Software Engineer (Business Intelligence) Resume

SUMMARY:

Business Analytics Graduate Student with nearly two years of experience analyzing data, deriving insights and creating user - interactive dashboards, seeking a position in the field of analytics to help organizations grow at an ever-increasing rate.

TECHNICAL SKILLS:

Machine Learning
Requirement Analysis
Marketing and Retail Analytics
Big Data Analytics
AGILE SCRUM
SQL, R, Python, C#, NoSQL
Data Mining, Warehousing and Visualization
Descriptive, Predictive and Prescriptive Analytics
Azure ML, R Studio, Excel, SSMS, SSIS, SPSS, Minitab, Tableau, PowerBI, Spyder, MS Office, SAS *, COSMOS, Arena, Adobe Omniture

PROFESSIONAL EXPERIENCE:

Software Engineer (Business Intelligence)

Confidential

Responsibilities:

Analyzed data and helped in forecasting the daily percentage of tickets missing the SLA.
Extrapolated data to help analyze disproportionate datasets to provide forecasts with higher accuracy and precision.
Created powerful user interactive dashboards using PowerBI and presented them to clients on a daily basis.
Did Proof of Concept study and research to help develop a Machine Learning algorithm that finds the most preferred paths taken by customers to reach Client’s websites and to have better strategies for digital marketing.
Created an optimized ETL solution that helped save over 88% of processing time for client’s Sales Data.
Helped new recruits get on board by providing knowledge transfer sessions.
Worked on multiple projects simultaneously to help deliver quality data to the clients on time.
Managedbig-data across data centers to help provide customers with better data extraction options.
Optimized data cube to provide faster data processing and availability for data visuals.

Assistant Software Engineer

Confidential

Responsibilities:

Collaborated with a team to work on front end technologies to create user interactive web forms and created dashboards on top of the collected data.
Ensured that the project deliverables were bug free and met the production deadlines.
Performed extensive code optimization along with testing automations to ensure bug free production environment.

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