- Manage & Support the marketing campaigns for a European Retail Major for 25+ countries by analyzing and predicting various living situations of its customers (In Progress)- Lead the Center of Excellence (CoE) efforts worth 2 Mn USD with a 10-member team for a Whole Car & Salvage Vehicle Auction Services Provider. Use cases involve Sale Price Prediction, assessing damage to a vehicle using image processing and creating a digital auctioneer- Creating advanced forecasting models using ARIMA, RandomForest and LSTM across various revenue streams for a leading automotive company- Responsible for hiring of data scientists and data/business analysts- Involved in sales/pre-sales efforts to help win more business

• Assessed car configurations to identify the best combinations and made recommendations for pre-built cars for a leading automotive major. Was deployed at client location in New Jersey for requirement gathering as well as outcome showcase• Developed and implemented a customer distress assessment strategy for a leading technology major with focus on identifying and reducing unfulfilled orders to help improve their topline• Designed and executed IT support ticket bucketing model based on their textual context for a leading technology major to facilitate smooth handling of ~10K tickets/month• Developed and implemented an automated IT ticket classification system (~70% accuracy) for a leading IT & Networking player thus facilitating reduction in ticket resolution time by ~35%• Assessed IT operations of 150+ clients and identified easily remediable pain points for quick wins; provided ticket volume forecasts (~60% accuracy) and correlation between description & resolution to facilitate faster resolution• Developed and deployed an open source tool using R to enable the customers assess their IT operations; the tool provides trends, patterns, correlations, ticket volume forecasts and most commonly occurring tickets• Assisted in the sales/pre-sales process on numerous engagements and showcased the organizations capabilities in the data science & analytics and machine learning space• Designed a platform based “Analytics As A Service” model to facilitate easy analytics solutions build and deployment

• Critiqued the Indian Education Market and assessed different educational technologies deployed across segments• Identified key providers in the Indian market and studied their business model along with their main customers and competitors• Performed gap analysis and recommended innovative products/solutions to improve the educational utility of Intel’s computing devices

Development of a Sustainable Income Generation Model for Self-Help Groups through Herbal Agarbatti Production- Proposed cost optimization steps through efficient raw material acquisition, inventory management and localized packaging. - Suggested single brand name, redesign of package, SKU size and PUSH distribution as a branding, sales and distribution strategy- Integrated Self-Help Groups into various steps of the income generation model from raw material sourcing to packagingImpact: Reduced costs of manufacturing Agarbattis by 20%. Integrated 6 Self-Help Groups into the income generation model.

B2B Integration Development Team on TIBCO suite of products for a global water, hygiene and energy technology provider- Successfully executed Proof of Concept and made a presentation to the client which helped TCS bag the project.- Designed the framework and streamlined the development/testing procedure. Led a team of 11 to successfully implement the project.- Handled project management activities such as Resource Allocation, Status Reports, Client meetings and Defect tracking.

EAI Application Maintenance & Support Team on TIBCO suite of products for analytical instruments, software, services and consumables manufacturer- Led a team of 10 to perform application maintenance and support of existing TIBCO applications ensuring uptime as per the SLA.- Recommended and implemented High-Availability clustering to ensure minimum application downtime during server failures.- Maintained a Disaster Recovery environment in sync with the production environment and participated in yearly rehearsals.