Aleksandar Pantovic
Verified Expert in Engineering
Data Scientist and Developer
Aleksandar is a highly-experienced data scientist who has successfully built and implemented machine learning algorithms and predictive models in various industries. He is passionate about machine learning, AI, and its applications in real-world industry problems. Aleksandar is an expert in R, Python, SQL, SAS, Power BI, Git, and Docker.
Portfolio
Experience
Availability
Preferred Environment
Windows, Linux, MacOS, Python 3, SQL
The most amazing...
...thing I've built is a fully-automated, end-to-end demand forecasting pipeline.
Work Experience
Senior Data Scientist
Independent Contractor
- Developed a fully-automated demand forecasting pipeline based on statistical forecasts and machine learning models. Its workflow allows users to tweak parameters, interactively run and compare models, and analyze error metrics.
- Created a data processing pipeline in Spark to work with several millions of data points of hourly data.
- Optimized multiple R scripts that do weekly processing, thus cutting the processing time by half.
- Created the distribution planning logic to optimize warehouse inventory levels and re-route existing inventory if possible.
Data Scientist
Treat Technologies, Inc
- Developed a classification model for each client to determine whether the client belongs to a high, low, or mid-value bucket.
- Managed customer lifetime value estimation and estimated expenditures for the next 12 months.
- Implemented all models and documented code and process.
Senior Risk Modeling Associate
Banca Intesa Serbia
- Developed predictive models for the probability of default (PD) and exposure at default (EAD) estimation for retail and corporate clients utilizing logistic regression, decision trees, and ensemble models. Implemented them into IT infrastructure.
- Calculated IFRS 9 migration matrices, estimated TTC PDs, and automated the whole process flow, migrating it from complex Excel sheets to R.
- Monitored models' performance monthly, reported to internal and external stakeholders, and optimized processes by automating rating calculations and data quality controls. Migrated the entire process from Excel workbooks to Power BI.
- Participated in recruitment and training of new interns and supervised projects assigned to them.
Risk Data Scientist
Addiko Bank AG
- Built predictive models for loan approvals and capital allocation, implemented these models, and performed monthly performance monitoring. Monitored the performance of retail credit portfolios of all AG SEE banks.
- Created a completely automated model performance report for all member banks of AG SEE banks.
- Developed a predictive model for the HR department to help them in their selection process.
Reporting Anlayst
Nielsen
- Learned to manipulate large datasets and derive insights from data that gave the sales team a better negotiating position and the ability to seal better deals for the company.
- Automated most reporting processes, cutting report generation time by 40 to 50%.
- Transitioned old reports into new templates that were easier to maintain and looked more professional.
Experience
Automated Scorecard Builder
Real Estate Appraisal App
required data, the model estimates the price for an apartment and also makes comparisons with average values for that municipality. Also, a geolocation service is included in the app. The data was scraped from local real estate listing websites.
Time Series Forecasting in Spark
https://github.com/apantovic/spark_tsPipeline can be also adjusted to accommodate different types of regression/classification problems.
Skills
Languages
R, SQL, Python 3, SAS, Python, Excel VBA
Libraries/APIs
Scikit-learn, Pandas, TensorFlow, Keras, XGBoost, Matplotlib, LSTM, PySpark, Dask, REST APIs, PyTorch, Three.js
Tools
Microsoft Power BI, Seaborn, BigQuery, Apache Airflow, Azure Machine Learning, Excel 2013, Looker, Amazon SageMaker, Tableau
Paradigms
Data Science, ETL
Platforms
Jupyter Notebook, Databricks, Azure, Docker, Amazon Web Services (AWS), Google Cloud Platform (GCP)
Storage
JSON, MySQL, Data Pipelines
Other
Time Series, Time Series Analysis, Forecasting, Machine Learning, Predictive Modeling, Predictive Analytics, Data Analysis, Data Visualization, Data Analytics, Data Reporting, Data Mining, Big Data, Statistics, Quantitative Finance, Finance, Random Forest Regression, Linear Regression, Random Forests, Supply Chain, Supply Chain Management (SCM), Supply Chain Optimization, Exploratory Data Analysis, Financial Data, eCommerce, Statistical Analysis, Statistical Modeling, Quantitative Analysis, Reports, Artificial Intelligence (AI), Neural Networks, Natural Language Processing (NLP), Web Scraping, Data Engineering, Google BigQuery, Financial Modeling, Machine Learning Operations (MLOps), Risk Analysis, GPT, Generative Pre-trained Transformers (GPT), Recommendation Systems, Applied Mathematics, User Behavior, Gradient Boosting, Data Build Tool (dbt), Vehicle Routing, Geographic Information Systems
Frameworks
Apache Spark, Spark
Industry Expertise
Project Management
Education
Master's Degree in Statistics
University of Belgrade - Belgrade, Serbia
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