Nihal Sangeeth
Data Scientist
Amsterdam, The Netherlands
Summary
Experienced Data Scientist with a strong foundation in experimentation, machine learning and causal inference. Experience in leading Data Science teams to solve real world problems through data-driven decision making.
Overview
7
7
years of professional experience
Work History
Data Scientist
Booking.com
Amsterdam, The Netherlands
01.2022 - Current
- Developed and implemented a novel bayesian Local-False Discovery estimation based method for contextual impact aggregation of A/B experiments as part of the experimentation team. This method controls for selection bias arising from false positives and type-m error, in companywide reporting.
- Implemented S-learner based approach for measuring PPC bidding optimization and ROI. Part of this project lead to +1.3% increase in PPC traffic and +0.5% increase in PPC commission through improved attribution modelling.
- Developed recommendations on subgroup/ segment experiment analysis specifically for robust multiple testing correction through Benjamini-Hochberg method. These recommendations became part of general experimentation guidelines within the company.
Data Scientist
Accenture PLC
08.2019 - 05.2021
- Novel parallelized algorithm for workforce optimization inspired from Flexible Job-Shop Scheduling algorithms using HyperOpt , Ray-Python and Python-MIP .
- Brand loyalty product for Fortune 500 clients implementing NLP text classification and keyword extraction on openly available data using ensembled models like BERT and ULMFiT for fine-tuning.
Data Scientist
Boutiqaat
03.2018 - 08.2019
- Recommender model using user behavior sequence and context features based on Transformer architecture. Resulted in CTR gain of ~12% over the baseline.
- Pytorch Implementation of Behavior Sequence Transformer architecture with multihead Self-Attention & Positional Encoding for the above project.
Education
Master of Science - Mathematics
Indian Institute of Science Education & Research
Trivandrum 04.2001 -
Skills
Data Science: Experimentation, Incrementality, Causal Inference, Bayesian methods, Meta-analysis
Programming: Python, R, SQL, Airflow, GCP, Snowflake
Machine Learning: Pytorch, Fastai, Transformers, NLP, BERT, Transfer Learning, Convolution, SHAP
Frameworks: Airflow, Pyspark, Plotly, Streamlit
Accomplishments
- Star Award Winner, Accenture Employee Recognition Program
- AWS Hackathon 2020, First RunnerUp.
Timeline
Data Scientist
Booking.com
01.2022 - Current
Data Scientist
Accenture PLC
08.2019 - 05.2021
Data Scientist
Boutiqaat
03.2018 - 08.2019
Master of Science - Mathematics
Indian Institute of Science Education & Research
04.2001 -
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