Luv Mutreja

About Luv Mutreja

Numbers tell stories—and I like helping them speak clearer. Whether it’s fine-tuning a credit-risk rule or making customised dax heavy dashboards, I look for the tiny tweak that changes the whole decision.Hi, I’m Luv, a data analyst who swapped a Business-and-Law degree for a life in Python and SQL. At IndiaLends, I:• shifted legacy data from Synapse to Databricks, then wrote 20+ stored procedures that cut daily report time by 80 % ⏱• tuned ML features and automated lender policy checks, lifting prediction accuracy by 15 % and nearly wiping out manual errors • built Power BI dashboards that helped the growth team lift ROI by 14 %, conversion by 12 %, and disbursal by 8 % Side projects keep me curious: IPL auction plan that matches players to gaps in Rajasthan Royals’ squad, a heart-disease risk model (XGBoost + SMOTE),and a Netflix content clusterer.Tools I trust: Databricks, SSMS, MySQL, Power BI, Tableau, Looker Studio, plus good old Excel when it’s faster. Certifications in PowerBI, advanced SQL and full-stack data science back me up.I enjoy pairing a lawyer’s eye for detail with an analyst’s urge for patterns; the goal is always the same—clear insight that anyone can act on. Working on data questions that need crisp, honest answers? Let’s connect, or have a look at my code on GitHub.

Experience

1. Data Analyst

   Lendbox

   Dec 2025 — Present

   Data Engineering & Automation: Migrated legacy tables from Synapse to Databricks and developed 20+ SQL storedprocedures; built Python automation scripts that reduced daily reporting time by 80% and improved reportingefficiency by 20%.• Modeling & Risk: Refined ML model variables and automated lender policy logic, increasing prediction accuracy by15% and reducing manual configuration errors by 95%.• Visualization & Strategy: Designed PowerBI dashboards for acquisition, lead quality across sources, lender funnels,external vendor, CC funnel and disbursals; insights drove a 14% improvement in ROI, 12% boost in conversion rates,and 8% increase in disbursement rates.• Backend Operations: Engineered SQL procedures for CRM pagination and implemented end-to-end repayment logic,resolving discrepancies to maintain 100% payment accuracy for new lenders.

Education

• Fairfield Institute of Management & Technology

  BBA LLB

• Blue Bells School International

  Schooling, Business/Commerce, General