Machine Learning | Industrial Engineer | Data Science | Manufacturing
Graduate from Texas A&M University. 👨💻
I am learning all about machine learning, big data and data engineering, so I can build machines that build machines, become intelligent, and make our living abundant.
Currently, I am looking for a full-time opportunities in Data Science and Data Engineering fields. I love to learn and contribute towards machine learning community in every possible way to achieve the goals of smart machines. I'm passionate about technology, people and society.
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⚡ Languages: Python, SQL, R.
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Libraries & Tools: AWS< GCP, NumPy, Pandas, Scikit-Learn, Keras, Matplotlib, Seaborn, OpenCV, Plotly, Dash
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Machine Learning: GLM Regression (Linear, Logit) Classification, Decision Tree, Random Forest, Ensemble methods, k-Means/Hierarchical Clustering, SVMs, Principal Component Analysis, Neural Network, Deep Learning, Markov Decision Process, Bayesian Learning
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Statistical Techniques: Monte Carlo Simulation, Regression Analysis, Hypothesis Testing, A/B Testing
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Data Management Tools: SQL Server, Oracle
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Big-Data Technologies: Hadoop, Spark, Hive, Kafka
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Skilled in Cloud, ETL, Big Data Analytics, Data Modeling and Warehousing, and Apache Spark
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Skilled in Data Analysis: Exploratory Data Analysis, Quantitative Methods, Strong Statistical Foundation, Model Development & Evaluation Metrics, Data Wrangling, Image Processing, Ensemble Methods, Data Visualization.
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Machine Learning Projects:
- DataPipeline for Airbnb Data
- Amenities (Object) Detection --Github
- Walmart Sales Forecast
- Anomaly Detection in Electicity Consumption
- Netflix Dashboard
- Academic Project - Image Classification on CIFAR-10 using CNN
- Academic Project - RAM - Repelling Attracting Metropolis Algorithm
- Academic Project - Categorizing and Assessing Financial Risk for Health Insurance Companies
