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.

• ⚡ Languages: Python, SQL, R.

• Libraries & Tools: AWS< GCP, NumPy, Pandas, Scikit-Learn, Keras, Matplotlib, Seaborn, OpenCV, Plotly, Dash

• 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

• Statistical Techniques: Monte Carlo Simulation, Regression Analysis, Hypothesis Testing, A/B Testing

• Data Management Tools: SQL Server, Oracle

• Big-Data Technologies: Hadoop, Spark, Hive, Kafka

• Skilled in Cloud, ETL, Big Data Analytics, Data Modeling and Warehousing, and Apache Spark

• Skilled in Data Analysis: Exploratory Data Analysis, Quantitative Methods, Strong Statistical Foundation, Model Development & Evaluation Metrics, Data Wrangling, Image Processing, Ensemble Methods, Data Visualization.

• 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