May 2024 – Feb 2025 · 9 mos · Toronto, Ontario, Canada · Hybrid

• Redesigned internal reporting workflows and pricing visibility dashboards to support sales & retention teams; reduced turnaround time by 40%.
• Led A/B tests to assess impact of inquiry volume on re-engagement; nudges improved re-listing by 15% for new users.
• Defined key funnel metrics across acquisition & retention and developed Power BI Dahsboards; surfaced data-backed insights that enhanced campaign performance by 18%.
• Collaborated cross-functionally with credit, operations and marketing to prioritize features impacting high-value seller segments.
• Identified critical drop-off among new sellers (28% re-listed); recommended product changes that included dynamic pricing suggestions and automated follow-ups.
• Gathered feedback via internal interviews and data deep-dives to identify gaps in seller experience; prioritized features for optimization based on business value.

Jan 2024 – Feb 2025 · 1 yr 1 mo · Toronto, Ontario, Canada · On-site

May 2023 – Aug 2023 · 3 mos · Toronto, Ontario, Canada · Remote

• Led team in developing client acquisition plan through primary and secondary research on market trends, customer behavior and competitor analysis, stakeholder interviews, optimizing business value, achieving 20% customer base and 30% increase in ARR.
• Introduced innovative analysis methods such as SWOT and PESTLE in client presentations, providing comprehensive insights for strategic decision-making.
• Identified issues, opportunities, and associated strategies within assigned procedural areas through frequent stakeholder management and interactions with the customers and the sales team.
• Documented business needs, defined use cases, and prioritized the product backlog in alignment with overarching business objectives and timelines and crafted user stories, translating high-level business goals to functional requirements.

Jan 2021 – Sep 2022 · 1 yr 8 mos

• Built and enhanced lending platform components for credit risk evaluation and CRM optimization, including API integration with third-party data sources.
• Conducted A/B testing on onboarding flows; achieved a 35% increase in qualified leads.
• Automated data ingestion from complex financial statements using Python + SQL , boosting accuracy to 80%+ and reducing manual work by 15+ hours/week.
• Collaborated with operations, finance, and compliance to streamline underwriting and pricing-related workflows.
• Created 15+ REST APIs for real-time credit data ingestion; documented in Confluence, cutting onboarding time by 30%.
• Migrated data logs to AWS (DynamoDB, Lambda, S3), boosting system efficiency and observability.

Oct 2020 – Jan 2021 · 3 mos

Jan 2020 – Jul 2020 · 6 mos · Bengaluru, Karnataka, India

• Enhanced Software Quality and Collaboration: Led cross-functional teams to deliver bug-free, high-quality software, utilizing tools like PyTest, Jenkins, and Docker to streamline deployment and ensure robust product launches.
• Optimized Location Recommendations: Engineered metrics that boosted item visibility in warehouses by 40%, while gaining proficiency in Django, Python, and SQL.
• Streamlined Documentation and Tracking: Utilized GitHub and JIRA for version control and issue tracking, and contributed to comprehensive technical documentation in Confluence, including user manuals and API guides.

Jun 2019 – Jul 2019 · 1 mo · Digboi, Assam, India

• Built an ML Ops Pipeline: Developed a pipeline to process attendance data, predicting employee late arrivals with 78% accuracy.
• Boosted Team Productivity: Enabled HR to improve leave policies, leading to a 20% increase in work throughput across teams.

Jun 2018 – Jul 2018 · 1 mo · Gurgaon, India

• •Collaborated with other developers to work on ERP system of NIIT University and added new features to it.