// Lead Analyst · Data & Marketing
I'm Swarnadip — a Lead Analyst with 3+ years turning messy, multi-source data into attribution models, segmentation pipelines, and dashboards that teams actually use.
// specialisations
// about me
I'm Swarnadip — a Lead Analyst currently at Career.io (Bridgetalent Pvt. Ltd.), where I sit at the intersection of data engineering and business intelligence. I build the models, pipelines, and dashboards that give teams the clarity to act fast and spend smart.
My edge is breadth with depth: I can write production-grade SQL in Redshift and ClickHouse, design dbt pipelines from staging to mart, and translate the output into a clean Periscope dashboard the exec team can actually navigate. I've shipped attribution models, user segmentation systems for 50M+ records, and A/B testing frameworks that moved conversion metrics.
I think of myself less as an "analyst" and more as the person who closes the loop between data and decision.
// selected projects
Built a multi-touch attribution model using ClickHouse and Mixpanel event data to accurately credit each marketing channel across the customer journey. Merged ad platform data, Google Search Console, and Impact partner data for a full-funnel view. The model directly informed budget reallocation and drove a 15% increase in ROMI.
Processed 50M+ resumes with Sovren to extract job title, industry, and YOE. Used GPT + an in-house canonical service to build audience segments for targeted email and product offerings. Shipped a dbt pipeline (staging → transform → mart) and a conversion dashboard tracking open rates, CTR, and CVR.
Built an interactive KPI dashboard in Periscope tracking CAC, LTV, and AOV in real time. Implemented ETL in dbt integrating ad platforms, PSPs, and product data. Leadership went from weekly Excel reviews to a single live source of truth.
Designed and maintained a payout attribution model at Career.io to allocate revenue credits to external partners accurately. Also managed payout structure optimization at Shadowfax across multiple locations, ensuring financial accuracy and operational consistency.
// technical stack
// depth of expertise
// domain focus
// career history
// education
Covered ML, statistics, engineering pipelines, and business analytics applications.
// what I bring
// collaboration tools
Comfortable with async-first, remote teams and agile workflows.
// let's connect
I'm open to senior analytics, data strategy, and lead analyst roles — especially in product-led or marketing-heavy environments. If you want someone who can own the full stack from raw SQL to stakeholder decks, let's talk.