- Data Scientist
- New York, NY, USA
- Member since February 14, 2018
Bio
Nimrod is a data scientist who turns complex data into actionable insights. With strong foundations in statistics and machine learning, he solves business problems through data-driven approaches. His ability to communicate technical findings to non-technical stakeholders makes him an invaluable asset to any organization.
Portfolio
Python, Scikit-learn, Logistic Regression, Feature Engineering, Business Impact Analysis
Python, Clustering, K-means, PCA, Data Visualization, Tableau
Time Series Analysis, ARIMA, Prophet, Python, Pandas, Predictive Analytics
Experience
Availability
Full-time
Preferred Environment
Data-driven Companies
The most amazing…
…model I built saved the company $10M annually by predicting equipment failures.
Senior Data Scientist Goldman Sachs
2021 – 2022- Developed predictive models for risk assessment processing $100B+ in transactions.
- Led data science initiatives reducing fraud losses by 35% through ML-powered detection.
- Built automated reporting dashboards used by C-level executives for strategic decisions.
- Mentored team of 4 junior data scientists in statistical methods and ML best practices.
Technologies: Python, Scikit-learn, XGBoost, SQL, Spark, Tableau, AWS, Statistical Modeling, A/B Testing
Data Scientist Uber Technologies
2018 – 2021- Built demand forecasting models improving driver allocation efficiency by 20%.
- Conducted A/B experiments analyzing user behavior and feature impact.
- Developed customer lifetime value models influencing marketing spend decisions.
- Created ETL pipelines processing 100M+ ride records daily.
Technologies: Python, Pandas, NumPy, SQL, Hive, Presto, Matplotlib, Seaborn, Jupyter, Statistical Analysis
Junior Data Analyst Marketing Analytics Firm
2016 – 2018- Analyzed marketing campaign performance and provided optimization recommendations.
- Built SQL queries and Python scripts for automated reporting.
- Created visualizations and dashboards using Tableau and Power BI.
Technologies: SQL, Python, Pandas, Excel, Tableau, Power BI, Google Analytics
2012 – 2016
Master of Science in Statistics
Columbia University – New York, USA
Programming
Python, R, SQL, Scala, MATLAB
Machine Learning
Scikit-learn, XGBoost, LightGBM, Random Forest, Logistic Regression, SVM, Neural Networks
Data Analysis
Pandas, NumPy, SciPy, Statsmodels, Feature Engineering, Data Cleaning
Statistics
Hypothesis Testing, Regression Analysis, Time Series, Bayesian Statistics, A/B Testing, Experimental Design
Visualization
Matplotlib, Seaborn, Plotly, Tableau, Power BI, D3.js
Big Data
Spark, Hadoop, Hive, Presto, AWS Redshift, Snowflake, BigQuery
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