Aditya Mittal

Aditya Mittal

About

Detail

Senior Data Analyst at Criteo
Bengaluru, Karnataka, India

Contact Aditya regarding: 
work
Full-time jobs

Timeline


work
Job
school
Education

Résumé


Jobs verified_user 0% verified
  • Criteo
    Senior Data Analyst
    Criteo
    Oct 2024 - Current (1 year 9 months)
    - Process Automation: Develop and implemented an automated overspending alert system on the Criteo platform, resulting in a potential EUR 50k/month revenue uplift and reducing the commercial team's workload by 5+ hours/week through real-time monitoring of daily and monthly overspending. - Strategic Analytics Leadership: Demonstrate thought leadership by collaborating with stakeholders to develop and launch analytics products, understanding business processes, ensuring data quality, and fostering strong stakeholder relationships to identify opportunities and enhance business acumen. - Lead analytical efforts for campaign performance and optimization, leveraging insights to improve advertising strategies for agencies and brands. Work with l
  • Criteo
    Data Analyst
    Criteo
    Apr 2022 - Sep 2024 (2 years 6 months)
    - Strategic Campaign Management: Performed day-to-day data analysis by extracting and analyzing 500+PB of data using SQL, Python, Hive and Presto across Vertica and Hadoop clusters. Led the development and execution of targeted marketing campaigns for various products like video, retargeting, branding, etc. through audience segmentation and campaign optimizations. - Email Alerting System for Agencies: Designed and implemented an automated email alerting system to monitor campaign performance and spending for various APAC markets with reports tailored to market needs. This system reduced AX manual effort by decreasing the number of tickets from 16 per week to 7 per week and saving 20 hours of team effort per week. Streamlined agency collabo
  • Fractal
    Imagineer
    Fractal
    Oct 2020 - Mar 2022 (1 year 6 months)
    • Territory Optimization and Capacity Analysis: Led an initiative to optimize territories to maximize sales impact while minimizing costs. Utilized key metrics to evaluate territories, recommending resource reallocation and new resource deployment. Successfully forecasted future capacity and targeted accounts for optimal resource utilization. • Time Series Forecasting: Developed an ARIMA (3,0,3) model to forecast quarterly sales for a business line, achieving a MAPE of 10% in training and 15%-18% in testing. Integrated the model into the existing Einstein Platform, transforming it from a black box into a transparent tool, enhancing end-user comprehension and application accuracy.
Education verified_user 0% verified
  • Delhi University
    Master's degree, Applied Operational Research
    Delhi University
    Jan 2018 - Dec 2020 (3 years)
  • Delhi University
    BSc - Bachelor of Science, Mathematics
    Delhi University
    Jan 2014 - Dec 2017 (4 years)