Syed Muzaffar

Experience

• 

  Mu Sigma Inc.

  May 2016 - Sept 2019

  Decision Scientist

  1. Built customer segmentation models for effective marketing strategies for a leading global payments company2. Built capacity forecasting, demand forecasting, capacity allocation and logistics planning solution for digital transformation of future value chain of a large steel manufacturing company in Europe3. Built price elasticity and cannibalization models for a retailer in Europe and helped them identify pricing sweet spots of their products4. Developed a promotion effectiveness measurement tool for a retailer in Europe and helped them identify successful promotions and simulate ROIs for future promotions5. Rationalized reports and KPIs for the supply chain analytics wing of a telecommunication company based out of USTechnologies Used: Python, R, SQL, Spotfire, Tableau, Power BI, Excel Show less

• 

  Ganit Inc.

  Sept 2019 - Aug 2022

  1. Built neural-networks based pricing solution for a retailer which recommends daily price points for more than 1 million store-sku combinations2. Helped a US fashion retailer to measure effectiveness of promotions and recommended promotions with high success rates; Developed a statistical methodology to identify test and control groups to run promo experiments and measure success3. Developed a forecasting engine to set targets for area sales managers of a global CPG company as part of FP&A wing4. Built recommender engines to increase the product relevance to the distributors of a CPG company for effective trade schemesTechnologies used: R, Python, SQL, Tableau, SAS, AWS, GCP, Excel Show less 1. Identified customer segments based on behavioural attributes extracted from transaction data for a retailer; developed pipelines and setup a process to send hyper-personalized ad messages to the customers2. Built decision boards in Tableau to help B&M team of a retailer to make better supplier sourcing negotiations; incorporated exception reporting mechanism in the decision board3. Built TensorFlow recommender model to hyper-localize assortment selection in stores for a retailer4. Redesigned planograms of a retailer using CDTs and product and category adjacency using centrality networks5. Developed a forecasting engine to predict weekly demands at the most granular level (store-sku) for more than 1 million store-sku combinations6. Built order monitoring systems for 2 pharmaceutical clients that monitors and highlights suspicious ordersTechnologies used: Python, R, SQL, AWS Redshift, AWS Personalize, SAP ECC, Excel Show less

  • Senior Data Scientist

    Oct 2020 - Aug 2022

  • Data Scientist

    Sept 2019 - Oct 2020
• 

  MathCo

  Aug 2022 - now

  Data Science Manager