Karthika Ramesh
Analytics EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Product Manager at FreedomCare | MS, IT & Management - UT Austin | MBA, Indian Institute of Management Jammu
I’m a product enthusiast with a background in technology and business, currently pursuing my MSITM at UT Austin. Previously, I earned my MBA from Indian Institute of Management Jammu. I worked at Paytm, a fintech giant in India, where I led credit cards, driving strategy, launching new line of card, and improving customer engagement. I love solving complex problems, optimizing user experiences, and collaborating across teams to bring innovative ideas to life. Beyond work, I’m an avid learner and adventurer. I’ve completed two >15,000ft hikes (with more on the way!) and believe the best ideas often come from exploring new perspectives, whether in product or on a mountain trail. Let’s connect and chat about product, tech, or the next great adventure!
The University of Texas at Austin
Master of Science - MS, Information Technology and Management
N/A – Present
Indian Institute of Management Jammu
Master of Business Administration - MBA, Operations & Marketing
N/A – Present
Anna University Chennai
Bachelor of Engineering - BE, Computer Science
N/A – Present
FreedomCare
Product Manager
July 1, 2025 – Present
Jon Brumley Texas Venture Labs
Product Management Consultant
January 1, 2025 – May 1, 2025
Austin, Texas Metropolitan Area
Dover Fueling Solutions
Technical Project Manager
December 1, 2024 – May 1, 2025
Austin, Texas, United States
Texas McCombs School of Business
Student Ambassador
September 1, 2024 – May 1, 2025
Austin, Texas, United States
Project PL-8
Vice Head of Business
August 1, 2024 – December 1, 2024
Austin, Texas, United States
Paytm
Product Manager
July 1, 2022 – July 1, 2023
Noida, Uttar Pradesh, India · Hybrid
Teleradiology Solutions
Product Associate Intern - Operations
April 1, 2021 – June 1, 2021
Bengaluru, Karnataka, India · On-site
Wipro Limited
Software Engineer
May 1, 2018 – July 1, 2020
Kochi, Kerala, India · On-site
AI-Powered Financial Wellness & Investment Assistant
March 1, 2025 – Present
- Building an AI-powered financial wellness assistant, conducting market research, competitive analysis, and user interviews to identify unmet financial needs and optimize product-market fit. - Defining the product vision, roadmap, and MVP strategy, leading agile development to deliver personalized budgeting, smart investing, and debt management solutions for B2C users.
Revamping Onboarding for Maximum User Engagement and Retention for Digital Products
January 1, 2025 – March 1, 2025
- Working on Amazon Fresh to identify the Pain points, drop off points and maximum onboarding and User engagement and eventually retention.
Hyperlocal Product Recommendation Engine - Product-Market Fit
November 1, 2024 – December 1, 2024
Conceptualized and developed an AI-powered platform to tackle key challenges in hyperlocal shopping, including personalization gaps, inventory visibility issues, and inefficient delivery systems. * Conducted user research and competitive analysis to identify pain points, such as difficulty in finding local products and irrelevant recommendations, guiding the design of the MVP. * Designed the product lifecycle by creating user personas, defining features with the RICE framework, and iterating based on feedback to improve usability and adoption. * Integrated real-time inventory updates, personalized recommendations, and gamified promotions to enhance user engagement and support local businesses. This project aims to bridge the gap between modern shoppers and local stores by delivering a personalized, efficient, and community-focused shopping experience.
Patient Cohort Modeling
August 1, 2024 – October 1, 2024
Developed an AI solution that harnesses the power of Natural Language Processing (NLP) and the Databricks Lakehouse platform. This system: • Extracts valuable insights from unstructured medical data • Automates complex data analysis processes • Significantly accelerates patient recruitment for clinical trials By integrating advanced NLP techniques with the robust Databricks ecosystem, this project streamlines the traditionally time-consuming process of identifying suitable candidates for clinical studies, potentially revolutionizing the efficiency of medical research.
HaaS Manager
July 1, 2024 – August 1, 2024
Built a Proof of Concept (PoC) web application for a Hardware-as-a-Service (HaaS) system, emphasizing secure user management, efficient resource allocation, and scalable architecture. Leveraged Python, React.js, MongoDB, Jira, and Confluence to create functionalities for user authentication, project management, and hardware status monitoring, and deployed the solution using Azure Web App and Heroku.
Dec PML Challenge
Product Management Learning (PML)
June 23, 2026 – Present
Hands-On Essentials: Data Warehousing Workshop
Snowflake
June 23, 2026 – Present
Theory of Computation
NPTEL
June 23, 2026 – Present
Introduction to Programming in C
NPTEL
June 23, 2026 – Present
IT Project Management
Coursera
June 23, 2026 – Present
Jira: Getting Started
Pluralsight
June 23, 2026 – Present
Scrum Master Skills by Benjamin Day
Pluralsight
June 23, 2026 – Present
Project Management Foundations
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including AI-powered financial wellness, hyperlocal recommendation engines, and patient cohort modeling, shows a broad interest in applying technology to various domains. However, the target role is 'Analytics Engineer', and while there are data-related projects, the primary experience leans heavily towards Product Management. This suggests a potential mismatch in core day-to-day responsibilities and a need to assess their technical depth in analytics engineering specifically. The certifications include 'Data Warehousing Workshop' which is a positive signal for cultural fit towards an Analytics Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, project management, and stakeholder management skills through various roles. Their experience in Agile environments and leading teams suggests a good operational fit. The descriptions highlight problem-solving, strategic planning, and collaboration, which are crucial soft skills for senior roles.