Revolutionizing Procurement and Supply Chain with AI 🤖🌎

I develop machine intelligence and build services using a wide range of techniques under the data science spectrum and software development at scale 🧭📊

Tech stack 🗃️: Python, NLP, ML/AI, AWS services (Lambda, S3, EC2, Batch, Fargate, Step function, Sagemaker), MongoDB, Metabase, Elasticsearch...➙ Developed pipelines for data collection, scrubbing, transforming, and productionize multi-classification models which outperformed existing keyword-based approaches in categorizing the text into different supply-chain threats➙ Restructured algorithms that scan millions of real-time data points to segregate them according to business relevancy, improving their time and accuracy by around 30%➙ Designed and built an end-to-end microservice which is a fusion of data engineering and data analysis, which processes the data to provide the most impactful risks to the clients that might hamper their supply processes ➙ Build multiple dashboards unlocking deep insights from highly unstructured data helping sales, marketing, and business in data-driven decisions➙ Performed ETL for monitoring data quality and tracking KPIs

➙ Worked on the problem statement for building an Intelligent Indian Sign Language Recognition System.➙ Built a high-quality custom dataset with more than 10,000 labeled images for training models.➙ Conducted literature review to explore state-of-the-art techniques in image processing, machine learning, and computer vision for sign language recognition.➙ Experimented with statistical ML techniques such as Support Vector Machines (SVMs) and Random Forests (RFs), and Neural Network based approaches such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to recognize hand gestures effectively.➙ Achieved an accuracy of over 90% on the test dataset using the best-performing CNN and RNN models.

➙ Developed a problem statement for generating a Scene Graph for Satellite Images.➙ Built a custom dataset to employ object detection algorithms for the Scene Graph generation.➙ Implemented AI models for detecting objects from an aerial view with exceptional performance.➙ Collaborated with a team of researchers to explore and develop novel approaches for the Scene Graph generation task.➙ Conducted experiments and evaluated the performance of various models to identify the most effective approach.

The three pillars of the IEEE SIESGST Smart Village Project are Electrification, Education, and Enterprise Development. The main objective is to provide the village with a clean energy solution, fetch GSM Network, implement a smart vermicompost setup, and develop a cloud-based solar monitoring system.➙ Lead the team to jumpstart the initial phases of the project.➙ Incorporated and designed simple and scalable solutions for software and hardware blockers.

Under my leadership, we achieved the following: ➙ Helped over 10,000 students upskill through various events and initiatives. ➙ Conducted over 100 successful events.➙ Accumulated over 50 renowned awards and recognitions. Notable achievements: ➙ Received the IEEE Exemplary Student Branch Award R10 (Asia-Pacific) for three consecutive years (2020, 2021, and 2022).➙ Won the Darrel Chong Award in 2021.➙ Secured funding worth thousands of dollars for various initiatives.

➙ Led the IEEEXtreme Programming Competition awareness campaign and significantly increased participation.➙ Fostered connections and global networking experiences with peer IEEE members, resulting in increased member engagement.➙ Provided support and guidance to students through individual meetings, workshops, and training programs.➙ Hosted successful IEEEXtreme seminars and pre-workshops, contributing to the success of the programming competition.➙ Developed leadership, organizational, and managerial skills through event management and team coordination.

➙ Contributed to various open-source projects, leveraging the expertise of experienced mentors.➙ Developed applications using cutting-edge tools and technologies such as Machine Learning, Image Processing, Deep Learning, Flask, building responsive web apps, Bootstrap, and end-to-end model deployment.➙ Educated peers on how to get started with open-source development and efficiently use Git and Github.➙ Assisted in building a more diverse and inclusive community of open-source contributors.➙ Honed communication, collaboration, and time-management skills while working remotely in a team-based environment.

➙ Explored the Oracle Database Architecture, gaining insight into the fundamental concepts of database management.➙ Learned about Maintenance and Recovery Management, developing an understanding of how to maintain database performance and recover data in the event of failures.➙ Studied the Stages of SQL Processing, including parsing, optimization, and execution, to gain a deeper understanding of how queries are processed.➙ Utilized SQL to generate reports and gain practical experience with database management tools.

➙ Promoted and raised awareness about the Internet of Things (IoT) and Machine Learning (ML) training.➙ Organized and conducted workshops and webinars to educate and train students on IoT and ML.➙ Successfully engaged with the university community to increase participation in IoT and ML programs.