Akash Shinde

• Worked on CPG- Trade Promotion Optimization for MNC to manage their promotion spending on Retailer level (i.e., $1 Billion) and increasing sales.
  Analyzed data and created optimization code (PyoMo)which ran on output of Regression model (Bayesian) and generate promotional plan. Achieved 3.78% save in promotion spending with 12% increase in sales.
• Worked on Multi Touch Attribution for MNC to track user behavior on different ads channel before converging and to optimize spending done on ads partner to increase converging rate.
  Analyzing data to get insights and preprocessing it. Created optimization code for spending calculation and get data of clicks and conversion rate with some other imp information.

HUMAN EMOTION DETECTION using OPENCV

• Objective - Project based on python in sphere of AI used to detect Live Emotion of Human Face.
• Platform used - JUPYTER NOTEBOOK. Library used - CNN, TensorFlow, Keras ,CV2,PIL , etc.
• Working - Human emotion detection can analyze human's Face emotion (92% accuracy ) which can be used by security personal to detect suspicious person or by company to examine their employee.