Ayush Ghosh headshot

Hi, I'm Ayush

AI PM | Advanced Analytics

... with 4 years of experience architecting AI-driven solutions, building production ML pipelines, and leading cross-functional teams to deliver scalable AI products. Expert in Python, LangChain, TensorFlow, AWS, and MLOps. Proven track record in translating business requirements into AI strategies that drive measurable ROI and operational excellence.
Available immediately (Open to relocate).

About Me

Milestones so far

Master of Computer Science & Data Science (Part-time)

University of Illinois - Urbana-Champaign
Jan 2024 – Present

AI PM (Data Science)

Sculptor Capital Management – New York
June 2025 – Present

Software Engineer II (Data & Cloud)

Humannity Medtec – Los Angeles
Aug 2024 – May 2025

Software Engineer I (Mobile Application)

Humannity Medtec – Los Angeles
Sep 2023 – July 2024

Master of Engineering Management

St Cloud State University
Aug 2022 – Aug 2024

Business Intelligence Research

St Cloud State University
Jan 2023 - Oct 2023

Decision Analytics Associate

ZS Associates – Pune
Jan 2021 – Jul 2022

Bachelor of Electronics & Communications Engineering

Thapar Institute of Engineering and Technology
Jul 2017 – Jul 2021

Program Manager – Entrepreneurship Cell

Thapar Institute
Sep 2017 – May 2020

Process Engineer Intern

UPRVUNL
Jun 2019 - Jul 2019

Process Engineer Intern

HINDALCO
Dec 2018 - Jan 2019

Global Supply Chain Data Scientist Intern

Asmara Group
Jun 2018 - Jul 2018

Social Media Data Scientist Intern

CoLinkers Events Management
Sep 2017 – Feb 2018

Skills

Technical & Non-Technical Expertise
Technical
Non-Technical

Languages

Python, SQL, Bash, C#, R, Java, C++, XAML, HTML, CSS, MATLAB

Machine Learning

TensorFlow, PyTorch, Keras, scikit-learn, XGBoost, LangChain, Hugging Face

Frameworks

.NET (Xamarin, MAUI), NUnit, Fast/FlaskAPI, pytest, Selenium

Data & Cloud

AWS (S3, EC2, Lambda, DynamoDB, Redshift), GCP (BigQuery), Spark, Hadoop, MongoDB

DevOps & MLOps

Docker, MLflow, Kubernetes, CI/CD, Git/GitHub, Postman

Visualization & BI

Plotly/Dash, Tableau, PowerBI, matplotlib, seaborn, Excel

Domain Knowledge

Healthcare & Medical Devices, Big Data Analytics, Regulatory (FDA/ISO), AI Ethics, Cloud Architecture, MLOps Workflows, Data Engineering Best Practices

Communication & Leadership

Presentation, Reporting, Documentation, Team Building, Stakeholder Management

Problem Solving

Root Cause Analysis, Critical Thinking, Continuous Learning

Time Management

Prioritization, Agile Planning

Professional Experience

Where I’ve worked

AI PM (Data Science)

June 2025 – Present | New York, NY Sculptor Capital Management
  • Built RAG-based AI solutions using LangChain and GPT-4o in Azure Foundry, automating Q&A and executive summaries, reducing report prep time by ~25%.
  • Engineered end-to-end data pipelines with Azure Data Factory and Databricks, leveraging Git-driven CI/CD to automate ETL and model deployment, cutting processing time by ~30%.
  • Designed time-series forecasting models with Python/Pandas and SQL to predict True-Up and cash-on-cash metrics, improving projection accuracy by ~12%.
  • Developed interactive Power BI dashboards consolidating financial and operational data, adopted by 4 teams for real-time reporting and accelerating insights by ~20%.

Software Engineer II (Data & Cloud)

Jul 2024 – May 2025 | Los Angeles, CA

Software Engineer I (Mobile Application)

Sep 2023 – Jul 2024 | Los Angeles, CA Humannity MedTec — Alfred Mann Foundation
  • Optimized implant-telemetry flow - cut sync delay 30% and achieved 99% uptime by writing the C# ingestion code, SQLite caching and AWS ETL (S3 + RDS + DynamoDB).
  • Built a log-manager dashboard (S3 events & DynamoDB) that improved remote debugging throughput by 40%.
  • Enabled 50% faster patient journey analysis by designing SQL views and Plotly graphs in the mobile app.
  • Designed Python EDA on 1 M+ respiratory / accelerometer signals, defining features for future sleep pattern models.
  • Increased test coverage to 85% unit / 90% UI with pytest and NUnit; served as Scrum Master, lifting sprint velocity 20%.

