Orhan is available for hire
Hire OrhanOrhan Balotu
Verified Expert in Engineering
Deep Learning Developer
Location
Istanbul, Turkey
Toptal Member Since
December 28, 2021
Orhan is a data scientist with a solid mathematical background. Over the last four years, he has worked in global enterprises and small startups. Meanwhile, he managed to practice his theoretical knowledge in various business problems. Orhan's primary focus areas are data-driven decision-making, statistical modeling, and optimization.
Portfolio
R2Net, Inc.
Python, SQL, NumPy, Pandas, Apache Airflow, APIs, GraphQL, Tableau...
General Electric
Amazon Web Services (AWS), Python 3, GitHub, SQL, Keras, Scikit-learn...
Baykar Defence
Python, C++, Scikit-learn, NumPy, Pandas, Keras, TensorFlow, PyTorch...
Experience
Availability
Part-time
Preferred Environment
Python, Jupyter, Amazon Web Services (AWS), Visual Studio Code (VS Code)
The most amazing...
...project I've developed is the calibration of air pollution sensors with the help of machine learning.
Work Experience
Data Analyst
2022 - PRESENT
R2Net, Inc.
- Utilized AWS cloud technologies and Python to design and maintain efficient data pipelines for a prominent company in the diamond industry.
- Sourced data from multiple APIs and databases, performed data cleaning and transformation, and scheduled jobs through Airflow to deliver accurate business intelligence to the team.
- Utilized my proficiency in AWS services such as S3, Redshift, Glue, and Lambda to create efficient, scalable, and fault-tolerant data processing pipelines.
Technologies: Python, SQL, NumPy, Pandas, Apache Airflow, APIs, GraphQL, Tableau, Microsoft Excel, ETL, Linux
Data Scientist
2021 - 2022
General Electric
- Developed machine learning models to help financial decision-making.
- Built end-to-end cloud solutions using AWS Services like SageMaker, Glue, and more.
- Created a health monitoring system that tracks model performance metrics and data integrity on AWS.
- Conducted meetings with stakeholders to be in line with their business requirements.
- Took part in technical development initiatives, researched up-to-date methods, and introduced them to colleagues.
Technologies: Amazon Web Services (AWS), Python 3, GitHub, SQL, Keras, Scikit-learn, Machine Learning, Data Science, Modeling, Models, Communication, Version Control Systems, Data Analytics, Data Analysis, Data Engineering, Predictive Modeling, Statistical Modeling, Real-time Data, Predictive Analytics, Statistics, APIs, MySQL
Artificial Intelligence Software Engineer
2019 - 2021
Baykar Defence
- Took part in developing projects in many different fields to improve the capabilities of unmanned aerial vehicles (UAVs).
- Developed an anomaly detection algorithm in sensors that uses classical time series models and cutting-edge machine learning algorithms.
- Built data-driven physical statistical modeling for complex physical systems. Implemented it to the embedded software.
- Developed smart algorithms to improve the environmental awareness of UAVs.
- Implemented risk evasion algorithms that can calculate the most appropriate path for UAVs.
Technologies: Python, C++, Scikit-learn, NumPy, Pandas, Keras, TensorFlow, PyTorch, Machine Learning, Data Science, Modeling, Models, Communication, Version Control Systems, Data Analysis, Data Engineering, Predictive Modeling, Statistical Modeling, Statistical Analysis, Real-time Data, Predictive Analytics, Statistics, APIs, MySQL
Data Scientist
2017 - 2018
Hawa Dawa
- Processed efficiently high-frequency sensor data on the cloud.
- Calibrated air pollution sensors with machine learning algorithms. Decreased the margin of error significantly.
- Coordinated with the embedded software team for the production phase.
- Created a prediction model from scratch to predict calibration drifts on air pollution detector products, using high-frequency sensor data (CO2, temperature, air particles).
Technologies: Python, Jupyter, Data Science, Scikit-learn, TensorFlow, Machine Learning, Models, Communication, Version Control Systems, Data Analytics, Data Analysis, Data Engineering, Predictive Modeling, Statistical Modeling, Real-time Data, Predictive Analytics, Statistics, APIs, MySQL
Business Analyst
2017 - 2017
Allianz
- Owned the gathering of insights from HR data of more than 70 countries.
- Created efficient KPI reports with Excel VBA that were previously being created manually.
- Reported statistical findings of various estimation methods using R.
Technologies: R, Python, SQL, Excel VBA, Excel 365, Communication, Version Control Systems, Data Analytics, Data Analysis, Predictive Modeling, Statistical Modeling, Statistical Analysis, Statistics
R&D Engineer
2016 - 2016
Car2Go
- Processed and stored real-time data from the API efficiently.
- Created an integer optimization model to minimize the cost of electric vehicles' charging cycle and distribution around the city. Implemented the optimization model in Gurobi, which ran on parallel servers.
- Built an end-to-end system that runs and produces real-time outputs.
Technologies: Linux, Python, Mixed-integer Linear Programming, Data Analysis, Statistics
Online Mathematics Tutor
2015 - 2016
Video Tutor GmbH
- Prepared educational content according to the curriculum for high schools with international certificates.
- Conducted online applied sessions with students in need.
- Built tutorial videos with animations using Microsoft PowerPoint.
Technologies: Microsoft PowerPoint, Mathematics
Teaching Assistant
2015 - 2015
Ozyegin University
- Acted as an assistant professor in statistics and probability courses.
- Created and evaluated exam and homework questions.
- Guided undergraduate students in their end-of-term projects.
- Conducted applied sessions of courses. Introduced numerical statistical methods using MATLAB and R.
Technologies: MATLAB, R
Analyst Intern
2011 - 2011
Turkish Statistical Institute
- Helped the statistics team make sense of the census data.
- Pre-processed data using R and applied statistical approaches with Tableau.
- Created analysis and reporting of the statistical findings.
Technologies: SPSS, Tableau
Experience
Portfolio Optimization Using Neural Networks
This project aims to build a prediction-based portfolio optimization model to capture investment opportunities and I used neural network predictors to predict stocks' returns and derived a risk measure.
Risk Control in Construction Projects with Bayesian Networks
This project deals with an approach to provide better information to derive relevant and effective risk measures for specific risks in construction projects and I built a robust system by adding expert knowledge to the Bayesian network.
Skillset
Languages
Python, Python 3, SQL, Excel VBA, R, C++, GraphQL
Libraries/APIs
Scikit-learn, NumPy, Pandas, Keras, TensorFlow, PyTorch
Tools
Jupyter, GitHub, Microsoft PowerPoint, MATLAB, SPSS, Tableau, Apache Airflow, Microsoft Excel
Paradigms
Data Science, ETL
Platforms
Amazon Web Services (AWS), Docker, Visual Studio Code (VS Code), Linux
Other
Data Visualization, Artificial Intelligence (AI), Deep Learning, Machine Learning, Modeling, Models, Communication, Version Control Systems, Google Colaboratory (Colab), Data Analytics, Data Analysis, Predictive Modeling, Statistical Modeling, Statistical Analysis, Real-time Data, Predictive Analytics, Statistics, Data Engineering, Risk Analysis, APIs, Mathematics, Excel 365, Mixed-integer Linear Programming, Trading, Options Trading, Forex Trading
Storage
MongoDB, MySQL
Education
2015 - 2018
Master's Degree in Mathematics in Operations Research
Technical University of Munich - Munich, Germany
2009 - 2014
Bachelor's Degree in Mathematics
Istanbul University - Istanbul, Turkey
Certifications
JANUARY 2017 - PRESENT
Eurex Exchange Trader Certificate
Eurex Exchange
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