Headline

Staff Applied Scientist at Procore, Ex-Samsung, Uber

About

I have completed my Masters in the field of Computer Science (Data Science) at the University of Texas at Dallas. I have oriented my coursework seeking specialization in Data Science. I have completed my under graduation in Computer Science and have an IT experience of 3 years in Mindtree Limited. My technical skills include proficiency in languages like C, C++, Java, SQL, Python, PHP, Lucene, Scala, Numpy, Pandas, Graphlab, OpenCV, HTML, CSS and Javascript. I have worked with toolsets including Oracle DB, MySQL DB, Microsoft SQL Server, Anaconda and Azure. I have taken courses like Big Data Management and Analytics, Machine Learning, Information Retrieval, Video Analytics, Semantic Web and Implementation of Advance Data structures and Algorithms. To gain more knowledge in the field of Big Data and Machine Learning, I am actively doing independent projects. Currently I am working with Uber.

Location

Bengaluru

AI stack

claude code

codex

cursor

gemini

hugging face

notebooklm

Work experience

Senior staff data scientist at Warner Bros. Discovery, Aug 2026 - Present · 2 mo, Bangalore

Staff Machine Learning Engineer at Planview, Inc., Jan 2026 - Jul 2026 · 6 mo, Bangalore

STAFF APPLIED DATA SCIENTIST at Procore Technologies, Aug 2024 - Nov 2025 · 1 y 3 mo, Bengaluru, Karnataka, India, Developed a model for the construction domain to assist businesses and Procore in defining project paths and accurately tagging project costs. Defining the Ground Truth: Created a model to match various data sources, enabling a deeper understanding of the value of different clients and projects in the market. Generating Synthetic data for model training and parameter gauging. Designing and Developing models to estimate value of the customers and their hold in domain. Designing pipeline to clean and capture relevant information for improving prediction capabilities.

SENIOR CHIEF DATA SCIENTIST at Samsung R&D Institute India - Bangalore, Nov 2021 - May 2024 · 2 yrs 7 mos, Bengaluru South, Karnataka, India, Generated innovative data models to predict consumer behavious and enhance demographics, contributing to increased engagement and conversion rates for Samsung's Ads Platform team. Ads Platform team to generate insights from post advertisement results Utilized Samsung devices, cookies, and additional data points to capture the intricate relationships between TVs and other devices. This comprehensive graph enables us to gain deeper insights into consumer composition, facilitating more precise targeting strategies for our customers.. Using ML and GL to understand the consumer behavior and helping customer to better personalize the ads Integrated Samsung TV viewership data with mobile installation records to capture comprehensive consumption behaviors and accurately predict the demographics of consumers Researching on different ML algorithms to understand demographic, choices and habits of our consumers. Personalizing ads campaign for consumers. Enhanced Samsung's ad conversions by integrating cutting-edge demographic analysis techniques.

SENIOR APPLIED DATA SCIENTIST at Tookitaki, Feb 2020 - Sep 2021 · 1 yr 8 mos, Bengaluru, Karnataka, India, Conduct in-depth analysis of customer transaction data and identify patterns and trends to further improve anomaly detection and fraud prevention strategies, ultimately safeguarding financial institutions from potential risks and threats. Anti-Money Laundering Feature Engineering Anomaly Detection Graph Anomaly Fraud detection Customer scoring. Research and developed a graph network for customers of the bank. Designed the end to end process for risk scoring. Designed the synthetic Data Generation for model building.

Data Scientist II at Uber, Apr 2019 - Jan 2020 · 10 mos, On-site

Data Scientist at Uber, Jul 2017 - Apr 2019 · 1 yr 10 mos, San Francisco Bay Area, Eats Media Mix models o Leading budget allocation to Eats Marketing channel in millions of dollars for Asia Pacific region. o Working across cross functional teams to define the metric to measure the performance of marketing spend on eaters. o Describing the geo regions which would help the model performance. o Building cost curve for each channel. o Incorporating the experiment results in the model. o Forecasting the KPI depending on the curve. o Simulating conversion scenario. Different scenario to suggest the future spend and KPI goals. Rider Media Mix models. o Lead budget allocation among marketing channels of millions of dollars for US and Canada region in close collaboration with Marketing Managers. o Working across cross functional teams to define the metric to measure performance of marketing spend on rider. o Building cost curve for each city and each channel. o Incorporating the experiment results in the model o Build the Rider Media Mix Model to analyze marketing spend for budget allocation. Fiscal Planning model o Lead budget allocation and planning of all Uber marketing budget among global regions in close collaboration with Finance Data Science and decision making o Generate cost curve for each planning unit for all region in Uber. o Working across cross functional teams to manage process of getting the cost curve for all process. o Generating different KPI metric to measure the regional performance. o Collaborating with finance in setting marketing spend targets. o Build rigorous data pipeline and quality check pipeline along with model validation. o Developing different visualizations to incorporate model efficiency and accuracy.

Data Scientist Intern at Uber, Feb 2017 - Jul 2017 · 6 mos, San Francisco Bay Area, o Forecasting number of trips using time series or graph matching model. (ARIMAX, ARIMA, Prophet, Holt Winter). o Developed unsurged fare forecasting (ARIMAX, ARIMA, Prophet, Holt Winter). o Worked on unsurged fare calculation and improved the forecasting model. o Developed a model of distance and time model to forecast driver fare and hence forecast GB value. o Developed cost curve model to optimize gross booking. o Worked on ROI of Green Light hub.

Data Scientist at Verizon Wireless, Jan 2017 - Feb 2017 · 2 mos, Irving, Texas, 1. Created 3 dashboard within 2 weeks of joining on various KPI. 2. Designed initial version of the review categorization and working on it to modify the accuracy.

Education

Master of Science (MS), Computer Science, The University of Texas at Dallas

Bachelor of Engineering (B.E.), Computer Science, Visvesvaraya Technological University