NIHARIKA VIKRAM
+1-716-***-**** Buffalo, NY
ad21n8@r.postjobfree.com Linkedin
EDUCATION
MS, Computer Science Engineering, University at Buffalo, The State University of New York Dec 2023 Relevant Coursework: Algorithm and Analysis, Data Models and Query Language, Data Intensive Computing. BS, Computer Science Engineering, Vignan University Aug 2016 - Sep 2020 Relevant Coursework: Data Structures & Algorithm, Statistics, Database Management Systems. SKILLS
Technical Skills Python, Java, Javascript, SQL, R, MATLAB, HTML, CSS. Tools & Frameworks React, NodeJS, MySQL, AWS, MongoDB, Git, Power BI, Kubernetes, Docker. INTERNSHIP EXPERIENCE
Software Engineer - Stock Price Data Visualization Dec 2021 Company Name JPMorgan Chase & Co.
Job Description
• Led the development of a stock price data interface Leveraging Python, Git, and Agile methodologies to seamlessly integrate financial data feeds and ensure real-time accuracy.
• Developed and optimized responsive web apps with React, Typescript, and Webpack, ensuring fast load times and efficient data rendering.
• Designed and implemented interactive charts using the Perspective codebase, integrating with RESTful APIs for dynamic data updates.
• Volunteered to open-source projects including Perspective on GitHub, collaborating with global developers and participating in code reviews.
PROJECTS
Amazon Clone Web Application {ReactJS, HTML, CSS, Redux, Firebase}
• Engineered a full-stack e-commerce platform Utilizing React.js, Redux, and Firebase. Performed MVC architecture, user authentication, real-time database interactions with Firestore, and image storage via Firebase Storage.
• Incorporated Stripe API for secure payment processing, executed error handling, and deployed application on Firebase Hosting, ensuring CDN optimization for scalability and global accessibility. Topic-Based Empathetic Chatbot {Python, GPT-2, NLP }
• Led the baseline architecture and development of a chatbot with Python, GPT-2, and TensorFlow. Spearheaded regular communication sessions with stakeholders to gather requirements, ensuring alignment with project goals. Presented technical solutions, demonstrating clear communication and leadership.
• Championed the use of fine-tuned GPT-2 models, tokenization, and other NLP techniques, achieving contextually relevant and empathetic responses.
• Fostered a collaborative environment, working closely with a cross-functional team. Guided the team in training the bot on diverse datasets, including open-domain chats and empathetic discussions, using supervised learning. Demonstrated teamwork and leadership as we collectively evaluated and improved performance metrics such as BERT, BLEU, and BLEURT scores.
CERTIFICATIONS
• Google Data Analytics Certificate