Decision Analytics Associate (Data Science)

Jan 2021 – Jul 2022 | Pune, India ZS Associates
  • Ingested 10 M+ records / month via Spark-on-EMR, loading Redshift for near-real-time KPIs.
  • Containerized XGBoost & Random Forest workflows on EC2 to improve experiment reproducibility.
  • Boosted physician engagement 30\% by converting residual model signals into keyword strategy.
  • Mapped patient journeys using PLD & survey data, guiding precise outreach; data insights helped double market share in 18 months./li>

Business Intelligence Researcher

Jan 2023 – Oct 2023 | St. Cloud, MN St. Cloud State University
  • Optimized implant-telemetry flow—cut sync delay 30% and achieved 99% uptime by writing the C# ingestion code, SQLite caching and AWS ETL.
  • Built a log-manager dashboard (S3 events & DynamoDB) that improved remote debugging throughput by 40%.

Program Manager (Volunteer)

Sep 2017 – May 2020 | Patiala, India Enterpreneurship Development Cell
  • Managed a 150+ member team at the Entrepreneurship Development Cell, mentoring startups and securing $190K in funding.
  • Led digital content strategy and market research at CoLinkers Event Management, boosting event visibility and engagement by 20%.

Process Engineer (Intern)

Jun 2019 – Jul 2019 | Sonebhadra, India UPRVUNL
  • Analyzed SCADA and DCS data, collaborated with the Control and Instrumentation department, achieved 15% downtime reduction through data-driven optimization of equipment and processes.

Process Engineer (Intern)

Dec 2018 – Jan 2019 | Sonebhadra, India HINDALCO
  • Analyzed data produced by Supervisory Control and Data Acquisition (SCADA) systems to discover trends, patterns, and anomalies in temperature, pressure, and other important indicators in a power generating unit for an aluminum and copper manufacturing facility.

Global Supply Chain Data Scientist (Intern)

Jun 2018 – Jul 2018 | Gurugram, India Asmara Group
  • Contributed to international supply chain operations by supporting the relationships with suppliers across 18 countries. Assisted in the development and implementation of a supplier scorecard that reduced defects by 3%.

Social Media Data Scientist (Intern)

Sep 2017 – Feb 2018 | Patiala, India CoLinkers Events Management
  • Combined data analysis and content marketing expertise to optimize digital content strategy for website, social media, and email newsletters. Conducted market research and used SEO techniques to increase online visibility and contributed to successful event outcomes.

Education

Degrees & Certifications

Master of Computer Science (Part-time)

University of Illinois Urbana-Champaign Jan 2024 – Present | Champaign, IL
  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Cloud Computing
  • Database Systems

Master of Engineering Management

St. Cloud State University Aug 2022 – Aug 2024 | St. Cloud, MN
  • Big Data
  • Quality Engineering
  • Project Management

Bachelor in Engineering of Electronics & Communications

Thapar Institute of Engineering & Technology Jul 2017 – Jul 2021 | Patiala, India
  • Data Structures & Algorithms
  • Operating Systems
  • Object Oriented Programming
  • Machine Learning
  • Biomedical Signal Processing

Certified Six Sigma Green Belt

Minnesota West Community and Technical College Sep 2023

Certified Associate in Engineering Management

American Society for Engineering Management Oct 2024

AI Product Management (Specialization)

Duke University (Coursera) Jun 2023

Data Science (Specialization)

IBM (Coursera) Jun 2023

Software Development Lifecycle (Specialization)

University of Minnesota (Coursera) Jun 2023

Project Management (Specialization)

Google (Coursera) May 2023

Data Analytics (Specialization)

Google (Coursera) Jul 2022

Machine Learning (Specialization)

Stanford University (Coursera) Feb 2023

Prompt Engineering

Vanderbilt University (Coursera) Jun 2023

Projects & Publications

Most recent works
Academic World Dashboard

Academic World Dashboard

FastAPI, Dash/Plotly, MySQL / MongoDB / Neo4j

  • Designed and deployed full-stack Dash dashboard, handling 100k+ daily requests with containerized microservices.
  • Implemented advanced graph queries in Neo4j to uncover research collaborations, increasing stakeholder insight by 60%.
View Demo
Personalised Loyalty Model

Personalised Loyalty Model

XGBoost on AWS EC2 – ASEM 2023 Paper

  • Developed and tuned the XGBoost recommendation engine, achieving 98.8% accuracy on customer retention predictions.
  • Visualized model output with interactive dashboards in Tableau to guide marketing strategy, increasing campaign ROI by 25%.
Read Paper
AI Resume Generator

AI Resume Generator

LangChain, FAISS, GPT-4

  • Built a RAG pipeline using LangChain and FAISS for vector similarity search, achieving 92% relevance on test queries.
  • Implemented GPT-4 integration to generate ATS-optimized resumes and cover letters from job descriptions, reducing manual drafting time by 80%.
Demo
Mobile App UI

Mobile App UI/UX

Figma, Balsamiq, User research

  • Designed 15+ Figma/Balsamiq Mobile app screens based on user research; validated UX through stakeholder walkthroughs, reducing rework by 30%.
Demo

Testimonials

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