Asad Molayari Email & Phone Number

United States

Waltham, MA, US

Tulsa, Oklahoma, US

• Developing end-to-end Data Acquisition, ETL, Data Analytics, Prediction, and Forecasting models for Gas Compression systems. Pre-processing, EDA, Data Cleansing/Quality, Feature Extraction, Machine Learning models.
• Anomaly Detection/classification/prioritization using high dimensional/frequency sensor data
• Develop advanced analytics and actionable info from complex data (+800 real-time sensor and controller)
• Conduct Proof-of-Concept and manage customer engagement

Washington, District Of Columbia, US

Leading the R&D Data Science team for New Product Development (NPD) at Hach

Operated and strategized the startup. Managed a team of 5 developers. Designed the web/mobile Apps in the frontend and maintained the backend. Marketed on social media, pitched, and maintained the PR. (Android Studio, Clubhouse Project Management, Adobe Illustrator, Microsoft Visio)

• Developed a series of machine learning models to detect/predict/classify anomalies in time series high-frequency data. Performed deep EDA. Created engineering and statistical features. Leveraging NLP and built advanced.
• Ensemble of machine learning models in python and AWS to detect, predict, and classify anomalies in time series data (EC2, S3, SageMaker, KNN, iForest, LightGBM, DNN, RNN, ARIMA)
• EDA, feature engineering, and custom metrics (Python, Dash, Plotly, Matplotlib, Seaborn)
• Data acquisition, ETL, preprocessing, cleansing, and quality (Python Scripts, AWS, Jupyter)
• Engaged and Managed software developers, Dashboard & visualization (VM, Git, Django, CSS, HTML, vue.js)

Tulsa, OK, US

Developed ensemble of time series machine learning and rule-based models for anomaly detection, failure prediction and evaluation for highly volatile real-time sensor data. Built highly predictive features. Leveraged NLP to create advanced features. Worked on Digital Twin of the physical assets. Conducted proof of concepts, maintained client’s relationship.

Tulsa, OK, US

Major contributor to the eLynx Anomaly Detection Model (Patent Pending). Built a series of machine learning/heuristic models for numerical sensor data in python. Performed feature engineering. Cleaned, prepared and labeled training dataset for ESPs, Plunger Lifts and Gas Lifts. Developed customized metrics to evaluate the models through Precision, Recall.

Houston, Texas, US

Monitored and analyzed the operational behavior of oil and gas equipment via SCADA and real-time sensor/time-series data. Identified various anomalous signatures, leveraged metadata and troubleshoot remotely. Developed forecasting models (regression) for the oil/gas decline curves. Built Heuristic rule-based alarms. Optimized the production goals for the.

Developing mechanistic model and running experiment for "Multiphase Flow Splitting Balanced Feed Manifold (BFM)" as my current master's project.

Teaching "Multiphase Flow Pattern" and "Multiphase Separation" experimental facilites.

• SAICO (Sanaye Ab Va Omran Iran Co.) is an active company in Water and Waste Water Treatment Industries.
• Designed and optimized positive displacement blowers (Roots Blowers), analyzed dynamic and static balancing
• Modeled acoustic enclosures for Roots Blowers as sound proofing based on ISO standards

Interpreted and investigated blower units

Designed and manufactured a special axial fan for testing the CFM and sound pollution

Master Of Science (M.Sc.), Petroleum Engineering

Master Of Science -Statistical Thermodynamics (M.Sc.), Statistical Thermodynamics, Andfluid Mechanics In Mems, Within The Top %7.5 Of Graduating Class

Bachelor Of Science (B.Sc.), Mechanical Engineering