisData Science

Nice

Associate Software Engineer

Jul 2023 – Jun 2024 · 11 mos · Pune District · Hybrid

Worked as an Associate Software Engineer, specializing as a full stack developer using Java Spring Boot and Angular.
Extensively utilized the Snowflake big data platform.
Managed CI/CD pipelines using Jenkins.
Worked on AWS cloud services, primarily S3 buckets, CloudWatch, and Lambda functions.
Experienced with GitHub.
Followed Agile

JavaSpring BootAWSSnowflakeFull Stack DevelopmentCloud Computing

Exposys data labs

Data Scientist

Sep 2022 – Oct 2022 · 1 mo · Bengaluru, Karnataka, India

Designed a machine learning model to predict company profits with an R-squared score of 0.85.
Employed regression algorithms (Linear, Decision Tree, and Random Forest) to evaluate model performance.
Identified 3+ feature engineering opportunities to enhance model accuracy.

PythonMachine LearningData AnalysisData Science

The sparks foundation

Data Scientist

Aug 2021 – Sep 2021 · 1 mo

Worked on a live project performing Exploratory Data Analysis (EDA) on the Global Terrorism dataset.
Identified terrorism hot zones and derived security insights through EDA.
Utilized frameworks such as Python, Tableau, Excel, and MySQL.

Data AnalysisPythonTableauBusiness Analysis