Sejal Vaidya-Data & ML Engineering
Check rate
Experience
Data & ML Engineering
Consulting
- Fractional leadership; consulting growth-stage startups and scale-ups on data strategy, ML products, and platform foundations
- Building decisioning systems for growth, personalization, & product experimentation, across e-Commerce, Digital Health, Energy, and Logistics
- Exploring Agentic AI & LLM-based tooling for production readiness patterns
Staff Machine Learning Engineer
Zalando
- Built data products and ML pipelines for price optimization, driving 10% increase in product purchases by effectively measuring pricing impact on user behaviour
- Scaled A/B testing infrastructure for dynamic pricing experiments, ensuring reliable event tracking and ML model observability to measure demand elasticity
- Collaborated with Product & Data Science to define success metrics for pricing models
Lead - Data & ML Platform
Temedica
- Led the design of a Healthcare data platform for patient journey research, facilitating discovery of high-impact features from public health & behavioural data
- Managed the data product lifecycle of analytics platforms, delivering major Pharma clients with insights on drug efficacy and market adoption
- Built NLP services for Sentiment Analysis & Topic Modeling from clinical trials, and guided a team to develop monitoring frameworks for drift detection
- Defined data roadmap aligned with Product, Data Science, & Engineering, and introduced platform standards with IaC and CI/CD for ML
Speaker & workshop facilitator
- containerized ML deployment with AWS Lambda, podcast interviews on trends in production ML practices and data engineering
Co-Instructor
DataTalks.Club
- MLOps Zoomcamp and Data Engineering Zoomcamp: 20k+ enrollments; topics include model deployment, monitoring, and ML lifecycle
Senior Data Engineer
Freeletics
- Redesigned real-time personalisation system of 39+MM fitness users, with low-latency, high throughput, feature infrastructure in AWS
- Enhanced ML models for fitness plan recommendations, achieving a 30% increase in user engagement by refining feature selection
- Collaborated with Product and Marketing to define key retention metrics, and enabled self-service dashboards to analyze trends in user behaviour
- Mentored juniors and led workshops on data engineering best practices
Senior Software Engineer
LexisNexis Risk Solutions
- Developed data products for Fraud & Risk Analytics in Life & Health Insurance space
- Designed systems for information retrieval, pseudonymized identity linkage with NER, anomaly detection for claims; & aligned on data product requirements with US teams
Business Intelligence Engineer
JP Morgan Chase Services
- BI reporting mechanisms & data models for Credit Risk, Finance & Marketing Analytics
Data Analyst
HERE Technologies
- Data management, Quality Analysis & Test automation for GPS Maps
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Healthcare, Retail, Education, Energy, and Transportation.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Product Development, Research and Development, Business Intelligence, Quality Assurance, and Strategy.
Summary
With 15+ years of experience across e-Commerce, Digital Health, and FinTech, building Data & ML systems to drive pricing experimentation, healthcare research, and product adoption at scale. Proven track record in delivering robust production ML infrastructure & user-centric data products, cross-team enablement, and shaping data strategy to empower product innovation & business growth.
Skills
Platform & Infrastructure
Aws
Gcp
Airflow
Kafka
Terraform
Docker
Kubernetes
Grafana
Prometheus
Datadog
Data & Ml Engineering
Python
Sagemaker
Mlflow
Fastapi
Databricks
Spark
Dvc
Feast
Scikit-Learn
Dask
Analytics
Sql
Dbt
Snowflake
Bigquery
Redshift
Metabase
Tableau
Mixpanel
Posthog
Growthbook
Strategy & Management
Product Roadmapping
Experimentation Design
Stakeholder Management
Agile Delivery
Languages
Education
University of Mumbai
Bachelor of Science (B.Sc.) · Information Technology · India
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Sejal is based in Berlin, Germany.
Sejal speaks the following languages: German (Advanced), English (Advanced).
Sejal has at least 15 years of experience. During this time, Sejal has worked in at least 9 different roles and for 8 different companies. The average length of individual experience is 2 years and 8 months. Note that Sejal may not have shared all experience and actually has more experience.
Based on recent experience, Sejal would be well-suited for roles such as: Data & ML Engineering, Staff Machine Learning Engineer, Lead - Data & ML Platform.
Sejal's most recent position is Data & ML Engineering at Consulting.
In recent years, Sejal has worked for Consulting, Zalando, Temedica, and DataTalks.Club.
Sejal is most experienced in industries like Information Technology, Healthcare, and Retail. Sejal also has some experience in Education, Energy, and Transportation.
Sejal is most experienced in business areas like Information Technology, Product Development, and Business Intelligence. Sejal also has some experience in Research and Development, Quality Assurance, and Strategy.
Sejal has recently worked in industries like Healthcare, Information Technology, and Retail.
Sejal has recently worked in business areas like Information Technology, Product Development, and Research and Development.
Sejal holds a Bachelor in Information Technology from University of Mumbai.
Sejal will be available full-time from September 2026.
Daily rate distribution
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Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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