Nov 2025 – Present · 7 mos · Bengaluru, Karnataka, India · On-site

• Lead Annual Operating Plan (AOP) development, aligning growth targets, GMV, and user acquisition goals with business strategy.
• Own performance metrics across GMV, bookings, users, and conversion funnels; track and optimize performance through deep data analysis.
• Design and execute monthly and quarterly planning cycles, ensuring phasing accuracy and forecasting precision.
• Build and automate performance reporting dashboards for visibility across business lines and leadership teams.
• Partner with cross-functional teams (Product, Marketing, Finance, and Analytics) to drive growth initiatives and process improvements.
• Manage stakeholder communication by translating complex metrics into actionable insights and narrative-driven business updates.
• Identify opportunities for efficiency, conversion lift, and user retention through continuous performance reviews and data-led experimentation.

Jun 2025 – Oct 2025 · 4 mos · Bengaluru, Karnataka, India · On-site

• Launched Craiggenie (an automated job posting tool) across APAC, EU, Australia, and the Americas, enabling global scale and operational consistency.
• Drove net revenue to over $1M within a single financial year by optimizing product performance and expanding market adoption.
• Reduced operational bandwidth by 65% by developing Python automation scripts and AI-powered tools, streamlining repetitive tasks, and boosting team productivity.
• Integrated agentic AI bots, achieving 40% faster task completion and boosting team productivity by 25%.
• Automated repetitive reporting using agentic AI, cutting manual effort by 70% and saving 30+ hours weekly.

Mar 2024 – Jun 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

• Revamped a failing project into a top revenue driver, contributing $700K to annual profit.
• Optimized SQL queries in Snowflake, reducing query execution time by 60% and improving data processing efficiency for 10+ key business reports.
• Identified inefficiencies, reducing processing time by 40% and cutting operational costs by 45%, optimizing workflow efficiency.
• Leveraged Python scripting to automate repetitive tasks, reducing manual effort by 75 hours per week.
• Cleaned and processed 1 M+ records using Python (pandas), improving data accuracy by 98% and reducing processing time by 30%, ensuring reliable data insights.

Jul 2023 – Nov 2023 · 4 mos · Gurugram, Haryana, India · On-site

• Actively traded EURIBOR futures, leveraging market trends and data-driven strategies to inform trading decisions.
• Conducted in-depth research on international micro and macroeconomic indicators, including GDP growth, inflation rates, unemployment levels, and central bank policies.
• Analyzed global interest rate trends and their correlation with bond yields, credit spreads, and currency markets.
• Monitored geopolitical events, trade balances, and fiscal policies to anticipate market shifts and inform decision-making.
• Developed and maintained financial models to evaluate scenarios related to monetary policy changes and their impact on interest rate derivatives.
• Collaborated with cross-functional teams to optimize trading strategies, mitigate risk, and enhance portfolio performance.

Jul 2021 – Jun 2023 · 1 yr 11 mos · Remote

• Automated data extraction processes using Python, leveraging libraries like BeautifulSoup, Selenium WebDriver, and Playwright for efficient web scraping and browser interaction.
• Built and maintained scalable data pipelines for collecting, cleaning, and storing structured and unstructured data.
• Utilized SQL and JSON to integrate and manage data from multiple sources, ensuring accuracy and consistency.
• Designed scripts for manipulating and analyzing data in Excel, automating repetitive tasks to improve workflow efficiency.
• Implemented API integrations to streamline data ingestion and reduce manual dependency.
• Developed solutions for end-to-end automation of data collection processes, optimizing performance and reducing operational costs.
• Collaborated with teams to ensure seamless implementation of data-driven automation solutions.
• Successfully served over 100 clients across various industries, delivering tailored data automation solutions to meet diverse requirements.