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Asfetaw Abay Abera

addxr4@r.postjobfree.com 240-***-****

*** ********* **, ************, ** 21793

PROFESSIONAL SUMMARY

IT professional with over 10 years of extensive work experience in developing and managing telecom industry software and technology specializing with BSS (Business Support System) & Security, financial and retail IT systems. A Software analyst and a grown system software engineer experienced in all the stages of SDLC and Agile methodology including designing, developing, testing and rolling out complex telecom software's. Experienced managing data related solution. Strong knowledge of a variety of machine learning techniques and their real- world application. Results oriented, self-driven, highly motivated, fast learner and hungry to learn new technologies, methodologies, strategies and processes. SKILLS

• Python, Apache MapReduce, C,

C++, C#, Visual Basic, SQL

,HTML, CSS and JavaScript.,

AWS S3and lambda functions

• Operating systems: windows

xp/7/10, windows server

2008/12/16, unix, linux

• Development Environment:

Jupytor Notebook, Microsoft

Visual Code, Apache Spark

(pyspark),

• NLP toolkit,Apache Spark SQL,

Microsoft Visual Studio, Trubo

C++,

• Hardware platforms, such as,

CPUs, ASIC, PLC,FPGAs,

Microcontroller 8051 .

• Databases: SQL, MS ACCESS

• Interpersonal skill Motivation,

problem solving, Active listening,

creative thinking, Teaching, Detail

oriented

• Project management, Supervised,

unsupervised and reinforcement

learning, Client and vendor

relation, Data mining

• Data analysis, Documentation and

reporting, Presentation

Skill,Communication, data

Analytics,AI,ML

EXPERIENCE

Machine Learning Expert

ThoughtCodes – VA, USA August 2018 - Current

• Designed and developed end-to end process (automated data wrangling, analyzing and documentation) using panda on Jupyter notebook. Migrate a legacy SQL based Analysis to panada based Analytics.

• Trained three technical staff in use of the technology and application. Prototype ML algorithms for ideating and testing

• Developed ML model using Scikit learn framework to predict the progression of diabetes, gradient descent solver for ridge regression, sentiment analysis using logistic regression, NLP, SVM. Gaussian Generative model for handwriting digit recognition classification and ML using Mixed Integer programming.

• Implemented collinear points algorithm, word counting and twitter text analysis with Apache spark. Big data Analysis with Apache spark datasets stored on AWS S3.

2

Environment :: Python, Panda, Numpy, Scipy, MatPlotLib, Scikit, MatPlotLib,Mapreduce, S3, Apache Spark. SQL, T- SQL, ETL and ML technics &Algorithm

Data Scientist:

Ethio Telecom – Addis Ababa, Addis Ababa, Ethiopia December 2016 - August 2018

• Used statistical methods to analyze large amounts of data and proposing predictive models for SQ (service quality)

• Monitored improvement schedules, KPI's and review SLA's for support tickets and improved accuracy on 225 sites.

• Mined and analyzed data from company databases optimization initiatives on 37 sites and improved the product development, marketing techniques and business strategies.

• Worked with 2G/3G/4G-networks, Interconnect and exogenous data, and tested and proposed, predictive models for anomaly detection systems, used statistical model and machine learning systems

• Created data for visualization, dashboard and reported company level Environment : SQL for data analysis, Excel, Huawi SQC, ML technics and algorithm,Python, Scipy, Jupyter Notebook, ETL Data Automation Architect:

Ethio Telecom – Addis Ababa, Addis Ababa April 2015 – December 2016

• Improved the efficient operations and support of internal IT network, corporate service and e- communication systems of the telecom company (Business Offices, sales Stores, Distribution Centers, Data Center).by 45%.

• Rolled out HP IT Service technology and improved the service desk unit by 50% to restore normal service operation as quickly as possible and minimized the impact to business operations.

• Delivered 100% actionable quantitative insights to a non-technical audience by utilizing data visualization techniques and dashboards, charts and graphs.

• Used predictive modeling to increase and optimize customer experiences, and business outcomes by 40%.

• collaborated with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

• Accepted and processed asset discovery, vulnerability assessment, intrusion detection, behavioral monitoring and SIEM (Security Analytics).

