Resume

Professional Summary

As an aspiring Product Manager with a strong background in Software Engineering, I bring a unique blend of technical expertise, analytical skills, and emotional intelligence to the table. I am passionate about innovation and its potential to drive growth and success in the business world.

My experience in collaborating with cross-functional teams and providing technical support has taught me the importance of building trust and creating a sense of shared ownership among team members. I am able to identify and manage emotions, not only within myself but also in others, which enables me to navigate conflicts and challenges in a constructive and positive way.

I am also committed to continuous learning and personal growth, recognizing that emotional intelligence is a skill that can always be improved. Through my coursework and professional experience, I have learned to leverage all my skills to build strong relationships with clients and stakeholders, deliver effective presentations, and drive successful outcomes.

Ultimately, my goal as a product manager is to not only drive growth and innovation, but also to foster a collaborative, positive, and supportive environment where team members can thrive and succeed. With my technical expertise, business acumen, and emotional intelligence, I am confident that I have the tools and mindset necessary to excel in this role and make a meaningful impact.

Download Full Resume

Skills

A/B testing Balsamiq Customer Development Product Development Lean methodologies Python SDLC Agile methodologies SQL JIRA Java WordPress C/C++ Project Professional Infor CRM Product Strategy
Product Lifecycle Management Product Roadmap User Persona

Work Experience

Jun 23 - Present

Product Management, OneRail | Intern

Priority Framework and Efficiency Gains: I spearheaded the creation of a prioritization framework, which not only optimized partner onboarding but also drastically reduced the onboarding time by a notable 10%. This shift had a substantial impact on the company's ability to onboard new partners swiftly, enhancing the overall operational efficiency.
Streamlining Integrations: By collaborating closely with our engineering team, I was able to identify critical gaps within the integration processes and project API documentation. These insights led to a remarkable 25% monthly reduction in integration issues, substantially improving the overall deployment process.
Product Roadmap and Innovation: In a bold move, I formulated a comprehensive 12-month product roadmap aimed at integrating customers' OneRail accounts with third-party financial management software. This pioneering approach made our platform the first among competitors to offer this feature, further solidifying our market position.
Technical Leadership: I took charge of the technical backlog, skillfully translating more than 50 complex requirements into actionable product features. This enabled the smooth execution of agile development sprints, ensuring that our product remained agile and responsive to market needs.

Overall, during my tenure as a Product Intern at a B2B logistics-as-a-service platform specializing in last-mile delivery solutions for consumer goods companies, I was tasked with a pivotal role in reshaping the company's product strategy and integration processes. Here, I not only excelled but also delivered tangible results that underscore my contributions to the organization.

Sep 22 - Dec 22

Product Manager, UFacilitate | Student

Product development and customer acquisition initiatives: Responsible for leading and directing product development projects that aligned with the company's goals and objectives. I used a customer-centric approach to drive customer acquisition through effective product development and marketing strategies.
Market research and data analysis: To make informed decisions, I conducted market research and data analysis to identify market trends, customer preferences, and competitor activities. I used this information to inform my product development and marketing strategies.
Leading a team: Managed a team of five individuals and led them through the entire product development life cycle, from ideation to GTM launch. This required excellent project management and leadership skills.
Strategic roadmap for product development: Created a 3-month strategic roadmap for product development based on my research and analysis. This roadmap ensured that the team met established market needs and helped to identify a new target segment for a $300K project.
Customer-centric marketing strategy: Developed a marketing strategy that was centered around customer needs and preferences. I used insights from market research, competitor analysis, and customer feedback to create a differentiated and highly competitive offering that appealed to target customers and drove acquisition success.

Overall, my experience as a Product Manager showcased my ability to lead successful product and marketing initiatives that delivered tangible results for the organization. My skills in customer development strategies, product roadmaps, and competitor evaluation prepare me for future product management roles.

Sep 22 - Dec 22

Product Manager, Allay Therapeutics | Student

Conducting primary research: Led my team in conducting primary research through surveys with over 50+ anaesthesiologists, which helped us gain valuable insights into the effectiveness of the client's product plan.
Data Analysis: Analyzed the data that the team gathered to make recommendations for improvements to the client's product plan. We identified key considerations for competitors and unmet needs in the market, which I then presented to all Allay employees.
Market and competitive analysis: Successfully led a team of 5 in conducting market and competitive analysis for a single project. Through this analysis, we identified untapped clinical needs and made product recommendations that led to a redesign of the product strategy, resulting in improved product visibility by approximately 30%.
Preparing a comprehensive report: Prepared a comprehensive report on the product specifications and value chain analysis, which played a crucial role in the successful release of the product.

Overall, through this project, I demonstrated my strong analytical skills, team leadership abilities, and commitment to improving customer satisfaction and growing the business. I was able to make strategic recommendations that led to significant improvements in the client's product plan, which in turn helped the business to succeed.

Jan 21 - Jul 22

Software Engineer, Oracle Cerner | Full-Time

Designing and implementing software solutions: I have designed and implemented software solutions that are both secure and scalable. These solutions have helped to improve patient outcomes and drive efficiencies in care delivery.
Technical Enhancements: I have created EHR systems that allow clinicians to access patient data in real time, resulting in informed treatment decisions and improved patient outcomes.
Developing data analytics tools: I have developed innovative data analytics tools to process and analyze 1000+ clinical datasets, leading to valuable insights into patient populations and informed decision-making.
Collaborations: I have worked closely with cross-functional teams to design user-friendly and efficient software solutions that meet the specific needs of the healthcare environment while ensuring compliance with industry regulations such as HIPAA.
Architectural pipeline and JIRA operations: I have streamlined the architectural pipeline and managed JIRA operations for healthcare SaaS products, developing user stories and proposing key product changes, collaborating with internal stakeholders, and engineering security measures to preserve patient privacy.

