Business Analyst AGILE Resume

PROFESSIONAL SUMMARY:

Certified Business Analyst from Confidential with 3 years of experience in Data management and Analysis using SQL, providing business solutions with analytical approach to help make better decisions

TECHNICAL SKILLS:

Tools: SQL, R, Tableau, Java, Python, SAS (EM, JMP), Hadoop, SPSS, Visio, Excel, Linux, Salesforce, Oracle, GIS

Techniques: Data mining, Machine Learning, Decision/Predictive Modeling, Cluster Analysis, ANOVA, Data mining

WORK EXPERIENCE:

Confidential

Business Analyst AGILE

Developed strong partnerships with our Clients by creating innovative and efficient solutions for business
Revised standard operational processes by automating and creating new processes improving 7 functional areas in the project using Java and SQL.
Facilitated file sharing and correspondence tracking with SharePoint for business requirement documents (BRD)
Engineered business dashboards and reports using SQL, R, Tableau to help improve traditional methods by which stakeholders and supervisors evaluated technician performance and grade.
Collaborated with clients and international teams (US, Manila) to reduce SQL query return time to half on a critical project for the fleet/vehicle management system.
Showcased excellent communication and presentation skills with the ability to present information effectively to technical and non - technical customers/stakeholders helping to add 3 additional portfolio works.
Developed a functionality to reduce “Technician revisiting cost”, saving empty trip cost for 35% cases
Instrumental in leading a team to automate codes for data collection and report generation, using SQL and Java, reducing processing time and manual effort by 3 hours/day. Published in Confidential success stories.

Confidential

Business Analyst

Marketing mix modeling using SPSS to analyze marketing channels and reallocate spends to increase ROI by 10 %
Gathered external data using SQL to identify key drivers influencing services in regions to maximize sales
Identified strategies to improve customer satisfaction, improved referral structure for customer retention and new sales by cross-marketing and implementing Salesforce to transition from legacy CRM systems.

Confidential

Business Analyst

Gathered external data and identified key factors to identify potential claim customers.
Optimized the previous method to bin customers in correct premium bucket categories by building a predictive model using Linear regression, GLM, Neural Net, Poisson and Tweedie distribution for 70 % of Insurance claims.