Vignesh J Email and Phone Number
Passionate AI professional with extensive experience in analyzing, modeling, and productizing machine learning and optimization models for the retail industry, capable of scaling up to handle hundreds of millions of data points.Key Highlights:- Proficient in price optimization, promotions optimization, markdown optimization, and inventory optimization.- In-depth knowledge and hands-on experience in mathematical optimization, algorithms, and data structures.- Skilled in building scalable applications to handle large datasets.- Proficient in programming languages such as Java, Kotlin, and Python.- Experienced in utilizing Big Data technologies, including Spark, Kafka, Cassandra, Hadoop, and Hive.- Well-versed in database management systems like Oracle and SQL Server.Areas of Expertise:- Inventory Optimization (First Mile): Employing optimization techniques to streamline inventory management across the entire supply chain.- Price Optimization: Leveraging data-driven approaches to optimize pricing strategies for enhanced profitability.- Markdown Optimization: Implementing intelligent algorithms to optimize markdown decisions and maximize revenue.- Promotions Optimization: Developing strategies and models to optimize promotional campaigns for improved customer engagement and sales.Additionally, currently exploring digital twin and control tower technologies in the supply chain to enhance visibility, decision-making, and operational efficiency.
Target
View- Website:
- target.com
- Employees:
- 155710
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Lead Data ScientistTarget Aug 2019 - PresentBengaluru Area, IndiaFirst-Mile Inventory Optimization: Developing strategies and models to optimize inventory management and ensure efficient supply chain operations in the initial stages of the product journey.Purchasing Algorithm Development: Utilizing advanced algorithms and data-driven approaches to optimize purchasing decisions, both for domestic and import operations.Truck Load Optimization: Applying optimization techniques to maximize the efficiency of truck load planning and transportation in the first mile of the supply chain. -
Data ArchitectJda Software Jul 2018 - Aug 2019Hyderabad Area, IndiaDeveloped and implemented a productized solution for computing price elasticity within the JDA Promotions optimization framework. This heuristic-based approach efficiently forecasts the demand resulting from discounts and non-price promotions. The solution incorporates the impact of cross effects such as Halo and Cannibalization, enabling accurate analysis and optimization of promotional strategies.Provided support for the implementation of the promo-opt solution for large retailers with hundreds of millions of SKU (Stock Keeping Unit) products. Collaborated with cross-functional teams to ensure a successful integration and smooth execution of the solution, resulting in improved promotional effectiveness and revenue growth.Utilized performance engineering techniques to optimize the efficiency and effectiveness of the promotional optimization system. Conducted thorough analysis, identified bottlenecks, and implemented enhancements to enhance system performance, resulting in faster processing times and improved overall system scalability. -
Senior Data EngineerJda Software Jul 2015 - Jun 2018Hyderabad Area, IndiaImplemented price optimization using Mixed Integer Programming (MIP) with CPLEX, a powerful optimization tool. Leveraging this approach, I developed and deployed a robust price optimization solution that maximized revenue and profit margins for JDA's clients. The utilization of MIP with CPLEX allowed for sophisticated mathematical modeling and precise decision-making in the pricing strategies.Provided support for solution implementation across multiple customers. Collaborated closely with clients and cross-functional teams to ensure a seamless integration of the price optimization solution into their existing systems. Applied performance engineering techniques to optimize the efficiency and effectiveness of the price optimization system. Conducted thorough performance analysis, identified performance bottlenecks, and implemented enhancements to improve system response times, scalability, and overall performance. -
Data EngineerJda Software Nov 2012 - Jun 2015Hyderabad Area, IndiaPlayed a key role in developing and refining a rules-based engine for pricing and markdown solutions using Mixed Integer Programming (MIP) with CPLEX. This involved designing and implementing mathematical models, algorithms, and business rules to optimize pricing and markdown strategies.Provided dedicated support for the implementation of the pricing and markdown solution across multiple customers. -
Software EngineerTech Mahindra (Formerly Mahindra Satyam) Feb 2010 - Nov 2012Hyderabad Area, IndiaDeveloped and implemented an efficient order management system to streamline the company's order processing operations. This involved collaborating with cross-functional teams to gather requirements, design the system architecture, and oversee its successful implementation.Designed and implemented bundling and auction strategies to optimize the company's sales and distribution processesLed category management initiatives to drive product portfolio optimization and enhance competitiveness.
Vignesh J Education Details
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Software Engineering -
Distinction -
Sree Narayana Central SchoolDistinction
Frequently Asked Questions about Vignesh J
What company does Vignesh J work for?
Vignesh J works for Target
What is Vignesh J's role at the current company?
Vignesh J's current role is Lead Data Scientist @ Target | Ex Blue Yonder (JDA).
What schools did Vignesh J attend?
Vignesh J attended Bits Pilani, Anna University - India, Sree Narayana Central School.
Who are Vignesh J's colleagues?
Vignesh J's colleagues are Alec Carstensen, Austin Phillips, Raquel Kodl, Kylee Schaadt, Robyn Saleen, Kylie Machens, Ahmed Rais.
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