Contoh CV Data Scientist
CV data scientist yang menang nunjukin lu bisa bawa model dari notebook ke production, dengan dampak bisnis. Contoh di bawah ditailor ke role ML production — setiap bullet punya model + metric bisnis (CTR, fraud precision, revenue impact). Hiring manager DS nyari orang yang gak berhenti di "modelnya akurasi 0.92" tapi bisa jawab "berapa duit yang lu hemat/generate".
Yang wajib ada di CV data scientist
Stack (Python, PyTorch, scikit-learn, SQL) di atas. Setiap model yang lu buat harus ada: masalah bisnis, pendekatan, metric. Bedain "research" (notebook, eksperimen) dari "production" (deployed, serving real users) — production lebih berat di mata hiring manager. Sebutin MLOps tooling (Airflow, MLflow) kalau lu pernah productionize. Master's degree membantu di DS tapi gak wajib kalau pengalaman production kuat.
Kesalahan umum CV data scientist
Numpuk semua algoritma (random forest, XGBoost, CNN, RNN, transformer, GAN...) sebagai skill — itu kosong tanpa konteks masalah. Lebih baik 3 model yang lu beneran productionize dengan impact daripada daftar 15 algoritma. Jangan claim "deep learning" kalau lu cuma pernah finetune pretrained; bakal di-test. Hilangkan Kaggle competition tanpa medal/relevansi. Dan selalu hubungkan model ke bisnis — DS yang gak bisa bahasa bisnis dianggap overqualified-researcher, bukan hire-able.
Lestari Ramadhani
Bandung, Indonesia | [email protected]
github.com/lestariramadhani
Summary
Results-driven Data Scientist with over 3 years of experience building and productionizing machine learning models that deliver measurable business impact. Proven track record in owning end-to-end ML pipelines, delivering Rp 12B/year in savings through forecasting models and boosting CTR by 9% for 8M users. Expert in Python, PyTorch, SQL, and production-grade MLOps using Airflow and MLflow.
Technical Skills
| Programming Languages | Python, SQL |
|---|---|
| Machine Learning & AI | PyTorch, scikit-learn, XGBoost, TensorFlow |
| Backend & Frameworks | MLflow, Airflow, Docker |
| Cloud & Infrastructure | Google Cloud Platform (GCP), BigQuery |
Professional Experience
Traveloka Indonesia
Data Scientist 2022-07 – Present
- Built a hotel-demand forecasting model using XGBoost that cut overstock by 15%, saving Rp 12B/year.
- Shipped a recommendation model serving 8M users, resulting in a +9% CTR improvement.
- Productionized ML pipelines using Airflow and MLflow on GCP, ensuring robust end-to-end deployment.
Bukalapak Indonesia
Machine Learning Engineer 2020-08 – 2022-06
- Developed a fraud-detection model with 0.92 precision, flagging Rp 3B in bad transactions.
- Built NLP pipelines for product categorization across 70M listings.
Education
Universitas Indonesia Indonesia
M.Sc. Data Science 2020
- GPA: 3.85 / 4.0
Institut Teknologi Bandung Indonesia
B.Sc. Mathematics 2018
- GPA: 3.8 / 4.0
Certifications & Languages
- TensorFlow Developer Certificate • Issued by Google • 2023
- Languages: Indonesian (native), English (professional)
FAQ — Contoh CV Data Scientist
Data scientist perlu PhD?
Untuk research-heavy role (mis. fundamental ML research di big tech), PhD membantu/syarat. Tapi untuk applied DS / ML engineering di kebanyakan company Indonesia, master's + pengalaman production udah cukup. Portfolio + production impact lebih berat dari derajat kalau lu applied track.
Portfolio project DS yang bagus itu gimana?
End-to-end: data → modeling → productionization → metric bisnis. Repo dengan README yang cerita masalah + solusi + impact. Yang paling lemah: notebook Jupyter tanpa narasi atau model yang gak pernah "live". Tambahin deployment (Streamlit/FastAPI) biar hiring manager bisa liat model lu jalan.
Bikin versi punya lu sendiri
Contoh di atas punya orang lain. Paste lowongan yang lu tuju, AI bikinin CV + surat lamaran yang ditailor ke lowongan itu (dari profile lu), di-review, direvisi jadi final. Eval gratis.