Martin Mashalov (MartinMashalov)

MartinMashalov

Geek Repo

Company:Peak Real Estate LLC

Location:New York, NY

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Martin Mashalov's repositories

VoiceCloning

Generative voice cloning model using TTS synthesis with state-of-the-art Zero-Shot Multi-Speaker functionality. An web api built with the YourTTS TTS model to clone and generate realistic audio waves

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BisonHFT

Bison Options Futures HFT. Predicts directional pricing movement in SPY and provides indicator data to assist algorithmic trading engine.

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BisonForecastBacktester

Backtesting software for intraday and daily timeframe SARIMAX forecasting model. Capable of forecasting on any asset class with backtesting capability across various parameter sets customizable by the user.

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ArbitrageBetting

Using vectorized operations and optimization theory to identify arbitrage in basketball betting at faster speeds to beat the bookmakers.

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BisonQ

Streamlined python package API providing developers the ability to create custom algorithmic and quantitative trading strategies to drive actionable returns.

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Covid19Bot

Whatsapp chatbot that allows users to interact with Covid-19 data, find nearest testing centers, and discover credible organization for more information.

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CV19DataMining

WebAPI and Data Collection for COVID-19 testing location across all 50 U.S States. Data Mining accomplished with Python scripts from various websites and official sources.

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ImpliedVolatilityAnalysis

Predicting asset prices' directional movements based on implied volatility of price action. This experiment was performed on SPX index fund with VIX as implied volatility reference.

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OthelloAI

Reinforcement learning agent for Othello board game implemented in AI. All code is written from scratch to investigate inner workings of RL algorithms. Project was done in completion of Columbia University SHAPE2020 Advanced Computer Science Course.

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ResearchAnalysisMusicLang

Emotional Intelligence and Music data analysis project. Consisted of searching for Pearson R correlations, Chi squared testing, and extended data visualization.

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SportsAnalytics

Research on using markov decision processes in combination with decision tree classifiers to predict outcomes of NFL Football and ATP/WTA Professional Tennis matches and generate descriptive and actionable analytics in the process.

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Svelte-Feedback-Application

Created simple Svelte application to record user feedback and simulate writing comments and the liking feature. First experiment with frontend frameworks and web development.

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SvelteExperiment

Learned basics of Svelte components, frontend framework usage, as well as review on Javascript concepts used in future Svelte applications.

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TechnicalAnalysisTrends

Technical Analysis (TA) investigation with Python. Moving averages included as well as outlier detection using signal processing and smoothing. Included as well is market characteristic detection with hurst exponent analysis.

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TradeScreener

Screen for stocks in the SPY500 that yield potentially actionable price pattern setups for options trading.

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ANNSource

Derived neural network code from scratch to investigate inner nature of these deep learning models. Created a Vanilla ANN from scratch and used mathematical modeling concepts to create CNN model to classify handwritten digits.

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BikeshareUdacity

Bikeshare project with Udacity data science course. First project with pandas and numpy in Python data science.

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ComputerVisionTests

All experiments I have done with computer vision technology, including OpenCV, YOLO, CNNs, Attention, Segmentation, Object Detection, and more. For educational purposes only.

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Covid19DashboardNYC

A Covid19 Data Dashboard built with Javascript, HTML, CSS with the React framework. Displays Covid19 statistics regarding the pandemic to increase public awareness about the statistics.

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InsuranceAnalysisR

R notesbooks used for analysis of actuarial data and to make decisions about portfolios of policyholders.

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NAS

Neural Architecture Search experimentation on various image recognition datasets (MNIST, FashionMNIST, FOOD101). The concepts of NAS are implemented in PyTorch and Microsoft NNI including hyperparameter tuning, architecture search and compression, and extensive feature engineering.

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StatsPlay

Sports API collecting all data on matches, players, teams, and live odds based on the NFL, NBA, MLB, and NHL leagues.

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VIXFuturePrediction

Predicting future VIX movements using forked repository from @maylathant. Investigation on VIX price action and predictive modeling in order to aid in risk management on SPX index fund.

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