Profile Details

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Hire Dr. Alessio M.

Italy

USD 75 /hr

Reliability & Machine Learning Engineer

Profile Summary

I hold a Master Degree in Mechanical Engineer (Energy & Process Engineering specialization) and a Ph.D. in Computer Science applied to Industrial Engineering. The combined knowledge of data science techniques and industrial processes is my added value with respect to other data scientists because it let me select the proper algorithms without neglecting the real context of the machine learning application. Besides I have both experiences in the academic world and in the industrial framework thanks to 3 years spent as a Research Associate (Post-Doc) in a large Italian company operating in the energy field. This aspect lets me approach each project with a more eclectic way of thinking at the possible solution which guarantees the client satisfaction. I am a professional engineer registered to the Orders of Engineers of Alessandria district (Italy) with order number A-2269, as shown in my portfolio. ************************ DESCRIPTIVE & PREDICTIVE SERVICES PROVIDED ********************** 1 - Power Generation A . . Descriptive Analysis . . . . . . Users Clustering by Energy Consumption . . . . . . Users Classification by Energy Consumption . . . . . . Features Engineering (Variables Selection) . . . . . . Anomaly Detection (Sensor Fault, Equipment Failure) . . . . . . Root Cause Analysis (RCA) B . . Predictive Analysis . . . . . . Energy Demand Forecasting . . . . . . Anomaly Prediction (Sensor Fault, Equipment Failure) . . . . . . Predictive Maintenance 2 - Process Engineering A . . Descriptive Analysis . . . . . . Features Engineering (Variables Selection) . . . . . . Anomaly Detection (Sensor Fault, Equipment Failure) . . . . . . Root Cause Analysis (RCA) B . . Predictive Analysis . . . . . . Anomaly Prediction (Sensor Fault, Equipment Failure) . . . . . . Predictive Maintenance ************************************* PROGRAMMING SKILLS **************************************** - MATLAB : Excellent, 8 years of experience, version R2017b (Windows 10) - Python : Good, 1-2 years of experience, version 3.6 (Windows 10) - R : Good, 1-2 years of experience, version 3.4.3 (Windows 10) I have also an excellent capability of GUI programming in MATLAB (mainly using the built-in tool GUIDE), as shown in my portfolio. ********************************* DATA PRE-PROCESSING SKILLS *********************************** - Data Acquisition (API from web, OPC from) - Data Filtering - Data Transformation - Dimensional Reduction (PCA, PLS, LDA) - Outliers Removal - Data Cleaning - Data Standardization/Normalization **************************** MACHINE LEARNING TECHNIQUES KNOWLEDGE ******************* - Features Engineering (Variables Selection & Ranking) . . . Filter Methods (Pearson Correlation, Distance Correlation, Mutual Information, etc.) . . . Wrapper Methods (Stepwise Regression) . . . Embedded Methods (LASSO, Ridge Regression, Elastic Net) - Supervised Learning . . . Artificial Neural Network (ANN) . . . Multiple/Multivariate Regression (MLR) . . . Principal Component Regression (PCR) . . . Partial Least Squares Regression (PLSR) - Unsupervised Learning . . . Partitional Clustering: k-means ********************************* DATA POST-PROCESSING SKILLS ********************************* - Results Visualization (scattered plots, histograms, bar charts, etc.) - Results Interpretation - Report Creation *************************************** APPROACH TO WORK **************************************** My common approach to the projects involves 3 main steps: 1) Kick-off Meeting The project details are discussed and agreed with the client splitting the work in milestones (each milestone has a specific amount and deadline). I am open to sign a NDA before the project beginning. 2) Intermediate Workshops Around each milestone deadline, a deailed update about the current status of the project is provided (the results obtained are discussed and commented with the client) 3) Close-Up Meeting The final documents (files & report) are delivered to the client. For large project I usually prefer to meet the client in his headquarter for each step described above, while for mid to small projects the aforementioned activities can be carried out remotely through Skype. Usually a weekly update about the status of the project is provided. ************************************* PERSONAL MOTIVATION *************************************** I am an open mind person willing to improve myself continuously. I think that hard work combined with the right choices is the right way to reach the personal satisfaction and success.

Subject Matter Expertise

• ☆ Signal Processing
• ☆ Mechanical Engineering
• ☆ Industrial Engineering
• ☆ Data Analysis
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Cluster Analysis
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Artificial Intelligence
• ☆ Multivariate Analysis

Services

• Data & AI

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing, Data Insights

Work Experience

Owner & Business Manager

α μ Engineering Services

January 2017 - Present

Research Associate

Ansaldo Energia S.p.A.

January 2014 - December 2016

Research Associate

N.E.T.L. (National Energy Technology Laboratory)

May 2012 - August 2012

Education

Ph.D. in Mechanical Engineering (Energy)

Università degli studi di Genova

January 2011 - December 2013

Master Degree in Mechanical Engineering (Energy)

Università degli studi di Genova

September 2008 - September 2010

Bechelor Degree in Mechanical Engineering

Università degli studi di Genova

September 2004 - September 2008

Certifications

• Certification details not provided.