Overall, I have been recognized for my technical expertise and ability to deliver impactful software solutions. Through my work as a software engineer in the healthcare industry, I have demonstrated my commitment to improving patient outcomes, driving efficiencies in care delivery, and ensuring compliance with industry regulations.

Education

Aug 2022 - Expected Graduation: Dec 2023

Duke University

CGPA: 3.90

Relevant Courses: Product Management, Marketing, Design Thinking, Competitive Strategies, Designing Customer Experience, Negotiations, New Venture Development, Design Health, IP LAW

Diversity & Cultural Club (Cabinet Member): I am dedicated to promoting diversity, inclusivity, and cultural awareness within my community. I collaborate with other members to plan and organize events, workshops, and programs that celebrate different cultures, raise awareness about important social issues, and foster a sense of belonging among all members.

Part-Time at Duke Recreational Center: I am responsible for providing excellent customer service and support to members while they engage in recreational activities. My duties include assisting with facility operations, overseeing equipment maintenance, and ensuring the safety of all patrons. I am passionate about promoting healthy lifestyles and creating a positive and welcoming environment for everyone who visits the center.

Graduated: May 2021

SRM Institute of Science and Technology

Grade: 9.06/10

Activities and societies: Member of Drama Society, Basketball Team, Music Club

Publication:

Relevant Courses: Data Analytics, DBMS, Data Visualization, Data Structure and algorithm, Data Science, Computer Networks, Operating Systems

Information Technology Students’ Association (Event Organizer): I successfully planned and executed a variety of events, including guest speaker presentations, workshops, Hackathons, and networking opportunities. These events provided valuable learning experiences for members, helped build community within the group, and contributed to their professional development.

Non-Profit Organisation, Initiating Fusion (Vice President): As an event organizer for the non-profit organization "Initiating Fusion", my role involved planning and executing successful events that provided valuable learning experiences for members, helped build community within the group, and contributed to their professional development. This included coordinating with vendors, volunteers, and stakeholders, managing budgets, and ensuring that events run smoothly.

Prospects of Pose Estimation as an Input in Gaming

Projects

PRODUCT DEVELOPMENT: STARTUP, APPLICATION ALLY

In the ongoing team project, we are focused on building a data-driven product to improve the student recruitment journey. We started by conducting 20+ exploratory interviews with students, educators, and administrators to map out their pain points and identify potential business opportunities. We also performed market sizing to understand the demand and competition in this space.

Using this data, we then designed and created a landing page to validate the need-based hypothesis for our product. The landing page generated a 60% demand for the MVP, which is a promising indication of the product's potential success.

Moving forward, we plan to use this information to continue iterating and refining our product, ensuring it meets the needs of our target audience. We will use data-driven insights to guide our decision-making and ensure that we build a product that not only addresses pain points but also offers unique value to our users.

PRODUCT INNOVATION: DUKE HEALTH DESIGN (PATENT)

As the business team lead for a health design project aimed at innovating the halo brace model, I employed a variety of strategies to achieve our objectives. First, I along with my team conducted thorough solution landscaping to identify potential areas of improvement and develop new product concepts. Then, I led a team in conducting rigorous testing of these concepts via killer experiments, using metrics such as usability, effectiveness, and user satisfaction to measure success.

Through our efforts, we achieved an 94% success rate in identifying effective solutions for improving the halo brace model. This ongoing project has involved a significant amount of collaboration with stakeholders such as clinicians, researchers, and product designers, as well as careful attention to regulatory requirements and industry best practices. By continuing to refine our approach and iterate on our findings, we aim to create a product that will significantly improve patient outcomes and quality of life.

MACHINE LEARNING: HOUSE PRICE PREDICTION

In this project, I worked individually to create an effective price prediction model for the real estate industry. To achieve this, I started by designing a user flowchart to understand the user journey and determine the key factors that would impact house prices. I then used data exploration and transformation techniques to clean and prepare the data for analysis.

To build the predictive model, I used a variety of visual analytics tools, including scatterplots, histograms, and heat maps, to identify patterns and relationships in the data. I also utilized machine learning algorithms, such as linear regression and decision trees, to predict the house price based on key features such as area, bath, location, bedrooms, and nearby amenities.

Through this process, I was able to achieve an accuracy rate of 92%, which was a significant improvement over existing models. This model provided valuable insights into pricing strategies and helped my father's construction company to make data-driven decisions to optimize revenue and improve customer satisfaction. Overall, this project was a great success and demonstrated my ability to use data analysis and machine learning techniques to solve complex business problems.

BIG DATA AND ANALYTICS: SENTIMENT ANALYSIS

As part of my project work, I was tasked with implementing sentiment analysis of product reviews to identify the sentiment of customers towards the products. Using natural language processing techniques and machine learning algorithms, I developed a sentiment analysis model that could accurately classify product reviews as positive, negative, or neutral. The model achieved an impressive accuracy rate of 80%, which exceeded the initial target of 70%.

The insights generated from the sentiment analysis were valuable in identifying unmet product needs and improving consumer satisfaction. By analyzing the positive and negative sentiments of customers towards the products, we were able to identify specific areas where the product could be improved, such as product features, quality, and customer support. The insights also helped us understand the specific needs of our customers and improve our marketing strategy.

Overall, the sentiment analysis project was a great success, and the insights generated from the analysis were used to improve the product and drive business growth. I was proud to have played a key role in the project, and I gained valuable experience in natural language processing, machine learning, and data analysis.