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I’m a data analyst/AI-ML professional based in Chicago with a proven track record of turning data into strategic actions. I specialize in predictive modeling, ETL development, cloud analytics, and data visualization to empower executive decision-making. I enjoy mentoring junior analysts and collaborating with cross-functional teams to translate complex insights into tangible business impact. In past roles at McKinsey and Airbnb, I delivered measurable outcomes including revenue protection, cost optimization, and significant reductions in manual workloads. I thrive on solving challenging data problems,building scalable pipelines, and delivering clear, interactive dashboards that accelerate decision-making.…I’m a data analyst/AI-ML professional based in Chicago with a proven track record of turning data into strategic actions. I specialize in predictive modeling, ETL development, cloud analytics, and data visualization to empower executive decision-making. I enjoy mentoring junior analysts and collaborating with cross-functional teams to translate complex insights into tangible business impact. In past roles at McKinsey and Airbnb, I delivered measurable outcomes including revenue protection, cost optimization, and significant reductions in manual workloads. I thrive on solving challenging data problems,building scalable pipelines, and delivering clear, interactive dashboards that accelerate decision-making.

SHREERAM HIRIYANNA

Data Analyst, Data Scientist, AI Engineer, +2

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I’m a data analyst/AI-ML professional based in Chicago with a proven track record of turning data into strategic actions. I specialize in predictive modeling, ETL development, cloud analytics, and data visualization to empower executive decision-making. I enjoy mentoring junior analysts and collaborating with cross-functional teams to translate complex insights into tangible business impact. In past roles at McKinsey and Airbnb, I delivered measurable outcomes including revenue protection, cost optimization, and significant reductions in manual workloads. I thrive on solving challenging data problems,building scalable pipelines, and delivering clear, interactive dashboards that accelerate decision-making.…I’m a data analyst/AI-ML professional based in Chicago with a proven track record of turning data into strategic actions. I specialize in predictive modeling, ETL development, cloud analytics, and data visualization to empower executive decision-making. I enjoy mentoring junior analysts and collaborating with cross-functional teams to translate complex insights into tangible business impact. In past roles at McKinsey and Airbnb, I delivered measurable outcomes including revenue protection, cost optimization, and significant reductions in manual workloads. I thrive on solving challenging data problems,building scalable pipelines, and delivering clear, interactive dashboards that accelerate decision-making.

Available to hire

I’m a data analyst/AI-ML professional based in Chicago with a proven track record of turning data into strategic actions. I specialize in predictive modeling, ETL development, cloud analytics, and data visualization to empower executive decision-making. I enjoy mentoring junior analysts and collaborating with cross-functional teams to translate complex insights into tangible business impact.

In past roles at McKinsey and Airbnb, I delivered measurable outcomes including revenue protection, cost optimization, and significant reductions in manual workloads. I thrive on solving challenging data problems,building scalable pipelines, and delivering clear, interactive dashboards that accelerate decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI/ML Analyst / Data Analyst at McKinsey & Company

April 1, 2025 - Present

Analyzed 1.8M+ monthly customer transaction records using Python and TensorFlow-based classification models to identify sentiment and behavioral trends, reducing the client’s manual audit workload by 420 hours per quarter. Interpreted data processed by AWS Glue and stored in S3, optimizing to Parquet for faster Athena queries. Produced interactive Tableau dashboards from Snowflake and PostgreSQL datasets for 10+ client exec teams, reducing ad-hoc data requests by 400 annually. Compiled SQL-driven KPI reports for 12 client workstreams with Airflow-refresh, delivering timely insights on cost optimization and resource allocation. Evaluated XGBoost and scikit-learn churn models via AWS SageMaker, translating outputs into retention strategies that boosted client revenue by $15M annually. Monitored Airflow workflows for 300+ analytics jobs, ensuring data availability and SLA compliance. Guided 5 junior analysts on client engagements, accelerating delivery by ~4 weeks. Investigated anomalie

AI Product Manager / Data Analyst at Illinois Institute of Technology

February 1, 2025 - April 1, 2025

Led trend analysis on 20K+ application sessions to inform enrollment strategy and AI feature enhancements. Defined product requirements and created Jira-tracked user stories for an LLM-powered chatbot using LangChain, OpenAI API, and Hugging Face Transformers, reducing query resolution time by 3.5 minutes per request. Orchestrated an A/B testing framework to evaluate adoption of AI-assisted advising tools and informed future product iterations. Designed SQL queries and Python scripts to clean, transform, and analyze 500K+ academic records, ensuring high-quality datasets for analytics and model training. Built interactive Power BI dashboards connected to PostgreSQL and Snowflake to deliver real-time student engagement metrics to 4 departmental heads, reducing weekly reporting effort by 12 hours.

Data Analyst at Airbnb (India)

May 1, 2019 - October 1, 2022

Engineered Python-based ETL workflows processing 15M+ booking and transaction records, reducing reporting turnaround by 48 hours per cycle. Designed interactive Tableau and Power BI dashboards with row-level security for 8 global markets, enabling regional teams to respond to occupancy changes within 24 hours. Developed predictive models in scikit-learn and XGBoost to forecast cancellations, preventing $600K in potential annual revenue loss. Orchestrated multi-source ingestion pipelines using Apache Airflow and AWS S3, reducing daily refresh time by 3 hours. Applied PostGIS spatial analysis to identify high-demand travel areas, contributing to 18K additional bookings through targeted marketing.

Data Analyst Intern at Airbnb (India)

October 1, 2018 - April 1, 2019

Assisted marketing teams with A/B test tracking and built basic Python visualizations to analyze campaign outcomes. Supported automation of recurring reports using SQL and Python, reducing manual effort for senior analysts. Expanded Tableau skills through mentorship and contributed to team projects.