Kristian Yordanov Email and Phone Number
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I am an applied mathematician skilled in data science, machine learning, statistics, econometrics, mathematical modeling, and quantitative research with applications to economics, finance, insurance, and management consulting. I have 6 years of professional work experience from Bulgaria and 4 years of academic research experience from the United States. I can code in R, Python, C++, SQL, MATLAB, and STATA. For more information, please send me a message.Top 12 Most Frequently Used Python Libraries - Pandas, Numpy, SciPy, Scikit-Learn, Matplotlib, Plotly, Seaborn, Statsmodels, TensorFlow, Keras, XGBoost, LightGBM Statistical Models (about 50 models) 1) Machine Learning Regression – Linear Regression, Generalized Linear Model, Lasso, Ridge, Elastic Net, Quantile Regression, Polynomial Regression, Kernel Regression, Stochastic Gradient Descent Regressor2) Machine Learning Classification – Logistic Regression, Support Vector Machine (SVM), k-Nearest Neighbors (KNN), One-Versus-One Classifier, One-Versus-Rest Classifier3) Unsupervised Machine Learning – Kernel Density Estimation (KDE), k-Means Clustering, DBSCAN, Gaussian Mixture Model (GMM) 4) Machine Learning Ensembles – Random Forest, XGBoost, Light GBM, Stacking Regressor, Voting Regressor, Isolation Forest5) Deep Learning (limited experience) – Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Long Short-Term Memory Network (LSTM), Generative Adversarial Network (GAN)6) Reinforcement Learning – Dynamic Programming Methods7) Causal Inference – Instrumental Variable, Differences-in-Differences Estimation, Regression Discontinuity, Propensity Score Matching, Synthetic Control Methods 8) Time Series – Vector Autoregression (VAR), SARIMAX, GARCH, Kalman Filter, Fourier Transform9) Dimensionality Reduction – Principal Component Analysis (PCA), Factor Analysis10) Point Estimation – Generalized Method of Moments (GMM), Maximum Likelihood Estimation (MLE)11) Resampling – Monte Carlo Simulation, Bootstrap, Jackknife
Private Company
View- Website:
- theraisedbed.co.uk
- Employees:
- 1156
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Data ScientistPrivate Company Jul 2024 - PresentSofia, Sofia City, Bulgariao Working on an AI/ML project for a SaaS solution for the revenue management of a UK company -
Data Science ManagerPwc Bulgaria Apr 2023 - Apr 2024Sofia, Sofia City, Bulgariao Consulting companies on data science, artificial intelligence, and machine learning cases in the Southern and Eastern European (SEE) region, Central Europe, the UK, North America, and the Middle Easto Working with data from diverse structured and unstructured data sources in both batch and streaming modeso Consulting clients and internal teams to prepare complex data analyses and models that help solve client problems and deliver significant measurable impacto Managing the entire analytical process – from outlining the type of solution through implementation, interpretation of results and transferring capabilities to the client or colleagueso Building and managing machine learning models on Python in various domains - regression, classification, unsupervised learning, ensembles, and deep learningo Discussing findings constructively in collaboration with consultants and clients while always looking for the best solutiono Developing internal accelerators for prototyping that may be used later to solve client problemso Working closely with the Data Science Director on business development opportunities and supporting demos for prospective clientso Mentoring, coaching, and reviewing the work of junior data scientists -
Data ScientistAmplify Analytix Jan 2022 - Jan 2023Sofia, Bulgariao Consulting 6 major Western European companies on data science and machine learning cases -
Mathematical Software DeveloperSolveva Aug 2021 - Jan 2022Sofia, Bulgariao Developing a mathematical software for the insurance industry in R, Python, and other languages -
Quantitative AnalystEpam Systems Dec 2019 - Aug 2021Sofia, Bulgariao Working for the fixed income desk of a British investment bank o Developing new pricing models and enhancing existing ones in C++ and Pythono Supporting maintenance and extension of current C++ pricing library o Implementing mathematical models for pricing and risk management of trading productso Building pricing, calibration, and risk analysis tools for trading desks o Contributing to system implementation of the modelso Ensuring that coding standards and procedures are implemented correctly -
