Sarthak Biyani Email & Phone Number

California, United States

Boise, Idaho, US

Building in-house Data Applications for Audience Segmentation, Activation, and targeting, meeting all needs of segment creation insights like expected match rates, segment usage to targeting details like actual match rates, activation, ML Based Audiences, and Incremental Audiences in one place.Leading Identity Solutions for the Adtech team with initiatives.

Boise, Idaho, US

• Creating first party Audience Advertisement Targeting & Identity Solutions for Albertsons and its subsidiary companies like Star Market, Safeway, Lucky, FiveStar, Jewel Osco, Vons, Acme, Shaws, Market Street, etc under.
• Lead engineer on a team of 5 engineers in developing a scalable platform for audience segmentation, targeting, and onboarding on house website, app and, media platforms like Facebook, Pinterest, Google and, Trade Desk.
• Developed data pipelines to generate audience insights & display results on Power BI leading to 720K $ yearly cost savings
• Developed a scalable and low-cost data pipeline for processing and removing data for CCPA purposes used across teams
• Created data pipelines to calculate Basket Affinity representing customer’s tendency to show items bought together
• Developed an in-house Identity solution used for Audience Targeting comprised of multiple Identity data points like Email, Phone, Cookies, RampID, UID 2.0, Neustar ID, etc., used across multiple channels for running ad.

US

Honored as a member of Beta Gamma Sigma - the international business honor society for AACSB-accredited schools, which are the top 5% of business school programs around the world for being in top 1% academic students for the university in academic year.

Los Angeles, California, US

• TrueData is BigData based startup working in Mobile Advertisements.Worked on Audience Targeting & Identity Solutions in AdTech industry in collaboration with Product, Engineering and Customer Success TeamsAudience.
• Developed Propensity based Machine Learning models on various kind of Location Visits, App Install, Demographic and Transaction Data (IN STORE PURCHASE).
• Developed statistical model using engineered features, hyper parameter tuning, and predictive classification algorithm (lightgbm, Random Forest, Logistic Regression) on distributed cluster.
• Improved model accuracy by ~10%, compute time saving of 10X, and cost savings of ~$100K.
• Delivered data mining actionable insights to product, marketing, and technical leadership teamsIdentity Solutions
• Creating engineering solutions to ingest Identity Based Data, Create an overall Identity Graph of users.

Austin, Texas, US

• Worked in Ad-Tech in Audience Modeling and Measurement for Advertisement CampaignsStack - Sql, Python, Machine Learning, PostgreSQL, Spark, Hive, GitLabWorked proactively with cross-functional teams in Advertisement.
• Developed lookalike models to target similar audience based on online & offline consumer purchase data
• Designed experiments to measure marketing effectiveness & ROI by performing Hypothesis Testing for ads
• Performed ad-hoc analysis to identify grocery buying patterns for more than 140 million households using Hive
• Won second prize in hackathon for building an image classification model based on URL using Neural Networks

Los Gatos, CA, US

• Worked in Risk & Payment for user behavioral and payment transactional analysisStack - Sql, Python, Spark, Clustering Algorithms, Tableau
• Worked on fraud & risk detection of payment client, segmented fraud transactions using Clustering algorithms
• Developed ETL queries & performed Data Modeling in Redshift to perform EDA and explore flagged transactions
• Analyzed user-based data using SQL queries to identify fraud trends and improve thresholds for Machine Learning
• Built user dashboard to visualize clickstream data on Tableau dashboard and track performance over time

Indore, Madhaya Pradesh, IN

• Worked closely with Marketing & Customer success team to scale the performance of e-commerce startup
• Developed SQL queries to implement complex views for ETL purpose used to monitor high revenue products
• Analyzed shopping trends using SQL queries to improve thresholds reducing customer complaints by 15%
• Measured impacts of changes by designing experiments for A/B tests and conducting statistical analysis
• Identified key metrics and built executive facing Tableau dashboards to perform sales funnel analysis
• Designed A/B tests and conducted statistical & power analysis to measure customer retention, churn rates and increase customer engagement.

IN

The training provided me with the understanding of Power Plant and the backup system used for the telephone exchange. It taught me the basic design, protocols and elementary features required to generate the dialer tone. I was also familiarized by the backup system used by BSNL across the region. I was given opportunity to understand the whole working of.

Doctor Of Philosophy - Phd, Information Technology

Bachelor'S Degree, Electronics And Telecommunication Engineering

Associate'S Degree, Java

Associate'S Degree, Advanced Statistics & Probability

Education record

Master'S Degree, Big Data Analytics & Data Science