Experienced Data Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Statistical Data Analysis, Statistical Modeling, HTML, Objective-C, and R. Strong informati…
Experienced Data Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Statistical Data Analysis, Statistical Modeling, HTML, Objective-C, and R. Strong information technology professional with a Bachelor's Degree focused in Computer Science and Engineering .
Responsibilities:
− Build and maintain scalable ETL pipelines.
− Responsible for monitoring load and maintaining clickhouse server and identifying solution in-case of server load-shedding.
− Server migrations and schema evolution on Schema registry
∗ Tools: Python Libraries: Clickhouse, S3 storage,Airflow, Grafana, Graylog
Monitor, build and maintain complex and scalable ETL pipelines.
Participation in the development of analytics systems and support the reporting solution.
Optimisation and automation in the data warehouse with the help of python and DBT.
Work on documentation to build the better onboarding process.
Assess data quality and perform data cleansing if necessary.
Tools: Python.
Libraries: DBT, BigQuery, Airflow.
Support in the field of data analytics.
Data-supported identification of technology and market trends.
Creation, verification and testing of concepts and analyses.
Tools: Python.
Libraries: Tensorflow, Keras, PostgreSQL.
Writing the unit test cases in python for diferent modules.
Tools: Python.
Libraries: Pytest, unit-test, mockito.
Research on different libraries for time series forecasting.
Implemented POC’s.
Tools: Python.
Libraries: Darts, Pdmarima, statsmodels, pmdarima, floodforecast.
Developed a tool which automatically triggers an alert for subsequent quarters’ ticket arrival rate that helped the team to reduce the expenditure by 20%.
Created pivot tables using SQL stored procedures to generate time series data.
Tools: R, Micrsoft-Excel, SQL, C#.
Libraries: TSA, Holt-Winters, magrittr, factoextra.
Created dashboards in tableau according to the stakeholders requirements.
Enabled KPI tracking in real-time which optimised manpower by 28% based on average ticket resolution time.
Resource optimization using the Chi-Square test.
Tools: Excel, R, Tableau and Power BI.
Inferential statistical tool: Chi-Square.
Developed an R-Shiny application to forecast the daily, weekly, and monthly energy consumption of a user.
Tools: R.
Libraries: xts, forecast, zoo, DT, lubridate, dplyr, DT, dygraphs, plyr, dplyr, reshape2, shinyjs, TSA, shinydashboard.
Implemented deep learning models for automatic ticket classification based on the call summary across all departments.
Tools: Python.
Libraries: Keras, LSTM, Sequential.
Responsible for design, build, deploy and maintain user-friendly and fully functional iOS applications.
Ensured all applications are developed with the Software Development Lifecycle, object oriented, efficient data structures, design patterns (MVC), fulfilling business requirements and well tested functional specifications.
Optimized applications to minimize memory leaks and assure overall application stability.
libraries: Keras, LSTM, Sequential.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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