Atique Abbas
Senior Data Engineer @PAIR Finance
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WORK HISTORY
Senior Data Engineer @PAIR Finance
Berlin, DE
Worked on migrating analytics pipelines to serverless infrastructure using AWS Batch and EventBridge- Worked on setting up a Redshift data warehouse with RBAC policy-based access control implemented through Terraform- Worked on improving MLOps processes for LLM-based AI agents
EDUCATION
University of South Asia
Bachelor’s Degree
ABOUT ATIQUE ABBAS
Data Scientist with more than 6 years of experience with Statistical models and Neural Networks, working at one the largest chemical and electricity generating industry in sub continent for last 3 years. Trained and deployed models for 4 Industrial Machine Learning projects and 3 from other sectors i.e. social science, stock trading etc.Total 7 deployed machine learning solutions.Have taken more than 20 courses on Data science and Machine learning from Prof. Andrew NG, Kirill Eremenko, Coursera, Data camp and Udemy.Technologies:Python, R, WebApis, Java, Octave, MySQL, PostgreSQL, Scikit-learn, Keras, Pandas, Numpy, Scipy, NLTK, Statsmodel, Seaborn, Matplotlib, Plotly, Jupyter, PyCharm, Spyder, Windows 10, Windows 7, Linux, Git, JSON, AWS, Azure.Core Competencies:Predictive modeling, Recommendation systems, Function minimization, Deep Learning, NLP, Information visualization, Data Analysis, Supervised Learning, Unsupervised learning.Projects- Anomaly detection and performance monitoring ( Neural Networks)- Performance optimization using prescriptive modeling for power plant ( Random Forest)- Classification and Identification of faulty Instruments ( Random Forest )- Performance optimization using prescriptive modeling for Chemical Plant(SVR, Random Forest and LSTM)- Statistical Data Analysis And ML on Stock prices (Lag Analysis, Concurrent and Predictive behavior Analysis, Markov Hidden Regime detection Model)- Clustering based Solution for Dating platform (K-Mean)- Identification of types of gear (Random Forest, KNN, MLP)
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