Ansto Tafara Chibamu
Data Scientist
Data Analytics expert with 7+ years of experience delivering end-to-end data solutions across multiple domains. Successfully transitioned from quantitative trading to broader data science applications, bringing unique financial expertise to diverse projects. Specialized in machine learning, deep learning, NLP, and document extraction systems with a proven track record of implementing solutions that drive business value. Available for freelance projects, consulting, and collaboration opportunities.
About Me
I provide end-to-end data solutions for businesses across multiple industries. My journey began in quantitative finance, where I developed algorithmic trading strategies, but I've since expanded my expertise to tackle diverse data challenges beyond the financial sector.
My services include machine learning model development, NLP solutions, document extraction systems, fraud detection, time series forecasting, and data pipeline creation. I specialize in transforming complex business problems into practical, data-driven solutions that deliver measurable value.
What sets me apart is my unique combination of deep technical skills and business acumen. I don't just build models; I ensure they solve real business problems. My financial background gives me a strong foundation in risk assessment, pattern recognition, and statistical analysis that translates well to various domains.
I'm passionate about collaboration and knowledge sharing, working closely with clients to understand their needs and deliver tailored solutions. Whether you need a complete data science solution or specialized expertise for a specific project phase, I'm available for freelance engagements, consulting, and collaborative opportunities.
Skills
🧠 Core Data Science & ML Skills
📈 Quant & Trading Systems
🛠️ Tools & Programming
🧾 Document & Data Extraction
📊 Data Engineering & Analytics
🧠 Soft Skills & Business Relevance
Projects
Selected Projects
Deep Learning Models for Short-Term Price Prediction
Built and evaluated LSTM and CNN architectures to predict 1 to 5-minute price movements in equities and BTC/ETH. Trained on multi-source time-series datasets with engineered indicators and attention to overfitting via dropout and early stopping.
Quant Strategy Backtesting Framework
Developed a modular framework to backtest and analyze systematic trading strategies across equities and crypto. Features include walk-forward validation, risk-adjusted performance metrics, and integration with TradingView for signal generation. Supports rapid experimentation and model iteration.
AI-Driven Market Microstructure Insights Tool
Created a Python-based tool to analyze Level 2 order book and high-frequency tick data in Crypto. Used LSTMs and signal processing techniques to identify short-term price inefficiencies and liquidity patterns. Designed for use in model calibration and alpha signal research.
GitHub Repositories
Professional Experience
Independent Quantitative Analyst
QuantConnect
JANUARY 2017 - PRESENT- Designing and implementing algorithmic trading strategies across multiple platforms: QuantConnect (LEAN CLI), Backtrader, TradingView (Pine Script), MetaTrader 5 (Python), and cTrader (cAlgo API, C#).
- Researching and backtesting strategies in equities, crypto, and FX, including mean-reversion, momentum, breakout, volatility-based, and machine learning systems.
- Integrating broker APIs and developed tools for signal execution, performance tracking, and forward testing.
- Using Python, C#, and SQL for strategy development, data processing, and analysis of backtest results.
- Analyzing high-frequency trading data to identify exploitable patterns and market inefficiencies.
Project Lead & Quantitative Analyst
Global Vertices, Dubai | Remote
March 202 - PRESENT- Leading product development team overseeing validation and implementation of quantitative solutions for financial markets
- Developing and implementing data-driven solutions for financial market analysis, optimizing operational processes and enhancing business performance.
- Leading end-to-end data analytics projects from requirements gathering to implementation, focusing on risk management and market analysis.
- Collaborating on cross-functional data science projects, resulting in 40% improved operational efficiency.
- Completed advanced Data Science Bootcamp training with Data Science Dojo, enhancing expertise in cutting-edge analytical methodologies.
Tutor: Oxford Algorithmic Trading Programme
GetSmarter | Remote
September 2021-August 2023- Engagement Tutor and Assessor for Oxford's prestigious Algorithmic Trading certificate programme
- Provided expert guidance on algorithmic trading principles, emphasizing integration of AI and machine learning
- Assessed participants' comprehension of complex quantitative concepts and trading strategies
- Mentored professionals in algorithmic trading, sharing real-world insights and best practices
Quantitative Researcher
Hedgina | USA (Remote) | Contract
September 2020-September 2021- Conceptualized and developed innovative valuation strategies for trading across diverse asset classes
- Backtested and implemented trading models in live environments
- Conducted statistical analysis to enhance monetization systems for trading signals
- Managed local and offshore team members on algorithmic trading projects
- Led initiatives that significantly improved trading outcomes and profitability
Data Scientist
QuanTech Africa | Mauritius
February 2019-August 2021- Co-founded a data science consultancy specializing in providing data-driven solutions for SMEs and Asset management companies.
- Designed data modeling processes empowering clients with data-driven solutions.
- Manipulated and analyzed large datasets to extract actionable insights and trends.
- Led data cleaning, aggregation, and organization efforts ensuring data integrity.
- Contributed to significant improvements in business decision-making processes. At least 20% improvement on all the projects.
Quantitative Business Analyst (Intern)
Hotels and Leisure Africa, Zimbabwe
August 2015 - July 2016- Analyzed hotel performance metrics (occupancy, ADR, RevPAR) to identify revenue optimization opportunities across branches.
- Built interactive dashboards using Excel and Power BI to monitor KPIs and assist decision-making.
- Applied time series models (ARIMA, Exponential Smoothing) to forecast seasonal room demand and guide pricing.
- Created cost optimization models that reduced overbooking and food & beverage waste by 15%.
- Automated reporting workflows with Python, cutting monthly reporting time by over 40%.
- Contributed to competitor analysis and supported implementation of dynamic pricing strategies.
Education
Master of Science, Applied Statistics with Operations Research
2018-2019University of Technology, Mauritius
Merit
Bachelor of Technology (Hons), Financial Engineering
2013-2017Harare Institute of Technology, Zimbabwe
2.1
- 1 year attachment at HALA Africa Hotels, Zimbabwe as a Quantitative Business Analyst
Certifications
- Certificate in Credit Risk Modeling in Python, 365 Careers & Udemy, 2020
- Applied Data Science II: Machine Learning & Statistical Analysis (with honors), WorldQuant University, 2021
- Applied Data Science I: Scientific Computing & Python (with honors), WorldQuant University, 2020
- ISO 9001:2015 Quality Management System Auditor, Udemy, 2024
Hire Me For Your Next Project
I'm available for freelance projects, consulting, and collaboration opportunities. Let's discuss how my data science expertise can help solve your business challenges.