Environment : SQL for data analysis, python, Oracle ERP, SQL, MS-Excel ToolPak, HP Service Manager, MS-SCCM, MS Exchange, BICP (BI), ETL.

Data Security Architect: Fraud Detection

Ethio Telecom – Addis Ababa, Addis Ababa August 2013 - April 2015

• Monitored, and controlled telecom frauds and security breaches. Used predictive modeling to increase and optimize customer behavior and increased the revenue by 22%.

• Applied machine learning techniques to explore and prepare data for modeling.

• Worked with data designer to leverage existing data models and build new ones for fraud and anomaly detection as needed.

• Proposed and tested classifier model for telecom fraud detection system

• Collaborated with product development units and partners in the company to industrialize machine learning models and solution including workflows, documents, and technical Environment : Mcafee epo, SIEM security, USM Dashboard and Reports, FMS, SOC, SQL for data analysis, Excel, Araxxe TCG, SIGOS TCG,SIM BOX Detection, ETL

3

IT Process Architect:

Ethio Telecom – Addis Ababa, Addis Ababa December 2011 - April 2013

• Designed, implemented 12 ITIL processes, and IT service manager technology

• Performed day-to-day IT support on network, infrastructure, applications of internal IT systems of the project office. Environment : MS Visio, Ms-Project Management

IT Security Architect:

Ethio Telecom – Addis Ababa, Addis Ababa June 2009 - December 2011

• Designed and acquired appropriate security technology (SIEM) to make network security management efficient, matured the security domains 95% through log analysis.

• Rolled out IT infrastructure and Security Tools (Datacenter Networking, Workstation Deployment, NOC Monitoring Room, UAC, SOC SIEM)

• Designed and implemented ISO 9001 and ISO 27001 Global security policies. Environment : MS-Project Management

IT Senior Expert II

Ethio Telecom – Addis Ababa, Addis Ababa August 2007 - June 2009

• Coordinated and delegate the responsibilities of IT teams.

• Collaborated with department and functional team to plan, develop and implement IT process

• Reviewed assignments for accuracy and quality, Coordinated application of software releases Assistant Lecturer II

Defence Engineering College – Bishoftu, Oromia January 2005 - August 2007

• Instructed students in a wide variety of Computer Science and Engineering courses such as Computer Programming

(C/C++), OOP using C++, Data Structure and Algorithm Using C++, Computer organization, Principle of Microprocessor (x8085, x8086), Object Oriented Programming using C++.

• Coordinated Critical Defense Project: (Secure PC-to-Pc Data Communication), Data Encryption. Environment : intel Microprocessor 85/86, Microcontroller 8088. Turbo C++ EDUCATION

Micro Master in Data Science -Certified ML MOOC

University of California San Diego La Jolla, CA, USA December 2019 MBA in General Management

St.Marry University Addis Ababa, Addis Ababa July 2018 Bachelor of technology in Computer Science and Engineering Defence Engineering College Bishoftu, Oromia December 2004 CERTIFICATION

• Python for Data Science: December 16,2018

• Machine Learning: June 3, 2019

• Front Web Developer (HTML. CSS, and JavaScript): December 2,2018 4

ACCOMPLISHMENTS

1. Data Modeling

• Designed and developed automated data wrangling, analyzing and documentation process using python on jupyter. Increased the time of data acquisition, analysis and reporting by 100%.

• Designed a classifier model that classifies a fraudulent call which minimize the revenue loss of ethio telecom. Increased the fraud control by 23%.

• Designed a performance model using Machine Learning (ML) algorithm and Techniques: Regression algorithm on data analysis tool (MS Excel Toolpak) that increased the first resolution rate of ethio telecom service desk system by 50 %.

• Designed a process that identify the top risk computers using Mcafee epo. Increase computer malwares control by 100%.

• Developed an end to end process for detection, analysis and termination of suspected fraudulent calls from network. Increased control efficiency by 75%.

• Designed data encryption application both UI (written in VB) and encryption (written in C), for military department.

• Quantitative research (Machine learning (ML) frame works: sklearn.model_selection, Scikit learn algorithm, decision tree algorithm for classification, accuracy score) using publish available dataset such as UCI's Machine Learning Repository, IMDB Movie Dataset using the data analysis and documentation tool(python)

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