Nov 2024 – Aug 2025 · 9 mos · Remote

Mar 2024 – Dec 2024 · 9 mos · Delhi, India · On-site

• Built and scaled micro travel brands and US Visa process.

Aug 2023 – Feb 2024 · 6 mos · South Mumbai, Maharashtra, India · On-site

• As a B2B Generalist at Atlys, I spearheaded a pivotal transformation across sales and account management by introducing and integrating data-driven strategies that optimised our operational approach. My role involved architecting the foundational frameworks for new sales and account management processes, transitioning from traditional, paper-based systems to dynamic, analytics-driven methodologies using advanced tools like Google Sheets and custom dashboards.
• I worked in digital transformation, enhancing our website's landing page and initiating marketing strategies, like setting up a vibrant WhatsApp community and automating emails to streamline customer communication. These initiatives not only improved engagement but also fortified our marketing efforts, reflecting directly in enhanced retention.
• My responsibilities extended to comprehensive data analysis, where I led the development of performance dashboards, tracking sales activities and account management outcomes. This allowed for real-time performance assessments, enabling swift strategic adjustments. My analytical prowess was instrumental in conducting root cause analyses to understand fluctuations in performance metrics, providing actionable insights that drove continuous improvement.
• Beyond technical and analytical endeavours, I expanded my operational knowledge within the travel industry, gaining a deep understanding of visa processes and building a personal network of over 2000 travel agents across India. This network proved invaluable in enhancing our operational reach and understanding market dynamics at a granular level.
• My contributions were also visible in event management, where I played a strategic role in industry events like OTM 2024. These experiences not only honed my project management skills but also enriched my capabilities in stakeholder engagement, positioning me as a versatile leader adept at navigating complex business challenges and driving sustainable growth.

May 2023 – Jul 2023 · 2 mos

• During my two-month apprenticeship as a Product Account Manager at GoKwik, Asia's leading D2C e-commerce enabler, I engaged closely with Vijay, one of the seasoned product managers, to deepen my understanding of product management within a high-stakes environment. GoKwik, known for its robust checkout systems used by industry giants like Boat, provided an ideal setting for professional growth.
• My primary responsibility was managing our top client, the Mosaic Group, aiming to achieve transaction milestones of up to 2CR ARR. This role demanded acute prioritisation, seamless coordination with the engineering team, and effective bug management to ensure client-specific enhancements and functionalities were delivered efficiently.
• Despite facing challenges that reflected in my performance rating of 6 out of 10, this period was marked by significant learning, particularly in stakeholder management and navigating complex client demands. I worked in the Tellephant project—a WhatsApp-based marketing and support tool designed for D2C brands—facilitating the integration of support chatbots tailored to enhance customer interaction.
• Additionally, I contributed to the development of engaging web pop-ups, including a "spin the wheel" feature, enhancing user engagement and conversion rates.
• The apprenticeship concluded as I recognized a mismatch in product vision alignment, leading to my decision to pursue opportunities more aligned with my aspirations. Nonetheless, the experience was invaluable, equipping me with crucial skills in cross-functional team collaboration and strategic product enhancements, foundational for my career.

May 2023 – Jul 2023 · 2 mos · Bangalore Urban, Karnataka, India · On-site

• As Co-founder of Transfrm.AI, alongside a talented classmate, we ventured into the emerging field of AI-driven business solutions, focusing on leveraging state-of-the-art LLMs like GPT-3.5 and LLAMA to build customized B2B tools. Our startup swiftly reached revenue of $5,000 within the initial two months, demonstrating early success and potential market fit for our innovative AI applications.
• Our primary goal was to bridge the gap between advanced AI technologies and everyday business operations. I spearheaded product development, focusing on the critical integration of features that cater to the unique needs of B2B clients. Through hands-on experimentation and development, we crafted tools designed to enhance operational efficiency and decision-making processes for businesses, grounding our solutions in practicality and user-centric design.
• However, the journey was met with significant challenges. Our go-to-market strategy encountered uncertainties that tested our adaptability and market understanding. These hurdles underscored the importance of a clear and robust market entry plan, especially in a high-stakes, rapidly evolving tech landscape. Despite these obstacles, the experience was profoundly educational, deepening my understanding of the AI sector's complexities, from cost management to technological deployment.
• The decision to pause the venture was difficult yet strategic, reflecting our commitment to ensuring market alignment and sustainable growth. This period of exploration significantly enhanced my skills in financial oversight, strategic planning, and the agile management of tech startups. It instilled a resilient entrepreneurial spirit and a deep appreciation for the transformative potential of AI in business.
• While Transfrm.AI is currently on hold, the insights and achievements from this venture remain pivotal, shaping my approach to future tech initiatives and continuing to inspire my entrepreneurial journey in the AI space.

Feb 2023 – May 2023 · 3 mos · Bengaluru, Karnataka, India

Aug 2022 – Feb 2023 · 6 mos · Bangalore

Jul 2022 – Aug 2022 · 1 mo · Bengaluru, Karnataka, India · Hybrid

Jan 2022 – Aug 2022 · 7 mos · Bangalore Urban, Karnataka, India

Jan 2022 – Apr 2022 · 3 mos · Bangalore Urban, Karnataka, India

Jan 2021 – Feb 2022 · 1 yr 1 mo · Pune, Maharashtra, India

• I am the programmer of the backend and developing the Data Theory-based Game Rating Algorithm