Akash Sharma Email and Phone Number

-- Directed the creation of an anomaly detection framework using advanced techniques such as Isolation Forest, Autoencoders and Hugging Face Transformers, identifying high-risk products and offers to enhance operational efficiency and product quality -- Spearheaded the use of Bayesian testing to optimize A/B testing processes, driving a 10% improvement in conversion rates for promotional campaigns -- Managed a cross-functional team of 10 ICs in integrating OpenAI models to detect and flag counterfeit products in real-time, recovering 15% of lost GMV -- Currently leading the development and implementation of a regression framework to analyse and predict customer purchasing behaviours, our previous quarter iterations have already resulted in a 35% increase in targeted marketing effectiveness

Served as a team lead for the AI/ML division of the Winmore app

- Implemented rollover programs for advertisers that contributed to a $55 million upsurge in Ad Spend. Devised innovative budgeting protocols for advertisers, elevating customer experience through intraday and shared budgets-Teamed up with the marketing divisions of renowned brands such as Under Armour, New Balance, and Monster to analyse customer segmentation data and construct Marketing Mix Models (MMMs) for optimizing channel investments. This collaboration paved the way for numerous focused marketing initiatives, ultimately driving a notable 15% enhancement in customer engagement-Optimised existing ETL pipelines, reducing data processing time by 70% and improving overall data accuracy for sales, advertising, search and various other signals for building MMMs-Guided a cross-functional team in creating an interactive whole page experience dashboard, offering immediate visibility into sales performance, website traffic, and trending search queries. This endeavour led to a notable 20% decrease in response time to evolving market trends and a remarkable 10% increase in net revenue through clicks for select marketplaces-Executed Monte Carlo simulations to forecast account churn patterns, empowering account managers to prioritize accounts at risk and achieve a 20% reduction in carrying costs. Notably applied to cases involving advertisers defaulting on their subscriptions/payments-Pioneered the advancement of AI solutions at Amazon by conceptualizing and implementing a chatbot empowered with the ability to generate reusable interactive SQL queries for routine analytics tasks. This initiative led to a remarkable 60% reduction in queued tickets and facilitated real-time report access

-Optimised the ad campaigns for various Financial Services platform by building a ML based Lookalike product for hyper targeting & increased the acquisition rate for credit card customers by 75%-Worked with the top credit information bureaus of India such as CIBIL to ameliorate and revamp the loan disbursal processes, resulting in a substantial decrease of churn rate by 23%-Designed, piloted and created an interactive Tableau dashboard to track the cohort changes and associated opportunities using precise customer location data, leading to an acquisition rate improvement for new customers by 2 times, over a fiscal quarter

-Led and supervised enterprise attach operations across North America, executing multiple campaigns to generate leads for sales representatives. Contributed to a significant $110 million increase in Dell's business-Designed, piloted and created an interactive WAPP analysis dashboard to track the pricing changes and associated opportunities at a SKU level between Dell & its competitors-Designed a Collaborative Filtering methodology for personalized product recommendations, leveraging neighbour and product affinity logic. Implemented automated insight reporting through SQL and Hive Scripts to facilitate data-driven decision-making-Created a propensity model using R to identify customers with a strong likelihood of purchasing SnP products. Collaborated regularly with the Sales, Product, and Marketing teams to convey these recommendations effectively

Search Engine Advertising • Worked with one of the largest tech giants to optimize Online Search Advertising through statistical analysis on performance and inventory metrics of strategic and mid-market advertisers • Employed fb prophet model & analyzed seasonality & trend components comprising customer revenue based on time series, which enabled studies revolving around the impact of holiday seasons(Black Friday, Cyber Monday etc.) & revised tactics for the impact managers on those occasions • Developed a comprehensive methodology based on residual analysis using copulas returns to devise the impact of a pitched tactic, over a pre-post period by formulating test & control groups • Built a framework for creating sub segmentation of accounts using clustering algorithms (affinity propagation), depending on various buckets & devise an interactive dashboard to channel the efforts of the sales team towards high growth customers • Developed an interactive R GUI for recording user inputs in a dynamic environment & trigger/automate ETL operations • Devised a linear regression model to analyze the rate of change of multiple features associated with a customer to predict churn rate & lifecycle stage. Subsequently designed an outreach program to prevent churn at an early stage & defined the various business KPIs determining churn • Created a series of interactive dashboards using Power BI & R to enable tactic recommendation to enhance Ad performance across publishers for various user driven customer profiles

Supply Chain Management / Data Infrastructure setup • Employed predictive modelling methods such as Linear regression, logistic regression, GAM, & time series forecasting to create a demand forecasting plan to minimize stock wastage • Worked on implementing a Hadoop cluster using Hortonworks Hadoop Distribution and advising the client on a big data stack • Automated the entire data mining & data preparation process for a steel industry giant employing Hive, Oozie & Unix Shell scripts • Worked on forecasting demands using different self learning data models & creating scheduling roadmaps to ameliorate the supply chain process for a manufacturing giant • Developed various algorithms based on un-constraining techniques to analyze the true demand & create invoice datasets to enable better planning

• Worked alongside the PLD Pod analyzing sources of business for various clients with real time feeds • Created a sales & marketing roadmap for effecting targeting of customers based on profile & other buckets for a fortune 100 company employing R modeling tool and Oracle SQL Developer • Created a dynamic sales compensation plan with seasonal arrays aimed at predicting true impact values of the sales force

Managing product sales for South-India, handling and fostering client relationships.

Worked as a 'sergeant at arms' for Toastmasters, handling session planning & logistics for the same