May 2025 – Sep 2025 · 4 mos · Remote

• Took on freelance AI training data work with Outlier and Mindrift, experimented with no-code AI builders, and built out a portfolio.

Sep 2024 – Apr 2025 · 7 mos

• Following a company-wide layoff at Covalent during the crypto downturn, used the transition to go deeper on hands-on AI literacy.
• Took on freelance AI training data work with Outlier and Mindrift, experimented with no-code AI builders, and built out a portfolio.
• Relocated from Canada to India to focus on the AI product ecosystem; also explored photography and videography as a creative reset.

Jan 2024 – Sep 2024 · 8 mos · Vancouver, British Columbia, Canada · On-site

• Designed and maintained self-serve dashboards and visualizations using Looker Studio and Hex to track KPIs like MRR, churn, and funnel metrics using SQL and Looker Blend (JOINS, CTEs, Window Functions) on Snowflake data. These dashboards supported EDP teams, C suite and board-level discussions by making key product and business insights easily accessible for strategic decision making
• Collaborated with EDP teams to translate business needs into analytical models, contributing data-driven recommendations that supported a new tiered pricing and subscription model and boosted Goldrush API's monthly MRR by 15% in 2 months
• Developed statistical and revenue models through RFM, Regression, and Cohort funnel analysis while implementing A/B testing using Mixpanel and growth experiments to drive informed product strategies and go-to-market strategies through data analysis using SQL
• Partnered with Customer Success to perform product demos and market research, identifying customer pain points and prioritizing feature requests creating a feedback loop to enhance overall customer satisfaction of the product and increase LTV of customers
• Designed a dynamic Token AirDrop allocation model, a rewards system for asset holders to distribute $100,000 USD in rewards, resulting in a 12% increase in token engagement within 48 hours increasing token value by almost 36%
• Researched emerging LLMs and collaborated with engineering to design a no-code AI Query Writer utilizing OpenAI API, transform- ing natural language into precise queries and enhancing product adoption by 10% among non-technical users like PMs and investors

Feb 2023 – Jul 2023 · 5 mos · Toronto, Ontario, Canada · Hybrid

• Delivered data migration projects for Financial Services and Healthcare clients, using SQL to optimize large datasets and improve processing efficiency by 25%.
• Led client workshops on agile product delivery and change management, driving adoption of new solutions like a Geo-Optimization tool that boosted FTE efficiency for a major healthcare provider.
• Built and maintained Tableau and Looker dashboards to track project lifecycles from proposals to revenue forecasts, enabling real-time strategic decision-making.
• Facilitated cross-functional strategy sessions to translate complex requirements into clear analytics frameworks, ensuring technical deliverables aligned with client objectives.

May 2022 – Dec 2022 · 7 mos · London, Ontario, Canada

• Developed data visualizations and dynamic dashboards on Peoplesoft Kibana and Elasticsearch with 24-hour up-time for reporting and analytical purposes
• Analyzed and provided accurate financial information such as ROI, and CLV using SQL queries and financial modelling for effective financial decision-making
• Developed strategies for process improvement as a part of a financial service’s digital transformation initiative

Aug 2020 – Apr 2021 · 8 mos · Bengaluru, Karnataka, India

• Researched developing, implementing, and monitoring data collection systems using big data tools such as Hive, HQL, and SQL to acknowledge the process flow of various data sources
• Maintained databases and data systems in the data lake daily to attain optimal performance and achieve 100% uptime with the help of YARN management and monitoring
• Executed several crucial tasks to accomplish 97% data recovery during a data loss crisis in the client’s organization

May 2019 – Jul 2020 · 1 yr 2 mos · Bengaluru · On-site

• Gained experience in healthcare-related data and knowledge of the insurance industry to know the client’s business
• Spearheaded A/B testing strategy for converting data pipelines into automated Control-M jobs for process improvement and helped decrease the client’s operating costs by $500,000 per annum
• Maintained data pipeline using Streamsets and SQL up-time of 99% while ingesting streaming and transactional data across different primary data sources

Jun 2018 – Apr 2019 · 10 mos · Visakhapatnam, Andhra Pradesh, India

May 2018 – Jun 2018 · 1 mo · Bengaluru Area, India

May 2017 – Jun 2017 · 1 mo · Hyderabad Area, India