Hi! I am Boben. I am passionate about using data to solve business problems and improve business processes.
I have professional work experience in areas of Analytic, Service Quality, Logistics, Operations and Project Management. During my professional career, I worked in multiple projects, including Customer facing roles and collaborated cross functionally with multiple teams to implement applications and bring impactful data-driven Process Improvements to the organization.
I enjoy solving business problems using data and work efficiently with multiple stakeholders to drive insightful decision-making. In my past roles, I have actively used data analytics to process data and come up with valuable insights to solve business problems. I am confident in performing quantitative data analysis and experienced in translating business needs into technology solutions, defining business KPIs and metrics that improve the efficiency and effectiveness of operational processes. I have applied predictive machine learning models to solve business problems and through impactful visualizations, have effectively communicated to the stakeholders for insightful decision-making and data-driven reporting.
I like to work in different projects to improve & expand my domain knowledge, constantly learn latest tools and technology to contribute more efficiently, utilize mentorship to track my career development milestone, setting individual career goals and detailed plan to achieve them. Through my experience and knowledge, I have also mentored several colleagues & friends in their Career Development journey.
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Experience
Business Analyst, Insight Global June 2020 to present
• Applied Data Analytics on frequency of purchasing data to identify the procurement pattern for turnaround projects
• Resolved Identification of critical material requirement through the analysis of historical procurement data using analytics.
• Identified opportunities for improvement in maintenance turnaround projects through Six Sigma DMAIC
• Created planning of controllable requirements through analysis of purchasing transaction data
Service Quality Intern, APL Logistics, Scottsdale AZ May 2019 – Aug 2019
• Created Revenue leakage identification process for NVOCC business for the North America region
• Applied business analytics and Six-Sigma DMAIC framework to identify underlying process gaps causing revenue leakage
• Resolved business reporting system issues through working cross functionally with corporate finance and IT teams
• Communicated root cause analysis, findings, and recommendations to the leadership team for mitigation of business issues
Industrial Engineering Intern, DHL Express, Tempe AZ Jun 2018 – Dec 2018
• Developed SQL Database, Stored Procedures, Views and Queries for a web based KPI reporting BI project
• Created SQL server integration service (SSIS) and Reporting service Packages (SSRS) for ETL and Reporting process
• Worked cross functionally with teams to understand the requirements and gather information for project
• Conducted UAT, Prepared Process Documentation and SOP for User Training
Project Manager, DHL Express, India Jun 2016 – Nov 2017
•Led the implementation of online custom entry submission system for express cargo clearance at DHL Delhi facility, the
project was developed jointly by Indian Customs and Express Industry Council of India
• Managed the implementation for bill of entry preparation application at DHL Delhi facility, reducing the overall process
timing for bill of entry preparation by 20%
• Created process maps and project schedule for implementing continuous improvement processes in import clearance
• Analyzed data, forecasted trends on shipment volumes for higher performance in clearance and customer contact
Senior Engineer, CG Power and Industrial Solutions, India Jul 2009 – Jun 2015
• Led the NABL Accreditation of the Transformer Testing Laboratory by coordinating with 5 National Laboratories
• Accomplished 12% reduction in customer complaint by implementing Customer Satisfaction Index approach
• Achieved 10% reduction in Test Bed Rejection by Implementing Process monitoring at the manufacturing production stage
• Handled Latin America and EMEA customer base for Factory Inspection and After Sales
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Projects
Solar Energy Analysis : Developed predictive model for solar
power generation and electricity cost simulation using excel
and @risk.
Kaggle “House Prices: Advanced Regression Techniques”:
Processed data to mitigate missing values, used different
regressors with combination of multi-layer stacking and
hyper-parameter tuning. Rank within top 44%.
Workforce Optimization: Developed optimization model
for workforce management in call-center based on service
level, probability of incoming calls (Erlang C) and using nonlinear optimization technique.
Marketing Campaign Analysis: Created logistic regression
model with factor analysis for offer acceptance prediction
using R