• Perform statistical data analysis and experimentation on extremely large datasets (TBs) to drive integrity product changes that help the company unblock disabled revenue. (Tools: Presto/Hive SQL/Hadoop, Python, sklearn RCA)• Partner with Integrity/Product teams to solve large-scale global issues to reduce harm on the platform by simultaneously making sure that well-intentioned advertisers are protected from incorrect integrity actions.• Build and maintain dashboards to monitor metrics related to Advertiser Integrity Experience (SLA metrics, Issue Resolution, etc.). Perform RCA to discover factors that drive bad advertiser experience. (Tools: Presto/Hive SQL, Dashboards, Python)• Define, materialise, and utilise ROI metric for Advertiser Support Workflows (Integrity Appeals system) to make priotisation on OpEx investments• Map Advertiser Lifecycle from the Integrity perspective and size the revenue implications of various integrity actions taken on good and bad advertisers to obtain a holistic understanding of Ads Space and use it for project prioritisations.

• Performed extensive statistical analysis on the performance and bias characteristics of Azure Vision services.• Built a data pipeline to collect unstructured data, run automated analysis, and update results on Azure PostgreSQL database.

• Developed a Machine Learning based tool in Python to optimize logistic operations that scaled across customers in Eastern Europe. Resulted in significant manual workload savings on site. • Collaborated with the Deep Learning team and developed an ML based statistical forecasting tool using Tensorflow. • Created a new algorithm in Python to perform software Failure Mode and Effects Analysis using Fuzzy-Art Neural Networks.• Created a client-side web application to visualize Cargo Loading optimization processes using Flask in Python.

• Optimized the operation of legacy systems and products by partnering with clients in the US and achieved savings in experimentation investments. • Engaged with process partners in UK to carry out Numerical Modelling of Marine IC Engines and reduced the turnaround time for design improvements by one third.• Provided 3 months’ training to junior employees on improving critical thinking skills and collaboration techniques.• Defined new metrics for post-processing tasks in StarCCM+ experimentations and automated the process by using scripts leading to a 40% improvement in turnaround times. • Performed standardized analyses for mechanical products by collaborating with the R&D team and derived key insights for improved product performance.

• Assisted MTech students at Internal Combustion Engines lab.

• Taught subjects in Mechanical Engineering to Second year BTech students aspiring for higher grades.• Coached/Instructed students for Graduate Aptitude Test in Engineering.