Applied Scientist Intern

• Aug 2023 - Present

📌 Researched and analyzed the market potential for integrating AWS with GenAI Applications, leading to the identification of a $500M market opportunity for Quivr App in AWS. 📌 Collaborated with cross-functional teams to develop and execute a comprehensive marketing strategy, resulting in a 30% increase in user adoption of the Quivr App on AWS. 📌 Authored and published a series of scientific blog posts on Medium highlighting the benefits and practical applications of integrating AWS with other models, generating over 10,000 views and increasing brand visibility by 20%. Show less

Freelance Trainer

• Oct 2023 - Present

Data Science Analyst | Technology Analyst I - Intern

• Feb 2023 - Jul 2023

📌 Appointed as one of the Data Analysts to work on the development of the Hybrid Recommendation model that takes both users and their roles into account. 📌 Provided an appropriate Machine Learning Model to classify users and created user tags that accurately identified users with a 78% accuracy rate. 📌 Proposed the new Hybrid Recommendation model that reduced the workload of directors by over 50% by automating the process of sorting through requests and assigning them to the appropriate users based on their roles. 📌 Collaborated with other team members to develop a solution that not only met the needs of the organization but also delivered real results in terms of increased accuracy and reduced workload. Proposed and implemented a new model that reduced the workload of directors and enabled them to focus on more important tasks. 📌 Gained valuable experience in the development of data-driven solutions and the use of Machine Learning in solving complex business problems. Show less

MIS Project Document Handler - Larsen and Toubro Project

• Jun 2022 - Sep 2022

📌 I led the development of the software requirements specification (SRS) for a complex project that involved multiple MSI modules in my previous role. As part of that effort, I created five UML design diagrams to help visualize and communicate the system architecture and functionality to stakeholders.📌 Through this work, I was able to streamline inter-module communication, resulting in a 20% reduction in development time and a more efficient and collaborative workflow among team members.📌 I was the lead developer tasked with overseeing the development of a complex software system comprising several MSI modules. As part of my role, I created UML design diagrams to help illustrate the system architecture and functionality and spearheaded the development of the SRS to ensure seamless communication between modules and efficient project execution.📌 Leveraging my expertise in UML design and SRS development, I successfully guided a team of developers through the creation of a software system comprising multiple MSI modules, resulting in a more streamlined and efficient workflow, improved communication and collaboration among team members, and a 20% reduction in overall development time. Show less

Machine Learning Research Internship

• Apr 2022 - May 2022

📌 Collaborated with cross-functional teams to design and launch a new AI-powered product, resulting in a 15% increase in revenue for the company.📌 Streamlined data processing pipeline, reducing processing time by 30% and increasing the efficiency of the team’s workflow.📌 Devised and executed the AI strategy for the MSI project, with a 70% project contribution, resulting in asuccessful takeover by Stigmata Techno Solutions.📌 Developed a comprehensive AWS False Key detection system utilizing Logistic Regression and Natural Language Toolkit LSTM models to achieve accuracy rates of 75% and prototype accuracy rates of up to 95%, improving security measures by flagging false keys with an accuracy rate of 91%. Show less

Data Science Research Internship

• Feb 2022 - May 2022

📌 Collaborated with cross-functional teams to integrate the object detection model into an end-to-end workflow, resulting in a significant reduction in manual effort and cost savings of 50K per year. 📌 Automated the data pre-processing pipeline to handle a large number of satellite images and reduced processing time by 60%, enabling faster model iteration cycles. 📌 Enhanced the performance of the image detection algorithm by implementing a new methodology using Convolutional Neural Networks with RPN, resulting in a 40% increase in accuracy for identifying buildings and water bodies. 📌 Managed a team of 5 interns, overseeing their daily tasks and providing guidance on complex machine learning algorithms, resulting in a 20% decrease in error rates. 📌 Developed and executed a rigorous training program for the intern team, resulting in a 30% increase in coding efficiency and accuracy. Show less