Working as a Technologist aka Technology Engineer in Cracker Tech CoEAs part of my role at Reliance, I’ve been delving into an exciting project focused on identifying and analyzing the key variables that lead to process deviations. By leveraging data-driven insights, we aim to enhance operational efficiency and minimize downtime in the cracker plant.🔍 Key Focus Areas: • Identifying patterns in process data • Pinpointing root causes of tripping events • Developing strategies to mitigate risks and optimize performanceThis work highlights the importance of a structured approach to troubleshooting and process optimization in large-scale industrial operations.

Projects completed:1. Titanic Survival Prediction : Used the Titanic dataset to build a model that predicts whether apassenger on the Titanic survived or not. This is a classic beginner project with readily available data.The dataset used for this project contains information about individual passengers, such as their age, gender, ticket class, fare, cabin, and whether or not they survived.2.Movie Rating Prediction using Python : Built a model that predicts the rating of a movie based on features like genre, director, and actors.The goal is to analyze historical movie data and develop a model that accurately estimates the rating given to a movie by users or critics. This project provides insights into the factors that influence movie ratings and allows to build a model that can estimate the ratings of movies accurately.3. Credit Card Fraud Detection : Built a machine learning model to identify fraudulent credit card transactions. Preprocessed and normalized the transaction data, handled class imbalance issues,and splitted the dataset into training and testing sets. Trained a classification algorithm, such as logistic regression or random forests, to classify transactions as fraudulent or genuine.Evaluated the model's performance using metrics like precision, recall, and F1- score, and consider techniques like oversampling or undersampling for improving results.

🌟 Excited to share a significant milestone in my professional journey! 🌟I am thrilled to announce that I have successfully completed a two-month Machine Learning Internship at Feynn Labs Services, from February 23rd, 2024, to April 24th, 2024. This internship was a transformative experience that allowed me to delve deeply into the field of machine learning and apply my knowledge to real-world projects.During my time at Feynn Labs, I had the opportunity to work on the following impactful projects:1. AI Product/Service Prototyping: Developing prototypes for innovative AI-driven products and services, leveraging cutting-edge technologies to solve complex problems.2. Market Segmentation using Machine Learning and Data Analysis: Utilizing machine learning algorithms and data analysis techniques to identify and segment target markets, providing valuable insights for strategic decision-making.3. AI Product/Service Business and Financial Modelling: Creating robust business and financial models for AI products and services, ensuring their feasibility and sustainability in the market.I want to extend my heartfelt gratitude to the entire team at Feynn Labs Services for their support and guidance throughout this internship. Special thanks to my mentors who provided invaluable insights and helped me grow both personally and professionally.Looking forward to applying the skills and knowledge I have gained in future endeavors and continuing my journey in the exciting field of machine learning.

I worked as a Teaching Assistant under Prof. N.C. Pradhan•Co-ordinated with a team of 20 members for smooth managemet and conduction of Heat Transfer & Mass Transfer Lab consisting of 100+ undergradute students•Collborated together for evaluating answer sheets and clearing doubts of undergraduate students

1. Involvement in various tasks and responsibilities2. Hands-on experience in 2 NLP projects - Customer Complaint Analysis - News Analysis3. Contribution to real-world NLP applications

Dynamic skill set honed through a four-month internship, adept at translating complex data into strategic insights, implemented 10+ PoCs and 2 client driven endeavours.

During my 2-month industrial training at IFFCO as an M.Tech. (Chemical) student, I immersed myself in real-world applications of my academic knowledge. Collaborating with industry experts, I gained hands-on experience in optimizing chemical processes and learned invaluable insights into the dynamic field of industrial chemistry. This stint at IFFCO not only enriched my technical skills but also deepened my understanding of the practical nuances within the chemical engineering domain.

During my 3-month tenure as a Trainee at Macleods Pharmaceuticals, I delved into the pharmaceutical industry, gaining hands-on experience in drug manufacturing and quality control. The role enriched my understanding of regulatory compliance and pharmaceutical processes, contributing to my professional growth.

During my 2-month stint as a Trainee at IOCL, I immersed myself in the intricacies of the oil and gas industry, gaining practical insights into refinery operations and energy production. The experience honed my skills in process optimization and exposed me to the dynamic world of energy management.

Achieved monthly revenue targets by procuring 15 new clients, showcasing both responsibility and accountability