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
<p>Monitor, build and maintain complex and scalable ETL pipelines.<br>
Participation in the development of analytics systems and support the reporting solution.<br>
Optimisation and automation in the data warehouse with the help of python and DBT.<br>
Work on documentation to build the better onboarding process.<br>
Assess data quality and perform data cleansing if necessary.<br>
Tools: Python.<br>
Libraries: DBT, BigQuery, Airflow.</p>
<p>Support in the field of data analytics.<br>
Data-supported identification of technology and market trends.<br>
Creation, verification and testing of concepts and analyses.<br>
Tools: Python.<br>
Libraries: Tensorflow, Keras, PostgreSQL.</p>
<p>Writing the unit test cases in python for diferent modules.<br>
Tools: Python.<br>
Libraries: Pytest, unit-test, mockito.</p>
<p>Research on different libraries for time series forecasting.<br>
Implemented POC’s.<br>
Tools: Python.<br>
Libraries: Darts, Pdmarima, statsmodels, pmdarima, floodforecast.</p>
<p>Developed a tool which automatically triggers an alert for subsequent quarters’ ticket arrival rate that helped the team to reduce the expenditure by 20%.<br>
Created pivot tables using SQL stored procedures to generate time series data.<br>
Tools: R, Micrsoft-Excel, SQL, C#.<br>
Libraries: TSA, Holt-Winters, magrittr, factoextra.</p>
<p>Created dashboards in tableau according to the stakeholders requirements.<br>
Enabled KPI tracking in real-time which optimised manpower by 28% based on average ticket resolution time.<br>
Resource optimization using the Chi-Square test.<br>
Tools: Excel, R, Tableau and Power BI.<br>
Inferential statistical tool: Chi-Square.</p>
<p>Developed an R-Shiny application to forecast the daily, weekly, and monthly energy consumption of a user.<br>
Tools: R.<br>
Libraries: xts, forecast, zoo, DT, lubridate, dplyr, DT, dygraphs, plyr, dplyr, reshape2, shinyjs, TSA, shinydashboard.<br>
Implemented deep learning models for automatic ticket classification based on the call summary across all departments.<br>
Tools: Python.<br>
Libraries: Keras, LSTM, Sequential.</p>
<p>Responsible for design, build, deploy and maintain user-friendly and fully functional iOS applications.<br>
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.<br>
Optimized applications to minimize memory leaks and assure overall application stability.<br>
libraries: Keras, LSTM, Sequential.</p>
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