Results-driven B.Tech. (Computer Science Engineering) professional with six months of expertise in Salesforce administration and development. Demonstrated hands-on experience encompasses comprehensive knowledge of Salesforce modules, configuration, setup, and effective data management practices. Proficient in the Salesforce Admin Super Set, displaying mastery in Fundamentals, Organizational Setup, Relationships, Sales Cloud, Service Cloud, Process Automation, Flow, Chatter, Security, Reports & Dashboards, and Data Management.Completed rigorous Salesforce Trailhead modules, earning prestigious Super Badges in both Apex Specialist and Process Automation Specialist, underscoring advanced proficiency in these critical areas. Adept in project management, problem-solving, and self-motivation, consistently exceeding expectations and delivering exceptional results.Possesses a robust technical skill set, including but not limited to C++, Python, JavaScript, HTML+CSS, Python Libraries, VScode, Git, GitHub, MongoDB, SQL, and RDBMS. Acknowledged for being a quick learner and an excellent time manager, showcasing exceptional analytical and problem-solving abilities.Key Projects:1. Skin Disease Recommendation System (May 2023): Spearheaded a research project to develop an NLP-based drug recommendation system for skin conditions. Integrated Machine Learning and a comprehensive medical knowledge database, ensuring heightened recommendation accuracy over time. Maintained strict adherence to data security and privacy compliance. Technologies utilized: Python, NLP, SVM, LSTM, BERT.2. Employee Travel Approval Application (March 2023): Orchestrated the development of a Salesforce-powered Corporate Travel Application, streamlining the process of booking, itinerary management, and expense tracking. Implemented skills such as custom object creation, role assignments, and validation rules. Seamlessly integrated with Salesforce CRM for efficient travel management and cost optimization. Technologies employed: Salesforce, Reports, and Dashboards.3. Smart Parking and Bill Generation System (December 2021): Designed and implemented a Smart Parking System using Python and OpenCV for accurate calculation of parking duration and associated fares. Leveraged MongoDB for efficient database management and Pytesseract for Optical Character Recognition (OCR). Technologies involved: Python, Machine Learning, MongoDB.Recognized for a keen ability to quickly grasp new concepts and exceptional time management skills.