Aditi Khare

Principal Applied AI Product Engineer [Product-Owner] & Enterprise Architect-AI Research Scientist

PepsiCo•  July 2023 - Present•  Hyderabad-India

AWS & AI Research Specialist-Principal Applied AI Product Engineer [Product-Owner] & Enterprise Architect @ PepsiCo - Developed PepsiCo's AI Search Intelligence Platform Powered by Generative AI from Scratch [POC] to Go-Live in Production Environment for PepsiCo's Global Teams as Product Users thereby Performing Comprehensive AI Research & Reading AI Research Papers & Implementation Approaches suitable for bringing the best Product out for Global teams as Product Users. My Core Role involved Focusing on Comprehensive AI Research ,Code Optimzations-Writing Structured & Dynamic Coding Practices, Designing Scalable Enterprise Architecture. Skills: Amazon Web Services (AWS) · Applied AI Research Specialist · Applied AI Enterprise Architect · Product Pricing · Code Optimzations · UI/UX Design Strategies · Quantum AI

Full Stack AI Machine Learning Product Research Engineer

Atos-Worldline•  October 2020 - June 2023•  Mumbai

Domain - Digital Payments - Merchant Acquiring & Fraud Risk Management. Data Science Tech Stack - Passionate to Develop End to End AI Products from Scratch POC to Go-Live in Production Environment. Core Competencies - AWS Specialist - AWS Sagemaker, Python, Research & Development Activities Data Visualization - Tableau, Power BI, Apache Superset, Bamboolib - Python Library with GUI. AI Tech Stack - Machine Learning - Linear & Tree Based Models, Tensorflow, PyTorch & AutoML - AutoSKLearn, AutoKears Techniques in Python & Amazon Sagemaker Canvas Services. Anomaly Detection Techniques - Random Cut Forest, Isolation Forest, Standard Deviation & Elliptic Envelope & Time Series Anomaly Detection Techniques. Explainable AI [XAI]- Permutation Importance, SHAP, LIME, DeepLIFT, DiCE, Xplique for Neural Networks & PiML - Interpretable Machine Learning. Natural Language Processing - Conversional AI - ChatBot, Knowledge Base, Sentiment Analysis, Transformers, NER Models, Web Scraping - Beautiful Soup. Computer Vision Algorithms - OpenCV, Object Character Recognition, Object & Face Recognition & Vision Transformers [Vit] Techniques. MLOPS - Drifts - Concept & Data Drifts, MLflow, Kubeflow, Docker, Kubernetes, CICD, Grafana, Apache Superset, WhyLogs, Evidently AI. Open Source Tools & Low Code/No Code Tools - Weka for AI & Machine Learning Web Framework - Flask & Django Databases - Microsoft SQL Server, Postgres SQL, Redis, MongoDB. Operating System - Linux Administrator & Windows.

Senior Data Scientist - EMEA Regional Lead

FedEx•  July 2018 - October 2019•  Mumbai

Senior Data Scientist [Advanced Analytics] - EMEA Regional Lead Domain - Logistics - Marketing & Pricing Analytics - Pricing Optimzation. Data Science & Advanced Analytics Techniques - Machine Learning R&D Activities for EMEA Countries. Business Skills - Stakeholder & Project Management.

Data Scientist

FedEx•  June 2016 - July 2018•  Mumbai

Data Scientist [Advanced Analytics] - Global Regions [ US | LAC | EMEA | CA | APAC ] Domain - Logistics - Marketing & Pricing Analytics - Pricing Optimization Data Science & Advanced Analytics Techniques - R&D Activities for Global Regions [ EMEA | US | LAC | CA | APAC ]

Data Scientist - Intern

FedEx Express•  December 2015 - June 2016•  Mumbai

Domain - Logistics - Marketing & Pricing Analytics. Data Science & Analytics for Global Regions [ EMEA | US | LAC | CA | APAC ]

Indian Institute of Management Ahmedabad

Big Data Analytics , Executive Education•  February 2019 - February 2019

Courses done - Predictive Modeling - Machine Learning Techniques - Supervised & Unsupervised Learning, Recommender Systems using Associate Rule Mining, Text & Social Network Analytics, Fundamentals of Data Visualization using Tableau.

K.J Somaiya Institute of Management Studies and Research, Mumbai

Information Technology, MCA•  June 2013 - June 2016

Courses done - Databases, Data warehouse, Data Mining, Probability & Statistics & Cloud Computing.

University of Mumbai

Information Technology, BS•  June 2010 - June 2013

Courses done - Applied Mathematics, Digital Signal Processing, Linear Algebra & Quantitative Techniques.