Shreyas Karle
Turning complex datasets into clear business insights. Experienced in building dashboards, exploratory analysis, and delivering data-driven reports for operations and product teams.
Get to know me
About Me
Shreyas Karle
Data Analyst
Dublin, Ireland · Pune, India
I'm a Data Analytics graduate with a strong track record in SQL, Python, and BI tools. I specialise in transforming complex, messy datasets into clear, actionable business insights that operations and product teams can actually use.
From building ML-based risk scoring models to deploying real-time Streamlit dashboards and orchestrating ELT pipelines on Snowflake, I thrive at every layer of the data stack. Based between Dublin and Pune, and open to new opportunities in data analytics and engineering.
Dashboard Builder
Power BI, Tableau & Streamlit dashboards that communicate insights at a glance.
Data Pipeline Expert
End-to-end ETL/ELT with dbt, Snowflake, Airflow and PostgreSQL for clean data at scale.
ML Practitioner
XGBoost, SHAP, and Scikit-learn for predictive models with transparent explainability.
Analytics Graduate
M.Sc. Data Analytics (DCU) with strong foundations in stats, ML, and data management.
What I work with
Technical Skills
Skill Proficiency Overview
self-assessed / 100
Data & Analytics
Machine Learning
Data Applications
Career journey
Work Experience
Operations Associate
- Built and tracked operational KPIs for inventory, fulfillment, and SLA compliance.
- Created daily and weekly performance reports used by operations and management teams.
- Analyzed stock movement, errors, and delays to improve fulfillment accuracy.
- Maintained clean, reliable WMS data for reporting and audits.
Database Specialist
- Analyzed MongoDB and MySQL datasets to identify slow queries and data bottlenecks.
- Improved reporting and query performance by 30% through schema optimization.
- Built dashboards to visualize key metrics for 50+ users.
- Implemented data validation and access control for clean, reliable datasets.
Software Development Intern
- Built a health analytics platform handling 1M+ patient records; improved decision accuracy by 15%.
- Used AI-based summarization and data pipelines to clean and prepare data for analysis.
- Delivered documented, transparent pipelines; achieved 95% client satisfaction.
What I've built
Featured Projects
Blinkit Ops
Delivery Risk & Operations Intelligence
End-to-end operations analytics platform using PostgreSQL, SQL, and Python to monitor delivery performance and identify delay drivers. Features an ML-based risk scoring model (XGBoost) and SHAP explainability for per-order insights.
ELT Data Pipeline
dbt / Snowflake / Airflow
Automated ELT pipeline that transformed raw Snowflake TPCH datasets into staging, intermediate, and fact models with dbt. Includes dbt tests for data quality (nulls, duplicates, relationships) and Power BI dashboards on transformed datasets.
Near-Earth Asteroid Monitor
Live NASA NEO Dashboard
Real-time asteroid tracking dashboard using NASA's NeoWs API, refreshing every 5 minutes. Includes a custom threat scoring model (0–100) weighting proximity, size, and velocity, plus a 3D Plotly orbit viewer. Deployed on Streamlit Cloud.
Academic background
Education & Certs
Degrees
M.Sc. in Computing (Data Analytics)
2024 – 2025Dublin City University (DCU)
Dublin, Ireland
Practicum: Multimodal Fake News Detection System with Explainable AI (SHAP).
Master's in Computer Applications
2022 – 2024MES I.M.C.C
India
B.B.A (Computer Applications)
2019 – 2022MES Senior College
India
Certifications
GenAI Powered Data Analytics
Statistics for Data Science and Business Analytics
Publications
Building Scalable Analytics Pipelines with dbt and Snowflake
2025Best practices for modeling, testing, lineage, and orchestration.
MediumLet's connect
Get In Touch
Whether you have a role in mind, want to discuss a data project, or just want to connect — my inbox is always open. I typically respond within 24 hours.
shreyaskarleirl@gmail.com
linkedin.com/in/shreyaskarle
GitHub
github.com/shrek6201
Phone (IE)
+353 89 975 3406
Phone (India)
+91 737 839 5919