Available to hire
Hi, I’m Atharva Lokhande, a data-driven analytics professional with a Master of Science in Business Analytics from Boston University. I specialize in turning ad and ticketing data into actionable insights, building ETL pipelines, dashboards, and optimization strategies that reduce waste and increase ROI.
I love collaborating cross-functionally with marketing, operations, and pricing teams to drive outcomes like sell-out events and improved retention. I’m open to opportunities across the US and excited to apply my technical and storytelling skills using Python, SQL, Tableau, BigQuery, and cloud platforms to solve business problems.
Skills
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Language
English
Fluent
Work Experience
Programmer Analyst at Cognizant Technology Solutions
October 1, 2023 - October 14, 2025Partnered with an event ticketing & entertainment client as the measurement analyst for high-demand concerts, analyzing campaign performance across Meta, Google Ads, and YouTube. Engineered ETL pipelines in Databricks to ingest ad platform data and ticket sales, ensuring data reliability and enabling same-day optimization. Monitored CPA, CTR, and ROI in real time; paused underperforming campaigns and reallocated budget to high-converting ad sets, reducing wasted spend by 15%. Built Tableau dashboards to provide stakeholders with daily insights into campaign performance, ticket pacing, and regional demand. Collaborated cross-functionally with marketing, event organizers, and pricing teams to optimize ticket sales strategy and contribute to a sell-out event two days ahead of schedule.
Data Analyst at HumInspAIRe Pt Ltd
February 1, 2022 - October 14, 2025Built executive self-serve Tableau dashboards (KPIs, basket trends, channel ROI) that sped regional decision-making and reduced ad-hoc requests. Led Apriori market-basket analysis to uncover product affinities; designed a 20-store randomized A/B test that validated a ~15% lift in average basket value; partnered with ops/merch to scale to ~70% of stores. Designed and analyzed multi-channel marketing campaigns (Email/SMS/Push, Meta, Google); standardized post-campaign readouts (CTR, CVR, CPA/ROAS, lift, halo) and drove weekly spend reallocation—improving overall campaign ROI. Developed loyalty segmentation using RFM/CLV and propensity signals; launched targeted offers via CRM and app push; ran holdout/A/B tests vs. generic blasts—driving higher redemption and improved retention among high-value members. Established experiment guardrails (power checks, clean control design, match-rate disclosure) and documented a measurement playbook to improve repeatability and partner trust across t
Education
Master of Science in Business Analytics at Boston University, Questrom School of Business
January 11, 2030 - January 1, 2025Qualifications
Bachelor of Engineering in Computer Engineering
January 11, 2030 - October 14, 2025Microsoft Certified: Power BI Data Analyst Associate
January 11, 2030 - October 14, 2025SAS Applied Statistics for Machine Learning Associate
January 11, 2030 - October 14, 2025Industry Experience
Software & Internet, Professional Services, Media & Entertainment, Computers & Electronics
Skills
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