Oct 2025 – Jan 2026 · 3 mos · London Area, United Kingdom · On-site

• Most Impactful Data Agency 2025 - Greater London Enterprise Awards
• 173tech is a London-based analytics agency that helps growing businesses worldwide leverage data. Our core team previously led analytics at dating giant Bumble and we have since been using data to accelerate growth for the likes of Fyxer AI, MeUndies, Treatwell, MUBI and many more.
• We have supported over 40 clients globally, consistently delivering measurable results and maintaining an exceptional NPS of 9.4/10 over the past six years.
• Working with 173tech is effortless – wake up, log in, and instantly tap into a full data team at your fingertips. From strategy to implementation, we make leveraging data for growth easy and hassle-free.
• Data tools we work with: Fivetran, Airbyte, Stitch, dlt, Dataddo, BigQuery, Redshift, Snowflake, Databricks, dbt, Python, SQL, Looker, Metabase, Power BI, Tableau, Omni, Census, Dinmo, Hightouch, Airflow, Prefect, Dagster, EC2, Fargate, Cloud Run, Github Actions & more.

Aug 2024 – Jul 2025 · 11 mos · London Area, United Kingdom · On-site

• ◦ Developed dbt models and designed Metabase dashboards to optimize the fulfillment process for 100+ benefits, reducing manual intervention.
• ◦ Led discovery and design for the analytics dashboard in the product, from defining key metrics to building data models and visualisation.
• ◦ Created complex custom automated payroll reporting on dbt and metabase for multiple clients, ensuring seamless integration with their payroll providers and increased customer retention.
• ◦ Designed Metabase dashboards tracking product launch KPIs: feature engagement, log-in trends, employee utilization, opt-in rates, and spend analytics enabling C-level strategic decisions on the customer end.
• ◦ Led product discovery for an automated Django-based reporting solution, improved benefit fulfillment speed, and reduced operational overhead by 25%.
• ◦ Owned end-to-end improvements in the benefit fulfillment process, working with internal operations teams and external stakeholders, including benefit providers and employers.
• ◦ Collaborating within a cross-functional data team in a fast-paced Series A startup, working closely with product, engineering, and business teams to define key success metrics and drive strategic initiatives.

Jul 2024 – Aug 2024 · 1 mo

• ◦ Scoped and implemented end-to-end reporting of compliance metrics for the firm using a combination of SQL, AppScript, MS Office and Data Visualization tools
• ◦ Built and optimized an ongoing compliance monitoring solution to reduce false positives by 40% and address potential gaps in policies.
• ◦ Built an internal OKR dashboard to track and improve compliance performance and enhance risk visibility among internal stakeholders
• ◦ Improved expert verification rate by 25% and Increased number of checks per week by 200% by automating a highly manual process
• ◦ Partnered with Product teams to uncover platform pain points, influencing the discovery and design of four technical solutions and explained technical concepts to a non-technical audience.
• ◦ Mentored 3 non-technical team-members in analytics and project management.

Mar 2022 – Jul 2024 · 2 yrs 4 mos

Jul 2020 – Mar 2022 · 1 yr 8 mos

• Active contributor in the Consumer Lending Analytics team to build and maintain Tableau dashboards using a combination of SQL, SAS, SAS Viya, Python and Tableau.
• Held knowledge sharing sessions on reporting and analytics in the domains of Model Risk, Operational Risk, Risk and Control Assessment and Enterprise Risk Assessment
• Used NLP and ML techniques on Python for text analytics like sentiment-analysis and text matching to build an internal employee attrition model.
• Built and produced 15+ vital risk reports including those for Home Lending Audit, Operation Risk and various Control Owners

Jul 2019 – Jun 2020 · 11 mos

May 2018 – Jul 2018 · 2 mos · Bengaluru, Karnataka, India · On-site

Nov 2017 – Dec 2017 · 1 mo · Navi Mumbai

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