Anish Maurya Email and Phone Number

As a Quantitative Developer, I specialize in developing and maintaining software infrastructure using Python to support quantitative trading strategies and risk management. My key responsibilities include:- Python Development: Implement and optimize quantitative trading algorithms using Python, ensuring efficient execution and integration with trading systems.- System Design & Architecture: Design and deploy scalable trading systems and backtesting frameworks, focused on Python-based solutions.- Collaboration with Quants & Traders: Work closely with quantitative analysts and traders to translate mathematical models into Python code, integrating these models into our trading infrastructure.- Data Management: Develop and maintain Python scripts for data ingestion, processing, and storage, ensuring data accuracy and accessibility.- Performance Optimization: Enhance system performance by optimizing Python code and implementing best practices for low-latency trading.- Risk Management: Implement Python-based risk management tools that enforce trading limits and automate compliance reporting.- Troubleshooting & Support: Provide real-time support, troubleshoot issues in Python code, and conduct analyses to ensure system reliability.

Key Skills :- Quantitative Analysis: Leveraged data science tools for quantitative analysis of financial data and market trends to create effective option strategies.:- Data Mining: Proficient in data mining techniques to extract valuable insights from diverse financial data sources.:- Options Trading: Developed and backtested option strategies using historical data to identify profitable trading opportunities.:- Machine Learning: Applied machine learning algorithms for predictive modeling of stock prices and volatility:- Risk Management: Utilized data-driven approaches for risk assessment and management in option trading.:- Time Series Analysis: Conducted time series analysis to forecast market movements and optimize trading strategies.Professional Experience:-Applied data science methodologies to develop and refine option trading strategies, resulting in a 2/3 percentage increase in profitability over one year.:- Led the data mining and data preparation efforts, gathering and cleaning financial datasets from various sources to support strategy development.:- Implemented machine learning models to predict stock price movements, contributing to more informed decision-making in options trading.:- Conducted comprehensive risk analysis, identifying and mitigating potential risks in trading strategies.

THIS INTERNSHIP IS A PART OF MY DATA SCIENCE CERTIFICATION THAT I AM CURRENTLY PURSUING FROM INEURON AND IS UNPAID.Project: - Flight Price PredictionGoal: - The goal is to build an end-to-end machine learning project using modular coding which predicts the Flight Price for a given customer based on various features.Tech Stack: -Python, Azure, GitHub, Machine Learning.Solution Proposed: - In this project, we will perform classical machine learning tasks like Data Exploration, Data Cleaning, Feature Engineering, Model Building, and Model Testing. Then we will try out different machine learning algorithms that best fit. The model that will be built would be used by Travels companies to provide instant quotes to their customers and help them make informed decisions.