Sridhar Subramanian

AI/ML professional with nearly 5 years of experience, including 3.9 years as a Technology Analyst at Infosys and current role as an AI/ML Intern at John Deere. Expertise in data-driven problem-solving, automation, and optimization techniques. Pursuing M.Tech in AI & ML at Symbiosis Institute of Technology to enhance skills in advanced computing. Proven track record in machine learning and statistical analysis, leading to improved operational efficiency and revenue growth.

• Full Stack Web Development with React JS, Angular and NodeJS, 07/01/24 - 11/30/24, Udemy
• Streamlined Automation for Web & Desktop Applications with Python, 05/01/24 - 05/31/24, IEEE Education Symposium
• PL-300 certification: Microsoft Power BI Data Analyst, 09/01/23 - 11/30/23, Udemy
• Python Fundamentals for Beginners, 07/01/23 - 08/31/23, Great Learning
• Java Microsoft Certification, 02/01/19 - 03/31/19, Sun Microsoft

• Research Paper - Inventory Management, Published research paper titled 'Inventory Management System Using Reinforcement Learning: A Case Study' in IIETA Journal, demonstrating the application of deep Q-network (DQN) for optimizing retail inventory management.
• Book Chapter Publication - Nature-Inspired Optimization Algorithms, Published a peer-reviewed book chapter on nature-inspired optimization, covering genetic algorithms, particle swarm optimization, and ant colony optimization for code efficiency and ML model training.
• INSTA Award - Infosys, Awarded INSTA Award for implementing a data-driven decision-making framework, increasing client project efficiency by 20%.
• Research Paper - Hyperspectral Imaging, Published in IJSAE on 'Comparative Study of Various Algorithms on Hyperspectral Data,' evaluating ML and deep learning techniques for remote sensing and data classification.
• Paper Publication in IJSAE on Stock Market, Paper titled, 'Predicting Intraday Trend Reversals in Index Derivates Using Supervised Machine Learning Algorithms', Applied advanced ML techniques to forecast trend reversals, showcasing proficiency in financial analysis and predictive modeling.

• Placement Coordinator at a degree college for three years
• I have been an English editor in the magazine committee at the degree college for two years
• Winner of the music competition organized by Shanmukhananda, Mumbai, in 2025

• Data Science
• Cloud Computing
• Deep Learning
• Machine Learning
• Data Visualization
• Computer Vision
• Research & Development
• Natural Language Processing

• English, 80/100
• Tamil, 80/100
• Hindi, 80/100
• Marathi, 60/100

• Singing
• Chess
• Badminton
• Harikatha

• Generalized PII masking for the consumer dataset using the LLM model

=> Utilized techniques in NLP, fine-tuning LLMs (TinyLlama, LLaMA2), named entity recognition (NER), and model evaluation metrics (accuracy, BLEU, classification report) for comprehensive PII protection

• Inventory Management System Using Reinforcement Learning

=> using RL techniques like DQN for inventory optimization under traditional operations, achieving a 15% improvement in inventory forecast

• Plant Disease Classification Using GANs and Machine Vision

=> applied different models of CNN over the synthetic images generated by DCGAN with the real data to classify plant disease with an accuracy of 98%

• AGRINER: A Comprehensive Dataset for Agricultural Entity Recognition

=> AGRINER was developed as a small-scale project to perform NER on agricultural terms, achieving around 85% accuracy with a dataset containing 5,000 annotated entities

• Intraday Trend Classification using Supervised Machine Learning

=> built a supervised ML-based trend classification model, improving decision-making for over 20 stakeholders, and optimizing project efficiency

• Comparative study on hyperspectral image classification and land cover classification

=> applied deep learning (DBSCAN, K-means) for land cover exploration, achieving 97% classification accuracy, and improving data clustering 

• CVS AETNA Health - NextGen EPDB

=> led cross-functional teams to develop and deploy solutions, ensuring timely project execution 

• HSBC Client

=> learned AS400 to meet the needs of an HSBC project, showcasing my ability to quickly grasp new technologies 

• Svara - A Music Therapy App

=> created an app that works on iOS and Android using React Native

• Data Science
• Cloud Computing
• Deep Learning
• Machine Learning
• Data Visualization
• Computer Vision
• Research & Development
• Natural Language Processing

• English, 80/100
• Tamil, 80/100
• Hindi, 80/100
• Marathi, 60/100

• Singing
• Chess
• Badminton
• Harikatha