Farhan Kardan

Data Engineer

Dubai, United Arab Emirates6 yrs experience

Most Likely To Switch

Key Highlights

Expert in algorithmic trading and quantitative strategies.
Proven track record in developing real-time data pipelines.
Strong foundation in machine learning and deep learning techniques.

Stackforce AI infers this person is a Fintech Data Scientist specializing in algorithmic trading and machine learning.

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Skills

Core Skills

Algorithmic TradingMarket MakingBusiness Intelligence (bi)Machine LearningData EngineeringData Science

Other Skills

AirflowAlgorithmsAnomaly DetectionBack-End Web DevelopmentCNN-LSTMClickHouseData ModelingDeep LearningETLEnsemble MethodsExploratory Data AnalysisGo (Programming Language)GrafanaKafkaKeras

About

Farhan is a Data Scientist with 5 years of experience, specializing in solving complex problems with data and machine learning. He has expertise in Business Intelligence (BI), SQL, Airflow, ETL processes, MongoDB, Kubernetes, data engineering, EDA, time series analysis, and algorithmic trading infrastructure. Farhan is also skilled in machine learning, deep learning, and statistical techniques. If you're looking for a results-driven Data Scientist with a strong technical foundation, let's connect.

Experience

Coinlocally

Data Engineer | BI Analyst

Feb 2024 – Present · 2 yrs 1 mo · Yerevan, Armenia · On-site

Ibloxx proprietary trading dmcc

Market Maker | Quantitative Engineer

Mar 2022 – Feb 2024 · 1 yr 11 mos · Dubai, Dubai, United Arab Emirates

iBLOXX – Proprietary Trading Firm | Algorithmic Trading & Blockchain
Designed and built an HFT platform for market-making and quantitative strategies, supporting 10+ crypto exchanges with scalable bot management. Developed advanced market-making strategies by integrating options, liquidity analysis, and tick-based market imbalance indicators.
Created real-time dashboards with Power BI, Grafana, and SQL for performance monitoring and trading analytics. Leveraged ClickHouse OLAP for ML-driven market-making and implemented MLOps with Kafka for model retraining. Built an ML model achieving 56% accuracy in crypto market predictions using ensemble methods.

Algorithmic TradingMarket MakingQuantitative StrategiesPower BIGrafanaSQL+4

Aping technologies

Data Scientist | Data Engineer

Feb 2021 – Mar 2022 · 1 yr 1 mo · Dubai, United Arab Emirates

Aping Technologies – HFT & Algo Trading in Crypto & DeFi
Developed real-time data pipelines with Airflow and PySpark for large-scale market data processing and feature extraction. Optimized SQL/NoSQL data models for fast, reliable trading system performance. Applied ML techniques (XGBoost, Random Forest, TensorFlow/Keras) for predictive trading strategies, enhancing accuracy by 9% using anomaly detection (Isolation Forest, Autoencoders) and LSTM/RNN optimization. Designed arbitrage and execution systems for Uniswap V3, leveraging advanced algorithms for performance optimization.

AirflowPySparkSQLNoSQLXGBoostRandom Forest+7

Cryptoland

Data Scientist

Mar 2020 – Feb 2021 · 11 mos · Tehran, Tehran Province, Iran · On-site

CryptoLand – Leading Crypto Exchange in Iran (300,000+ Active Users)
Developed deep learning models (CNN-LSTM, Seq2Seq) for cryptocurrency price prediction, leveraging large-scale datasets and Monte Carlo simulations. Built ML-driven strategies to optimize order book liquidity and detect real-time arbitrage opportunities between CryptoLand and Binance. Designed ETL pipelines to generate candlestick pattern datasets, enhancing time-series modeling. Applied AI techniques to identify and mitigate market manipulation, improving market stability and compliance.

Deep LearningCNN-LSTMSeq2SeqMonte Carlo SimulationsETLTime-Series Modeling+2