During my internship, I contributed to several impactful POC projects, gaining hands-on experience with AI/ML, full-stack development, and various advanced tools. Major projects include:-> Image Search Engine: Built an image similarity search system using vector embeddings.-> Emotional Chatbot AI: Developed a chatbot to simulate emotional support for users.-> LAWBOT (Gemini-Based): Created a legal Q&A system powered by Google’s LLM.-> Ask MyPDF: Enabled querying of PDF documents using vector databases.-> Additional Experience: Hands-on development of MERN stack applications.

Experienced Project Trainee specializing in Smart Energy Management with a focus on integrating IoT, Data Science, and Machine Learning for Solar Energy Generation predictions affected by weather features. Successfully led the initiative to predict Net Energy Export based on given input features, demonstrating expertise in exploratory data analysis (EDA) and machine learning (ML).Key Achievements:-> Data Integration and Processing: Orchestrated the collection of data from sensors and local Flask server and NodeRed, implementing robust data preprocessing, feature scaling, and engineering techniques to ensure precision in energy predictions.-> Real-time Data Storage: Implemented the storage of real-time data in InfluxDB and AWS S3 bucket, ensuring seamless access to historical information for ongoing analysis and model improvement.-> Visualization and Monitoring: Utilized Grafana to create interactive dashboards, visually representing extracted features and real-time weather features for comprehensive monitoring and analysis.-> Machine Learning Model Implementation: Applied a Linear Regression model to the extracted input features and target feature, achieving an impressive accuracy of 92% on the test data. Employed R2 Score for model evaluation, attaining a commendable result of 0.92.Long-Term Goals:-> Forecasting for Financial Analysis: Aiming to contribute to energy export-import production forecasting for in-depth financial analysis in the energy trading sector.-> Optimization for Revenue Generation: Committed to increasing revenue generation by implementing strategies to optimize energy export, leveraging insights gained from data-driven models.Seeking opportunities to further apply and expand my skills in the dynamic field of Smart Energy Management. Open to collaborations and networking with professionals passionate about sustainable and data-driven solutions.

Explored Data Analytics & Services on AWS platform in Cohort-5 Internship under AICTE

Data Science Intern | Qmansys Infosolutions, GurugramAs a Data Science Intern at Qmansys Infosolutions, Gurugram, I spearheaded the development of a cutting-edge project focused on PAN Card Tampering Detection. Leveraging advanced technologies and utilizing libraries like OpenCV, I engineered a robust system capable of identifying tampered PAN Cards with precision.Key Contributions:-> Innovative Solution Development: * Conceived and implemented a Pan Card tampering detection system, demonstrating a proactive approach to addressing document security challenges.-> Expertise in Computer Vision: * Utilized OpenCV libraries to harness the power of computer vision, enabling the system to analyze and identify potential tampering indicators on PAN Cards.-> Precision and Accuracy: * Engineered the system to ensure high accuracy in detecting tampered PAN Cards, contributing to enhanced document authentication and security measures.-> Collaborative Development: * Collaborated with a dynamic team of professionals to integrate data science methodologies into a real-world application, fostering an environment of innovation and knowledge sharing.-> Project Execution: * Successfully executed the entire project lifecycle, from conceptualization to implementation, showcasing effective project management and problem-solving skills.Outcome:The developed Pan Card tampering detection system stands as a testament to my commitment to leveraging data science for practical solutions. This project not only showcases my technical proficiency but also highlights my ability to address real-world challenges with creativity and precision.Excited to contribute my skills and enthusiasm for data science in future projects and collaborations. Open to networking and exploring opportunities that align with my passion for leveraging technology for impactful solutions.

Explored Machine learning and cloud foundations on AWS platform in Cohort-4 Internship under AICTE