VANKADAVATH ROHITH SAI

AI Researcher

Hyderabad, Telangana, India3 mos experience

Key Highlights

  • Achieved 98% accuracy in machine learning models.
  • Increased user retention through targeted nudges.
  • Developed user-friendly applications for real-time data classification.
Stackforce AI infers this person is a Data Science and AI expert with a focus on user engagement and retention strategies.

Contact

LinkedIn

Skills

Core Skills

Product AnalyticsUser RetentionSegmentationUser ExperienceScalabilityMachine LearningSignal Processing

Other Skills

Product Analytics & InsightsBusiness Impact MeasurementFeature Engineering & SelectionPostgreSQLMicrosoft Power BIMicrosoft ExcelScikit-LearnKerasTensorFlowMatplotlibPandas (Software)NumPyMATLABC (Programming Language)Recommender Systems

About

Hello! I am Vankadavath Rohith Sai, a Data Science & AI Leader with a strong track record of transforming data into actionable insights that drive business growth. With expertise in advanced machine learning, predictive modeling, and user behavior analytics, I excel at delivering intelligent and scalable solutions that optimize profitability and efficiency. My experience spans across various domains, where I have successfully bridged the gap between business objectives and technical execution, ensuring that data-driven decision-making is at the forefront of product strategy. Throughout my career, I have developed deep learning and classical machine learning models, achieving accuracies of up to 98%. I specialize in product analytics and experimentation, utilizing A/B testing and funnel optimization to validate user incentives and enhance user engagement. My technical proficiency in tools such as Python, TensorFlow, and Power BI, combined with my strong mathematical foundation from IIT Guwahati, empowers me to create impactful solutions that resonate with business goals.

Experience

3 mos
Total Experience
3 mos
Average Tenure
--
Current Experience

Head digital works

Associate Data Scientist, L2

Jun 2025 – Sep 2025 · 3 mos · Hyderabad, Telangana, India · On-site

  • As an Associate Data Scientist, I conducted comprehensive funnel and retention analyses, comparing organic and paid user cohorts. My insights led to the identification of a significant gap in medium wager concentration, prompting targeted nudges to enhance user retention. I have designed and executed incentive experiments that resulted in notable uplifts in conversion rates and Day-1 retention.
  • Additionally, I developed an XGBoost-based segmentation model to flag low-retention users, identifying key drivers for recovery. My work also involves evaluating the scalability of matchmaking systems, successfully reducing wait times for low-stake games.
  • I have successfully increased retention rates through targeted nudges, achieving a 5.2% uplift
  • in conversion for organic users. My segmentation model has improved user recovery rates by identifying
  • critical factors influencing retention. Furthermore, I have optimized matchmaking systems, significantly
  • enhancing user experience by reducing wait times from over 20 seconds to just 6-7 seconds for low-stake
  • games.
Product Analytics & InsightsBusiness Impact MeasurementProduct AnalyticsUser Retention

Indian institute of technology, guwahati

Machine Learning Research Intern

May 2024 – Jul 2024 · 2 mos · Assam, India · On-site

  • During my internship at IIT Guwahati, I developed a convolutional neural network (CNN) for signal
  • processing, successfully classifying scatter plot images with an accuracy of 96%. By evaluating multiple
  • machine learning models and applying feature selection techniques, I improved the classification accuracy to 98%. I also deployed my findings into a Streamlit application, allowing users to upload datasets and interactively classify images in real-time.
  • My work led to a significant improvement in classification accuracy, showcasing my ability to
  • leverage advanced machine learning techniques. The deployment of my findings into a user-friendly
  • application demonstrated my commitment to practical applications of research.
Feature Engineering & SelectionMachine LearningSignal Processing

Education

Indian Institute of Technology, Guwahati

Bachelor of Technology - BTech — Mathematics and Computing

Aug 2021 – May 2025

TSBIE Board

Senior Secondary

Jan 2021 – Jan 2021

SSC Board

Secondary

Jan 2018 – Jan 2019

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