Chandrapal
Senior Data Engineer
Wrocław, Poland · Europe/Warsaw (UTC+1) · 11 years of experience
Chandrapal focuses on dependable data products with tested transformations, lineage, and freshness controls.
Request a shortlistWhy this profile fits
Trustworthy data products
Defines contracts, tests, ownership, lineage, and freshness expectations for data used by teams and models.
Scalable processing
Chooses batch, streaming, and storage patterns around volume, latency, recovery, and operating cost.
Operable pipelines
Designs idempotent jobs, backfills, alerting, and incident procedures rather than treating a successful first run as done.
Relevant toolkit
Python
dbt
Spark
AirflowDelivery evidence
Selected work
Uplift-Based Retention Engine
Subscription streaming platformReplaced a blanket save-offer program with a two-model uplift framework that targeted only persuadable subscribers rather than everyone showing risk. Cut retention discount spend by 31% while lifting treated-cohort save rate by 4.2 points, validated through a 6-week randomized holdout before any rollout.
Churn Early-Warning Scoring Pipeline
Digital telecom operatorBuilt a daily survival-analysis pipeline scoring tens of millions of prepaid and postpaid subscribers for lapse risk. Predictions fed CRM journeys and outbound call lists, reducing 90-day voluntary churn by 18% in the highest-risk decile within two quarters.
Relevant experience
Career timeline
Senior Data Scientist, Retention & Lifecycle
Mar 2021–PresentDevlyn (remote client engagements) · Wrocław, Poland (Remote)
- Led churn and retention modeling for a rotating portfolio of subscription, fintech, and streaming clients, shipping uplift and survival models that lifted net revenue retention by 3 to 6 points per engagement.
System Administrator
Jul 2017–PresentViitorCloud Technologies · IND, On-site
- Owned the subscriber churn model for a catalog serving 3.4 million active subscribers, moving the team from a single classifier to an uplift model that treated only persuadable users.
Data Scientist
Aug 2016–May 2018Digital telecom operator · Warsaw, Poland
- Developed survival-analysis churn scoring for tens of millions of prepaid and postpaid subscribers, reducing 90-day voluntary churn 18% in the highest-risk decile.
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Skill depth
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Relevant experience by skill
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Languages
Libraries/APIs
Frameworks
Tools
Paradigms
Platforms
Storage
Other
Education
Formal background
Master of Science, Mathematics, Statistics specialization
University of Wrocław · 2013–2015 · Graduated with distinction
Bachelor of Science, Computer Science
Wrocław University of Science and Technology · 2010–2013
Credentials
Certifications
Databricks Certified Data Engineer Associate
Databricks · 2023 · Certified
dbt Analytics Engineering Certification
dbt Labs · 2022 · Certified
Communication
Languages
Polish
Native
English
Fluent
German
Conversational
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