SUMMARY:

• Experienced Data Engineer with hands - on experience in gathering data from various sources, devising and developing automated data pipelines to collect and transform data, make the data ready for different consumption like predictive analytics, business intelligence reporting/charts/dashboards.
• Experienced in high-tech, high-growth, fast-paced and high-pressure environments across various Domains like Telecommunication, Data Management, Engineering, Retail, and Stakeholder Engagement.

EXPERIENCE:

Confidential, Tampa, FL

Data Engineer

Responsibilities:

• Create and maintain automated ETL processes with a special focus on data flow, error recovery, and exception handling and reporting.* Gather and understand data requirements, work in the team to achieve high - quality data ingestion, and build systems that can process, transform, and load the data.* Maintain the quality and health of data from initial ingestion to deployment and UI experience. * Create BI reports and develop insightful dashboards leveraging Microsoft SSIS, SSAS, and specifically designing reports using Power BI and Tableau. * Set up data pipelines in the cloud to run scheduled and on-demand data-migration tasks from on-prem data centers into a centralized repository (AWS cloud platform).* Worked on recreating data pipelines in AWS architecture, worked on EC2, S3 storage systems.* Ensure agile development activity is broken into epics, stories, and tasks and document the progress in JIRA and confluence for effective tracking and monitoring.* Develop high-quality Python analysis modules based on complex requirements for 5G and/or 4G/LTE wireless technologies.

  Perform ad-hoc analysis and develop reproducible analytical approaches to meet Verizon s business requirements and other on-demand analysis tasks. * Write Python script to analyze datasets, cleanse and translate data, and perform tasting and data-migration from on-prem Oracle DB into a cloud data warehouse.* Create scripts in Python integrated with Amazon API to control instance operations.* Write SQL logic to verify and validate the correctness and completeness of the data-migration task.

Confidential, Washington, DC

Data Science Fellow

Responsibilities:

• Developed LSTM model making use of Keras API to predict the energy usage of a commercial building at 14% Mean Absolute Percentage Error (MAPE).* Obtained the data, pre - processed it, and scaled the dataset and made it suitable for deep learning algorithms.* Performed feature engineering and converted the sequential multivariate data applicable for Keras Functional API. * Built a machine learning model resulting in a 77% accuracy using regression in scikit-learn to predict if a customer will subscribe to the term deposit on a direct phone marketing campaign. * Applied SMOTE oversampling technique on the predictor class and created an easy to interpret confusion matrix.* Optimized the classification model by performing 10-fold cross-validation.

Confidential, Washington, DC

Engineering Data Analyst

Responsibilities:

• Collected data from multiple data sources using SQL and other data mining techniques to understand patterns, identify relationships, detect anomalies, and build predictive models.* Presented design and analysis ideas to team members, leads, and higher management. * Collaborated with other engineers and business intelligence (BI) analysts when we competed and won $32 - million in total funding for the Solar For All initiative in Washington, DC. * Engage with senior management to design, deploy, and manage reporting, forecasting, planning, and data analysis of software and tools.* Created progress reports, dashboards, and ad-hoc analysis using Power BI.* Used JIRA to issue tickets, follow-on on progress, and close tickets as necessary.* Maintain a Python deployment script for the web application server (API) in AWS.

Confidential, Fairfax, VA

Energy Data Analyst

Responsibilities:

• Developed and streamlined the energy data analysis process resulting in a four - minutes reduction in analysis time, this in turn, increased the productivity of energy analysis by 15%.* Collaborated with web-based application developers in migrating very sensitive and confidential datasets into the cloud-computing.* Analyzed the energy performance of existing buildings through data analytics and provide meaningful insights to building owners, mechanical designers, and energy efficiency professionals to advance their work.

Confidential

Data Analyst

Responsibilities:

• Performed data research analysis to understand current and past performance, analyze trends, identify and participate in making recommendations for business process enhancements that improve decision - making capability for the organization. * Designed and wrote reports and presentations for a variety of audiences like procurement stuff and management, university administration, customers, suppliers, and other stakeholders. * Understood AAiT s various data sets, developed and improved data collection methods, worked with others to create strategic and tactical supply chain performance measures, drew on multiple data sources while preparing complex spend and pricing analysis.