Headline

Founding Team at House of X | Ex-Meesho | Ex-Amazon | Power BI, R language, Amazon Redshift, Apache superset, SQL, ETL, Excel, Metabase, Zeppelin, Google Analytics, AirFlow

About

Analytics leader with 7+ years of experience in e-commerce and D2C, delivering measurable impact across Growth, Marketing, Product, Finance, and Supply Chain. Proven success in reducing RTO by 25%, boosting checkout conversions by 14%, and saving annually through data-driven interventions. Founding team member at House of X, where I built the analytics foundation from scratch, designed investor-ready P&L dashboards, and established KPI governance across functions. Skilled in SQL, Snowflake, Redshift, Superset, Power BI, A/B Testing, Data Modeling, and data pipelines. Passionate about scaling businesses through data-driven strategy and cross-functional collaboration. Adept at mentoring teams and aligning data insights with business strategy.

Location

Bengaluru

AI stack

claude code

claude

codex

grok

openai

ChatGPT

Work experience

Analytics at House of X, Dec 2022 - Present · 3 yrs 10 mos, Taking care of anything and everything related to data

Senior Business Analyst at Meesho, Mar 2022 - Dec 2022 · 10 mos, Bengaluru, Karnataka, India

Analytics at Amazon, Sep 2020 - Feb 2022 · 1 yr 6 mos, Bengaluru, Karnataka, India

Data Analyst at WMall (BlitzScale Tech), Jun 2019 - Sep 2020 · 1 yr 4 mos, Bengaluru, Karnataka, India, 1) Developed metrics to analyze pertinent information and share insights through various reports, dashboards on sustainable basis. 2) Segregating logistic company and making Dashboards based on FAD, delivery performance, RTO’s, O2S, S2A across different states. 3) Analyzing which seller is working actively on the basis of Dispatch% and print, pack, handover report on the daily basis. 4) Made bucketing system for tracking status coming from 3PL API’s which increased the efficiency. 5) Generated and tracked Compliance and metric reports daily for all orders to identify trends, patterns and concerns emerging from the data. 6) Preparing the reports and finding the reason behind various stuck shipments and providing it to the escalation team to escalate the stuck orders. 7) Analyzed historical data based on O2A across different states and made Expected Delivery Date which covered 78% orders. 8) Made Dashboards on NDR reasons in order to keep track on its distribution and finding the exact reason for increasing RTO’s and escalating such cases which increased NDR to delivered cases from 34% to 45%.

Data Analyst at WMall (BlitzScale Tech), Feb 2019 - May 2019 · 4 mos, Bengaluru, Karnataka, India

Education

Bachelor of Technology - BTech, Information Technology, JSS Academy of Technical Education, Noida

isc, City Montessori School