Data Scientist Resume Example

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Resume Examples/Engineering/Data Scientist

Nirmal Kirola

Nainital, Uttarakhand, India | LinkedIn | GitHub

Summary

Backend Engineer & Data Scientist with 3+ years' experience architecting scalable backend systems, ML-powered personalization engines, and high-throughput data pipelines.

Skills

TypeScript, JavaScript, Node.js, Python, SQL, C#, .NET, Express.js, FastAPI, Flask, Django, REST APIs, WebSockets, Pub/Sub, TypeORM, PostgreSQL, MySQL, Redis, Google Cloud Pub/Sub, Google Cloud Storage, Firebase Admin, AWS, PM2, Docker, OpenAI, Google Vertex AI, Anthropic, RunwayML, FAL.ai, NLP, TensorFlow, PyTorch, Stripe, Billedesk, Paytm, ICICI API Banking, Event-Driven Architecture, Microservices, System Design, Scalability, Data Modeling

Experience

Morphic Films | Remote (Gurugram, India)
Backend Engineer | Sep 2024 - Present
  • Architected a subscriptions & credits platform powering access control for 200+ monthly active users, improving monetization efficiency by 15%.

  • Engineered canvas-based asset generation services handling 2k+ daily assets with automated credit tracking and organizational workflows.

  • Orchestrated Pub/Sub messaging infrastructure enabling ML pipeline triggers and automated callback handling.

  • Designed event-driven workflows ensuring 99.9% data consistency between ML outputs and downstream services.

  • Optimized asset processing throughput, reducing average pipeline latency from 3.2s to 1.4s.

Planify Capital Limited | Hybrid (Gurugram, India)
Software Engineer | Jun 2023 - Sep 2024
  • Developed a notification service and 19+ KYC workflows, cutting onboarding time by 40%.

  • Built portfolio, tradebook, and sharebook modules used by 5k+ investors for real-time stock management.

  • Created dashboards for lead tracking, refunds, and feedback analysis, enabling 30% faster decision-making.

  • Integrated payments via Billedesk, Paytm, and ICICI API Banking, reducing transaction failures by 18%.

  • Engineered partner incentive, wallet, and cashback systems driving a 12% increase in repeat customers.

Lenskart.com | Hybrid (Gurugram, India)
Data Scientist I / Machine Learning Engineer | Jan 2022 - Jun 2023
  • Designed personalized recommendation systems using embeddings and similarity search, boosting click-through rates by 22%.

  • Built face width/frame size prediction models achieving 95%+ accuracy for eyewear fitting.

  • Implemented Search by Look + Multisearch using object detection and NLP, reducing search times by 35%.

  • Automated color swatch generation for eyewear using clustering/classifiers, saving 50+ man-hours/month.

Cogitate Technology Solutions | Remote (Mumbai, India)
Associate Developer (.NET) - Internship | Jan 2021 - Jul 2021
  • Implemented new features in insurance digitization platforms, accelerating policy processing by 25%.

  • Worked on full-stack projects across Dotnet MVC, frontend modules, and chatbot integrations.

Sonatic AI | Remote (Haryana, India)
Associate R&D Engineer (Deep Learning) - Internship | Jul 2020 - Jan 2021
  • Developed LSTM models for skill-based search ranking, improving match accuracy by 18%.

  • Built NLP models for email intent recognition and personality assessment, increasing automation coverage by 40%.

Education

Birla Institute of Applied SciencesB.Tech
Jan 2017 - Jan 2021
Engineering

Data Scientist

5yr exp
Blue

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About this Data Scientist resume example

This is a real, recruiter-ready data scientist resume example you can use as a starting point. It is built the way a strong data scientist resume should be: a results-led summary, work experience framed around measurable outcomes rather than duties, and a skills section that names the tools and keywords a hiring team for this role screens for. Every section is laid out cleanly so an applicant tracking system can parse it, which is what gets a resume in front of a human in the first place.

Treat it as a structure to follow, not a script to copy. Keep the ordering and the way each bullet leads with an achievement, then replace the details with your own numbers and experience. When your draft is ready, run it through the free ATS check to confirm the formatting and keywords land before you apply.

How to use this example

  1. 1

    Open it in the editor. Use this data scientist example as your starting layout instead of a blank page - the structure is already right for the role.

  2. 2

    Swap in your own results. Replace each bullet with your achievements and quantify them - numbers are what make a data scientist resume stand out.

  3. 3

    Check it against an ATS. Run your version through the free ATS check so you know the formatting parses and the right keywords are present.

Want more inspiration or ready to build your own data scientist resume?

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