Property And Casualty Reserving ActuaryAllianz Bulgaria Feb 2019 - Nov 2019Sofia, Bulgariao Performing statistical simulations, such as Monte Carlo and bootstrapping, in R and Pythono Automating regulatory reports for Solvency II and IFRS 17 in Ro Making interactive visualizations for management in R -
Junior Quantitative Risk AnalystFxcm Aug 2018 - Jan 2019Sofia, Bulgariao Preparing daily reports in R and Python to assess the market risk of the net open positions (NOP) of the firm's FX/CFD portfolio to ensure that the regulatory limits for NOP and for haircuts are not breached and that daily losses are below internal limitso Forecasting the effect of market fluctuations on the firm’s return volatility, exposure, value at risk, and trading volume using time-series econometric models, primarily from the GARCH familyo Conducting stress tests and scenario analysis to evaluate potential sources of market risk that may lead to direct losses for the firm's market-making business and to client delinquencies for the firm's straight-through-processing (STP) business o Monitoring daily counterparty risk exposure to the firm's clearing banks, liquidity providers, professional retail clients, and special institutional clients (e.g. white label brokers and omnibus accounts)o Calculating intercompany exposures and maintenance margins between various FXCM entitieso Confirming regulatory compliance with the Financial Conduct Authority (FCA) for client margin requirements and for the annual Internal Capital Adequacy Assessment Process (ICAAP)o Reviewing potential instances of insider dealing and market abuse through customized algorithms that flag suspicious trades -
Research Assistant In FinanceUniversity Of Southern California Aug 2015 - Jul 2018Los Angeles, Californiao Inventing scientific hypotheses using economic theory, and replicating key findings of published papers o Compiling and refining data, building and running econometric models o Conducting literature reviews of academic articles, composing referee reports, and editing manuscripts o Providing critical feedback during academic seminarso Acquiring theoretical and practical knowledge of a vast array of econometric and statistical models -
Research Fellow In FinanceUniversity Of North Carolina At Chapel Hill Aug 2014 - Jul 2015Chapel Hill, North Carolinao Reviewing journal articleso Generating scientific hypotheseso Collecting and cleaning datao Performing econometric testso Summarizing statistical results
Kristian Yordanov Skills
Kristian Yordanov Education Details
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3.57/4.00 -
3.83/4.00 (Highest Distinction, Top 8% Of Class) -
5.88/6.00 (Magna Cum Laude, Top 10% Of Class)
Frequently Asked Questions about Kristian Yordanov
What company does Kristian Yordanov work for?
Kristian Yordanov works for Private Company
What is Kristian Yordanov's role at the current company?
Kristian Yordanov's current role is Data Scientist.
What is Kristian Yordanov's email address?
Kristian Yordanov's email address is kr****@****tix.com
What is Kristian Yordanov's direct phone number?
Kristian Yordanov's direct phone number is +121370*****
What schools did Kristian Yordanov attend?
Kristian Yordanov attended University Of Southern California, University Of North Carolina At Chapel Hill, American College Of Sofia.
What skills is Kristian Yordanov known for?
Kristian Yordanov has skills like Mathematics, Writing, Acts, Financial Advisory, Shipbuilding, Appraising, Demolition, Consulting, Capital Structure, Summarizing, Market, Financial Performance.
Who are Kristian Yordanov's colleagues?
Kristian Yordanov's colleagues are Durga Prasad B, Elvys Gabriel Taveras Castillo, Gipson Sharma, Kabilan Mathiyugan, Benjamin Roberts, Kalai Arasi, Peter Tökke.
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Kristian Yordanov
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Kristian Yordanov
Qa Professional | Committed To High Standards In Software Testing, Problem-Solving & Continuous ImprovementSofia -
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Kristian Yordanov
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