Ashish Bodhankar Email & Phone Number

Jersey City, Nj, Us

Toronto, Ontario, Ca

At Index, I am responsible for onboarding new DSP integrations on the exchange.An expert in querying, scraping, and analyzing oRTB JSON files representing programmatic auction logs of digital ads. It's esentially all Ad-tech traffic flowing across the internet via Index's data centers worldwide. By leveraging an internal Kafka tool to scrape these auction logs in real time, I am able to analyze JSON data to resolve the technical issues in DSP integration.Expert at querying and analyzing parsed Log Level Data (LLDA) stored in HDFS using Trino’s SQL query engine. LLDA is the most granular dataset that records the lifecycle of a bid. It’s the building block for all aggregated reports available in the company.I am well-versed in OpenRTB 2.5/2.6 specification.I am responsible for end-to-end management of top tier DSP accounts that includes:○ Monitoring grafana realtime alerts for Ad-spend declines and DSP errors/timeouts increase.○ Resolving DSP integration health issues including mitigating DSP timeouts, troubleshooting oRTB response errors and spotting discrepancies in Media spends between Index Exchange and the DSPs.○ Pushing and patching changes to DSP configs using internal API tools.○ Validating the functionality of DSP endpoints and conducting latency checks to spot issues with DSP endpoints.○ Responsible for growing media revenue by scaling DSP integrations across all Omni channels (STV, OLV, Display, Native) and Demand Channels (Open market vs private market).○ Conducting A/B testing on DSP configs aiming to improve the efficiency of DSP integrations thereby driving incremental growth in Ad revenue for the company.○ Liaising with internal Product teams and Engineering divisions to facilitate the testing of new product releases. ○ Collaborating with Finance and Analytics team to mitigate discrepancies in media spends between Index and the DSP by analyzing complex datasets to narrow down and identify root causes for billing mismatches.

Herndon, Va, Us

- Worked as a data scientist within the ML team that designed and maintained Idexcel's "Financial Analyzer" product. FA is used by Idexcel's clients (financial institutions or banks) to leverage it's OCR technology and quickly scan through a borrower's financial documents that allows them to process and extract critical information within seconds. Banks then use this information to assess the credit worthiness and financial health of the borrower before lending loans.- FA is a cloud-based, relationship-driven application that enables lenders (clients) to streamline processes, automate financial spreading and access quick cashflow analysis for faster more accurate decision making.- FA leverages the AWS Amazon textract, and is designed using NLP and CV libraries in python, like the OpenCV, NLTK, regEx, gensim etc.- I helped the team with enhancements and bug fixes in the FA workflow's backend code.

New York, New York, Us

• Built an automated smart predictive retargeting system that ranks individual site visitors in real-time with a probability score for their likelihood to purchase. Tested the system for a Travel advertising campaign resulting in 7x increase in the customer acquisition rates. This project gained global recognition and evolved into a commercial offering.• Product analytics for a reinforcement learning agent to run advertising campaigns with no Human intervention. The product was being developed to solve a multi-armed bandit problem of budget allocation to different marketing strategies.• Deployed a decision tree algorithm that identifies website customers with the least propensity to drop off. Drove an uplift of relevant customers using advertising campaigns and reduced the customer churn rate by 45%. Translated the above analysis into a case study that was shortlisted for “The best use of data award by Mumbrella, Australia” in 2019.• Supported the client direct engagements as a front runner in building POCs for data science solutions that demonstrate analytics capabilities to clients leveraging MIQ’s micro/macro data sources.

New York, New York, Us

• Devised a hybrid recommendation engine using intrinsic features calculated from user search data on a website to target them with relevant products leveraging Dynamic Creative Optimization. Increased campaign conversion rate by 7x• Association Rule Mining for E-commerce transactions. And devised a Python model to predict the Customer Lifetime Value (CLV) for a travel clothing brand. High expected lifetime value users were aggressively targeted with personal messaging, resulting in 2x campaign conversion rate.• Managed analytics team meetings & conducted brainstorming sessions for scoping internal Data Science project that drive efficiency. And maintained PySpark/Hive automation workflows for datasets used in Audience clustering and modeling.

New York, New York, Us

• Optimized digital Ad campaigns using real-time ad-exchange data in union with third party audience, location, weather, social and other macro & micro data sources within MIQ. Drove diversified product testing in key campaigns and influenced product roadmaps by guiding product decisions. Acquired buyer side essential certification & training in advertising DSPs like Xandr, DV360, The Trade Desk and in-depth knowledge of proximity-based location targeting products like Factual.• Formulated exemplar insights by merging Offline, Online and Cross-Device datasets. Managed Hive, SQL, and Python-based automation workflows to maintain datasets intended for analysis, modeling, activation, and insights of media & client direct accounts. Designed custom client facing Tableau dashboards that projected actionable insights.• Automated redundant Hive queries using in-house products, to improve efficiency and designed VBA templates to automate standard PPT reports (saved 35% time spent on presentations per analyst).

New York, New York, Us

In

New York, Ny, Us

Graduate Certificate, Stochastic Systems

Master Of Science - Ms, Data Science

Master’S Degree, M.Sc(Hons) Mathematics

Bachelor’S Degree, B.E(Hons) Civil Engineering

High School, Class Xii: Andhra Pradesh Board - Mpc