Data Engineering & Analytics
ETL PipelinesData ValidationSchema AuditingJSON ParsingReporting Automation
Deepak KumarData Engineer / Analytics Engineer
From complex data to confident decisions.
I connect data engineering, business analysis and decision-ready BI—shaped by five years at TCS and an MSc in Data Science.
5+Years at TCS
MScData Science · 2026
DP-600Microsoft Fabric certified
EUBased in Verona, Italy
01About
Business context meets engineering discipline.
I started in software and data development for financial services, then moved closer to the questions behind the systems—requirements, processes, stakeholders and outcomes.
At TCS, that path grew from maintaining critical data workflows into shaping HRMS analytics, semantic models, automated validation and executive reporting for the Chroma team on the Würth account.
My MSc in Data Science at the University of Verona adds machine learning and research depth. I am now focused on data and analytics engineering: dependable pipelines, well-designed models and BI that people can trust.
English · FluentItalian · A2German · A1Hindi · Native
02Capabilities
A practical stack, grounded in delivery.
Tools and methods used across analytics, software delivery, business analysis and applied data science.
BI & Semantic Modeling
Power BIDAXPower QueryStar SchemaKPI Dashboards
Programming
PythonPandasNumPyScikit-learn
Databases
SQLPostgreSQLMySQLWindow Functions
Business Analysis
BRD / SRS / SOPStakeholder ManagementProcess MappingGap AnalysisUATRoot Cause Analysis
AI / LLM Tooling
Prompt EngineeringRAGEmbeddingsMCPAPI IntegrationAI Coding Agents
03Experience
Five years across systems, data and business change.
Jan 2023 — May 202601
Tata Consultancy Services · Chroma team · Würth account
Business Analyst — HRMS
- Led requirement-gathering workshops across Agile sprints and wrote BRD, SRS and SOP documentation for executive client sign-off.
- Acted as primary liaison between business stakeholders, the client and engineering teams, mapping operational goals to scalable data solutions.
- Delivered 10+ Power BI dashboards with automated data validation and quality-audit checks.
- Ran gap analysis on HR processes and proposed optimized workflows to cut redundant steps.
- Owned UAT end to end, resolved 90% of defects pre-launch through Jira, and ran client demos and post-launch hypercare.
Jan 2020 — Dec 202202
Tata Consultancy Services
Software & Data Developer — BFSI
- Kept automated customer-communication workflows running for core financial operations at 100% SLA compliance.
- Built a JSON-to-HTML data parser in Python and Java that cut processing time by 30%.
- Ran root-cause analysis on production data issues and shipped targeted fixes to improve database stability.
- Handled complex database change requests with global delivery teams in an Agile framework.
04Selected work / Analytical case studies
Raw data.
Engineered into insight.
Credit risk and healthcare payment analytics: documented workflows, evaluated models and decision-ready reporting.
Analytical case studiesModel → Evaluate → Report
CASE / 01Jul 2026
Credit risk / Applied ML
Loan Default Risk Analytics
- Problem
- Translate default risk into expected-loss decisions.
- Approach
- DuckDB preparation, risk modeling and PD × LGD × EAD stress scenarios.
- Result
- Power BI reporting and a self-serve Streamlit stress-testing app.
Documented workflow
- 01LendingClub data
- 02DuckDB pipeline
- 03Risk models
- 04Expected loss
- 05Power BI / Streamlit
- loan records
- ~2.26M
- ROC-AUC
- 0.713
- RMSE
- 0.205
PythonLightGBMXGBoostDuckDBPower BIStreamlit
CASE / 02Jul 2026
Healthcare / Payment analytics
Healthcare RCM Payment Intelligence
- Problem
- Surface hospital service lines with elevated underpayment risk.
- Approach
- XGBoost classification with a SQL Server star schema.
- Result
- Power BI views of payment realization by state and DRG.
Documented workflow
- 01CMS Medicare data
- 02Python preparation
- 03XGBoost classifier
- 04SQL Server star schema
- 05Power BI
- provider-DRG lines
- 145K+
- hospitals
- 2,906
- ROC-AUC
- 0.890
- F1 score
- 0.761
PythonSQL ServerXGBoostPower BI
05Credentials
Continuous learning, verified in practice.
Microsoft Certified
Fabric Analytics Engineer Associate
DP-600 · Earned September 2026
Demonstrates applied capability in implementing and managing analytics solutions using Microsoft Fabric.
Credential verification link can be added when supplied.Education
MSc Data Science
University of Verona, Italy
Thesis on user modeling for personalized query recommendation, comparing embedding-based, graph-based and LLM-based approaches.
B.Tech Computer Science Engineering
Bankura Unnayani Institute of Engineering
06Recognition
Selected recognition and learning.
07Contact
Let’s build data products people can rely on.
For data engineering, analytics engineering and BI opportunities across Europe.