Virtual Platform
* Developed a virtual platform for on-demand access to paper presentation videos
* Set up Zoom Meetings for live sessions with access granted only to registered participants

Sponsor Registration System
* Created customized sponsor registration systems in ASP with a SQL Server database for 5 conferences incorporating all client requirements
* Designed a visual booth selection interface using CSS Grid

Paper Management System
* Transitioned 15 year old code to assign reviewers to papers from PHP to Python
* Automated creation of post-conference proceedings as static HTML pages with full-text search across pdf files of presented papers using Python

Week In Memes is a blog that maintains a record of all Indian meme templates as they are generated and used

Automation of production line for a chemical manufacturer (8-month project)
• Conducted time study to identify potential opportunities for automation
• Recommended valve automation that cut process time by 9% and workforce requirement by 33%

• Designed course content and drafted lecture scripts to teach digital marketing to complete novices
• Created tests and case studies to follow Bloom’s taxonomy of learning

• Recruited and led a team of 6 employees to achieve 10 times growth in web traffic in 6 months
• Achieved 20,000 app downloads in three months since launch at an average cost of $1 per install

Go-To-Market strategy for an American vehicle service brand in India
• Performed SWOT analysis to identify opportunities and threats in the Indian market
• Prepared a business plan for sub-franchisee and master franchisee operations for 4 years

Supply Chain Transformation for a leading footwear manufacturer (10-month project)
• Mapped current state value stream using Microsoft Visio for facilities in 2 cities and drafted a future state map to eliminate waste
• Classified data of 100+ manufacturing facilities from SAP of finished goods, raw material and semi-finished goods inventory into 3 cost-based classes; formulated aggregate plans
• Improved service levels from 65% to 90% and increased rated production capacity by 20%

Mid to long term strategy in India for a leading automobile manufacturer (4-month project)
• Created buyer personas for all car models from customer survey
• Developed business plan to acquire at least 15% market share in each segment

Go-to market strategy for a power transformer manufacturer (3-month project)
• Conducted industry research to identify risks and mitigation strategies from competing companies
• Devised market entry plan via strategic mergers

•	Generated and edited content for promotional activities through social media
•	Identified key areas of grievances for regular users of social media; presented a report to the client
•	Devised an online interface to streamline the reporting process between promoters and the client marketing team; reduced the process time by 50%

•	Quantitatively analyzed the waste heat recovery process to optimally combine a steel plant and a power generation cycle
•	Extensively analyzed and compared the various methods to use firing of blast furnace gases in a waste heat recovery boiler and presented the report to senior management

• Conceptualized, marketed and executed the unique Live Your Passion campaign of Mood Indigo 2010.
• Managed payments and receipts of over INR 17 million and extrapolated the present and expected expenditures over the year and monitored the money spent on various sectors.

Software Engineer @ WorkSpan | Deloitte, upGrad | IIT Bombay '12 | Texas A&M '18 

Dwarkanath Prabhu • Software Engineer at WorkSpan • Peerlist Profile

• Simulated a port using SIMIO for variable demand for loading and unloading of freight
• Determined the requirement of drayage vehicles using the modeled simulation to achieve 99% service level

Drayage Vehicle Requirement with Demand Variability

• Analyzed a manufacturing dataset of 200+ dimensions and 500+ samples using Python
• Conducted Principal Component Analysis to reduce dimensions to 4 using a scree plot
• Set up T2 analysis using numpy package to identify out of control da

Phase I Analysis on Multivariate Data

• Applied classification methods in R such as logistic regression, SVM, trees, LDA etc. on the dataset to predict the signal quality from a radar system as “good” or “bad”
• Achieved the best 5-fold cross validation test accuracy of 92% usi

Classification of Radar Signals from Ionosphere

• Detected stance of the body text relative to the claim made in the headline to identify whether given headline-article pair agree, disagree, discusses the same topic, or are unrelated
• Encoded the headline and body text in two separate b

Fake News Detection Using Machine Learning

• Presented a poster to predict demand, avoid inventory pileup and minimize returns of expired stock for a drink manufacturer
• Secured 2nd Place among 60 participating teams from colleges in Texas