- Contributed to the development of 'Implicit Marginalia' an automated annotation tool that allows users to explore other bodies of literature where a particular text has been mentioned.- Implemented text prioritization through generative AI, leveraging collaborative efforts to develop innovative solutions and enhance the user experience.- Utilized frameworks like Django and Flask to create robust and scalable backend systems, fostering collaboration and knowledge sharing within the team.- Seamlessly integrated NLP Libraries, such as NLTK and spaCy, into our backend infrastructure, facilitating efficient text processing and analysis capabilities.- Championed data acquisition from BING coupled with meticulous validation, cleaning, and processing procedures to ensure seamless frontend consumption.- Utilized Python's robust API capabilities for streamlined data retrieval, seamlessly processing JSON-formatted data. Leveraged NLTK Python libraries to enrich data processing capabilities through advanced NLP techniques.- Conducted thorough testing and debugging of APIs to ensure high performance, reliability, and security, reducing system downtime by 15%.-Successfully connected our systems to a MongoDB database, enabling robust and scalable data storage solutions. This integration ensures that our applications can handle increasing volumes of data efficiently, contributing to the overall performance and reliability of our systems.- Developed an API using FastAPI that facilitates seamless user registration. This API plays a crucial role in our user onboarding process, ensuring that new users can be registered effortlessly. - Developed a second API dedicated to user authentication. This API is designed to ensure that only authorized users can access our system, enhancing security and protecting sensitive data. - Designed a comprehensive Sequence Diagram to illustrate the workflows between the Frontend and Backend systems.

Research: Ai Integration in EducationExplored the current landscape of AI in the workplace and identified key challenges and opportunities for preparing MBA/MSBA and undergraduate students for the AI revolution, focusing on avoiding displacement and enhancing professional growth. Suggested integrating AI seamlessly into coursework, enhancing students' ability to leverage AI effectively for various tasks.- Proposed a project where students generate synthetic data using techniques like GANs and VAEs, train predictive models, and evaluate their performance. This assignment provides practical experience in using synthetic data to augment predictive analytics models.- Proposed incorporating a module on AI ethics, covering topics like temporal bias, feature selection bias, confirmation bias, and adversarial training. This module aims to prepare students for careers in AI ethics management and data compliance. - Proposed an assignment where students apply machine learning techniques to renewable energy data, develop predictive models, and use anomaly detection algorithms. This hands-on project teaches students the potential of AI in optimizing energy production and consumption.- Proposed an assignment for students to use AI and machine learning algorithms for anomaly detection in social media data. The project involves text and image analysis, employing algorithms like One-Class SVM and Variational Autoencoders, enhancing students' skills in detecting irregular patterns.- Suggested an assignment to train students in effective prompt engineering. Students develop hypothetical prompt libraries for specific business problems and compare their results, emphasizing strategic and critical thinking in AI tool usage.- Proposed collaborative projects where students from different disciplines work together on AI initiatives, fostering practical experience in cross-departmental collaboration and innovation in AI integration within various industries.

- Collaborated with club leadership to plan, market, and execute high-impact events, including guest speaker sessions, workshops, and career panels tailored to the interests of business analytics students.- Strategized and implemented membership outreach initiatives that drove a substantial increase in new members, contributing to the growth of an engaged and active community.- Managed RDAC's digital presence by creating and curating engaging content across social media platforms, ensuring consistent branding and messaging.- Monitored and analyzed campaign performance metrics to refine strategies, optimize engagement, and maximize the club's impact.- Built relationships with alumni and industry professionals to secure guest speakers and sponsorships, enriching the learning experience for members.

Award-winning NYC Digital Marketing Agency.- Developed personalized marketing dashboards using advanced tools like Tableau and Looker Studio, leveraging Google Ads and Meta Ads data, allowing for immediate access to campaign performance metrics and facilitating swift adaptations to marketing tactics in response to real-time insights.- Utilized data segmentation techniques and in-depth analysis of customer behavior to pinpoint untapped growth potential, leading to the development of highly focused marketing initiatives that yielded an impressive 15% enhancement in customer acquisition and retention rates.- Fostered close collaboration with cross-functional teams to seamlessly integrate data-driven suggestions, resulting in the efficient allocation of advertising budgets and the accomplishment of a noteworthy 10% reduction in the cost per acquisition (CPA) metric for key clientele. This collaborative effort contributed significantly to the overall success of the marketing strategy.- Performed thorough audits and analysis of client accounts using data analysis tools including Python and Google Analytics, offering valuable suggestions for enhancing e-commerce initiatives, refining product strategies, and optimizing advertising efforts.

- Conducted an analysis of TV advertisements to identify and categorize the content elements that contribute to their effectiveness in driving KPIs. I explored patterns and trends within these content elements and validated assumptions through analytics techniques. By combining additional attributes such as TV property, program, and time of air, I applied machine learning tools to predict the effectiveness of different TV advertisement versions.

- I had the opportunity to develop and implement successful digital marketing campaigns that increased our brand's online visibility and social media following. - Using various analytics tools and techniques, I analyzed customer behavior and engagement on our website and social media platforms to generate insights that were used to optimize our digital marketing strategies. - Additionally, I managed our social media accounts by generating original content, providing search engine optimization tactics, and collaborating with third-party vendors to expand our brand's customer segment. - I also contributed to the development of digital marketing campaigns used on our website and social media accounts, and was responsible for generating monthly reports on website traffic, lead generation, and social media engagement. Through this role, I gained a deep understanding of digital marketing and analytics, and how these disciplines can be leveraged to drive business growth and success.

- Assisted in the preparation of financial statements and reports, reconciled bank statements, and helped to ensure compliance with accounting standards and regulations. - Supported budgeting and forecasting efforts, and assisted in financial analysis and decision-making. In addition, I had the opportunity to work with accounting software and collaborate closely with other members of the finance team. I improved my attention to detail, communication skills, and ability to work in a team. - Developed expertise in tax preparation, conducted in-depth financial analysis, and managed budgeting processes to optimize financial performance and ensure compliance with regulatory standards.

- Effectively analyzed large datasets, utilizing Google Analytics and Tableau to uncover insights driving user engagement and campaign strategies. Through interactive Tableau dashboards, I communicated key performance indicators (KPIs) that facilitated agile decision-making and led impactful presentations that transformed complex data into actionable marketing insights. - Implemented SEO techniques that contributed to a significant increase in organic website traffic and successfully crafted engaging email marketing campaigns resulting in heightened customer engagement. This experience enhanced my analytical skills, solidified my grasp of digital marketing, and refined my ability to communicate data-driven findings to cross-functional teams.

- Collaborated with sales representatives, leveraging Tableau and SQL to amplify lead generation, resulting in successful deal closures and bolstered customer service. - Managed and enhanced the e-commerce platform for new product lines, utilizing Tableau and SQL, amplified our online presence, showcasing my meticulous attention to detail and adept task management. - Skillfully crafted concise sales reports using Tableau to inform future growth strategies and unearth new customer segments, harnessing SQL to extract crucial insights.

- Worked alongside seasoned professionals in the industry, gaining invaluable hands-on experience and exposure to real-world consulting projects. - Actively contributed to client engagements, collaborating with cross-functional teams to address complex business challenges. - Conducted comprehensive research, collected and analyzed data, and identified key insights to support decision-making processes.