Feb 2022 – May 2024 · 2 yrs 3 mos

• Led stakeholder collaborations to address client challenges, overseeing ML algorithm
• development, driving revenue growth for MiQ through client.
• Developed and deployed various analytical solutions such as predictive modelling using
• XGBoost and A/B testing strategies to reach high potential buyers of client.
• Developed a new targeting strategy using look-a-like modelling, by segmenting potential users’
• behaviour from Australian Linear TV data.
• Developed a recommendation engine to enhance tailored targeting for clients for
• entertainment clients.
• Consult and engage with stakeholders to assess the business problems, develop roadmaps,
• and validate performance of models to support clients in various verticals such as Healthcare,
• Insurance and Government Ad agencies.

Jan 2021 – Feb 2022 · 1 yr 1 mo

• Automated repetitive insights and reporting tasks, reducing monthly hours by 10.
• Deployed end- to- end machine learning models trained on historic ad campaign budget data
• by incorporating Automatic Bid Optimization, resulting in a 21% reduction in budget
• overspending.
• Implemented an end- to- end ML model trained on user website behaviour, employing Custom
• Bidding with propensity modelling, resulting in a 1.5x increase in conversions while reducing
• CPM costs.
• Leveraged analytical solutions to drive strategic engagements with three or more clients within
• the EMEA market, aimed at reducing churn.

Sep 2019 – Dec 2020 · 1 yr 3 mos

• Developed insights for 50+ advertisers across diverse verticals, encompassing banks,
• automobile, retail, food, and tourism, leading to enhanced client engagement and increased
• spending with MiQ.
• Created 5 client- facing analytical dashboards utilizing big data and viz tools like Tableau.
• Assessed the advertising analytics landscape to facilitate the successful launch of the
• business in a new market—Middle East, North Africa, and Turkey (MENAT). This involved
• thorough requirement gathering, data onboarding, productionalizing, and strategy development
• for various advertisers.

Jul 2019 – Sep 2019 · 2 mos · Bengaluru Area, India

• Worked in the Underwriting team of Ola Financial Services.
• Projects/Tasks:
• 1. External Merchant Tracker: Created tool for automating external merchant tracking for Ola Money Post-paid, captured the week on week performances of the merchants.
• 2. External Merchant Analysis: Created variables and modeled using R to obtain probability of bad for underwriting of customers in external merchants.
• 3. Customer Acceptance Behavior Analysis: Created behavioral variables to track customer acceptance on Ola Money Post-paid platform.

May 2018 – Jul 2018 · 2 mos · Bengaluru Area, India

• Worked in the Functional and Industry Division of Accenture Digital.
• Project/Task : Offer Price Optimization for Customer Retention
• OTT business is a dynamic environment where customer retention is key for companies as customers can cancel their subscription at any point of time. The project involved predicting the probable reason for cancellation of any given product and add an additional predictive layer to decide on probable offer related solutions. Models were developed in R using Machine Learning and Artificial Neural Network algorithms. Built a prototype app in R-Shiny to showcase how retention can be increased by the help of ensemble models and interactive customer feedback by offering an optimized price based on the feedback provided.