I am a grad student pursuing a Masters in Engineering Management with a specialization in Supply Chain Analytics at Northeastern University. My area of expertise includes supply chain management, data analysis, data modeling, transformation, and visualization, project management, and process improvement.
I am graduating in August 2020 and I am actively looking for full-time opportunities available to start from October 2020.
Relevant Skills:
SQL (Databases - MySQL Workbench, PostgreSQL, MS SQL Server), R Studio, Python, Microsoft Excel (Advanced), Office 365 Suite (Power BI, PowerApps, Flow), Tableau, Flourish, Data wrapper
Relevant Coursework:
Data Mining Using R, Computation and Data Visualization, Supply Chain Engineering, Data Management & Database Design, Economic Decision Making, Deterministic Operations Research, Project Management.
Relevant Certifications:
Six Sigma Green Belt (Institute of Industrial & Systems Engineers)
Project Portfolio Management with Microsoft Project (CADD)
-
Experience
Wayfair -
Supply Chain Data Governance Analyst Co-op:
• Managed Cyber 5 clean-up project to identify and update products with incorrect delivery options. Clean-up reduced negative customer interactions by 128K and saved $2.6 million in cost.
• Planned and executed a 19-week project that saved $5.9 million in 2019 by identifying and updating ship method settings for products that received unauthorized charges.
• Redesigned and integrated routine work procedures through time tracking and continuous process improvement methods resulted in a manual time reduction of 26.3% per 30 working days.
• Oversaw performance of offshore teams on multiple ongoing projects, formulated a routing guide by analyzing historical incident tickets, and reduced escalations by 92.3% over 24 weeks.
• Streamlined process automation methods to minimize the routine level of effort by 53.3% and process run-time by 42.8% per 30 working days.
• Executed data reconciliation and supplier outreach programs focused on improving data quality and integrity.
Tool Analysis and Development - Data Governance Special Ad Hoc Project:
• Identified and fixed functionality bugs and code logic errors to improve the performance of an in-house tool and achieved a 68% reduction in process time per peak load.
• Investigated and categorized bugs based on severity, occurrence, and detection (Risk Priority Number).
• Collaborated with the Engineering team to develop fixes for high priority bugs and simultaneously devised efficient workaround methods to contain issues until fixes were deployed.
Information Technology Services, Northeastern University -
Customer Experience Technician (On-Campus Student Part-Time Employment):
• Analysed and resolved technical issues faced by the students, parents, and staff members of the Northeastern Community.
• Performed technical troubleshooting for Northeastern Applications, Outlook/Office, Gmail/G-apps, Account Management Services via email, phone, and in-person support systems.
• Managed help desk incidents by creating, updating, assigning, and resolving the incident tickets using the service-now platform.
• Assisted in the management of over 100+ Mac, Classroom Projector kits, PC Workstations, and Printers set up in the Library and remote locations across the campus.
Team Ojas (Formula Student Electric Racing Team) -
Team Manager:
• Spearheaded a cross-functional team of 58 engineers in National and International racing forums as a Team Manager and managed budget of the organization involving purchases, procurements, logistics, and inventory.
• Formulated an efficient timeline for the 2017 race season with optimum lead times from design to testing phase.
• Established an organizational breakdown by restructuring the management department into individual teams to focus on segments to enhance monitoring and control specifically.
• Analysed testing data with varying configurations of potential predictors to estimate suitable track settings using predictive modeling.
• Visualized and evaluated performance data using Tableau to plot recorded values against multiple configurations and identify deviations to obtain better results.
• Coordinated the Business Presentation team and was placed first in the National racing forum at Formula Green 2016 (India) and sixth at Formula Student Italy 2017 (Italy).
-
Projects
Wayfair -
Process Improvement and Workflow Integration:
• Analysed and identified the workflows within the team and across the stakeholders, established a process flow map having the most efficient stream with the shortage process time.
• Increased operational efficiency of processes by redesigning the process approach through formulated standard operating procedures.
• Evaluated the scope for automation and successfully automated processes on a daily and weekly basis.
• Conducted risk analysis and validated process efficiencies across multiple cross-functional lines of business to identify potential risks involved.
• Documented identified risks and developed a knowledge base for the team.
• Integrated all the associated workflows and developed a centralized reporting system to improve monitoring and visibility.
Academic Projects:
Automotive Dealer vehicle Database:
• Designed and deployed a relational database system for automotive dealerships to store and retrieve comprehensive information of a vehicle along with its service histories to provide automated service cost estimates.
• Implemented triggers to auto-populate fields across tables when a specific action is performed (Example - service log entry auto-populates appropriate fields in customer and vehicle tables).
Predictive Analysis of Airline Delays:
• Modelled unstructured data using data transformation and modeling techniques.
• Formulated multiple regression models and evaluated their performance metrics to obtain the best model.
• Identified potential predictor variables using stepwise logistic regression (forward and backward directions).
• Forecasted delay time based on multiple factors individually or collectively affecting the arrival time of an airline.
Data Visualization:
• Examined and visualized US farmers' market demographics against multiple factors to identify potential market locations.
• Illustrated key facts and trends using pictograms, maps, pie-charts, and more.
• Created dashboards to communicate key takeaways and action items pictorially.