Summary
Overview
Work History
Education
Skills
Accomplishments
Affiliations
Certification
Timeline
Hobbies and Interests
Generic

RAYUDU PUJITHA

Bengaluru

Summary

Senior Data Scientist with 7+ years of experience delivering machine learning and AI solutions across gaming, sports analytics, and retail domains. Expertise in predictive modeling, NLP, deep learning, and experimentation frameworks. Proven record of improving ROI, reducing churn, and deploying scalable ML systems on AWS/GCP with measurable business impact.

Overview

8
8
years of professional experience
1
1
Certification

Work History

Senior Data Scientist

Head Digital Works (A23 Rummy)
07.2023 - Current
  • Developed ML Framework to plug in any ML model and deploy it on production
  • Build models to improve the journey of new users by predicting the high value users, nth purchase in first 30 days from the day of their conversion
  • Collaborated with stake holders to develop in-house Experimentation Platform to incorporate sampling & statistical evaluation methods for both offline and real time experiments. Created dashboards for experiment analysis conducted Power BI
  • Developing a Natural Language to SQL translation framework enabling product and retention teams to query in-house data warehouses.

Senior Data Scientist

Head Digital Works (Cricket.com)
02.2020 - 07.2023
  • Implemented algorithms to calculate teams, players ratings and some interesting features on the app like recent form of the player, best matchups using clustering algorithms, most impactful player in the match
  • Built regression models to get team level projections before and during the match for different formats like T20, ODI. All the processes are automated and runs on AWS EC2 instance
  • Ran campaigns on CT to improve user Engagement
  • The objective of the product is to show case the cricket in different perspective to users by taking the insights from the ML models and analysis. Hence increase the user engagement and provide some takeaways from the analysis to the teams directly, in a long run
  • As a lead, collaborated with different teams like Product/Editorial/Tech teams to develop/improve the various features and assigned priorities. Led many design discussions to deploy the models in the production.

Senior Data Scientist

Affine Analytics – Bangalore
07.2017 - 01.2020
  • Built promo recommendation system improving campaign. Used KNN to get propensity of consumers to buy from various categories and predicted Average order value (AOV) using RF- regression model, at user-promo level and assign offers for every user based on the AOV rank and business rules
  • Tested state of art model using Bi-directional LSTM and attention layers to get machine generated SQL query given the generalized question and schema of the data. Used WikiSQL data to train the model.
  • Predict the possibility of Law Suits from quarterly call records of publicly listed companies using NLP features. Mainly worked on data pre-processing and extracted features from unstructured text files to identify complexity, modality, sentiment using python packages and financial dictionaries. Used PCA for dimension reduction and build binary classification model using XGBOOST to predict the events
  • Implemented deep learning architecture (PSPNet) to identify the type of land scape in the vicinity of a given geo-location to assess the risk from any Natural or Man-made disaster. Worked mainly on pre-processing, augmenting images and fine tuning the model and performed out sample validation using metric such as precision, recall and intersection over union

Education

B. Tech (Hons.) - Electrical Engineering

Indian Institute of Technology
Bhubaneswar
01.2017

Class XII - undefined

Narayana Junior College
01.2013

Class X - undefined

Aditya Public School
01.2011

Skills

  • Programming: Python (Pandas, Scikit-learn, TensorFlow, PyTorch, NLTK), R, SQL, Matlab
  • ML/AI: Ensemble Methods, Clustering, Deep Learning (CNN, LSTM, Image Segmentation, LLMs), Recommendation Systems
  • MLOps & Cloud: MLflow, Docker, AWS SageMaker, GCP BigQuery
  • Business Analytics: A/B Testing, Churn Analysis, Purchase Prediction, Customer Segmentation

Accomplishments

  • New Player Journey - Increased Rake Per Player by 14% by predicting early VIP's with Recall and Precision of >70%
  • A/B Experimentation Framework → Delivered 2-5% uplift in campaign effectiveness
  • ML Plug-and-Play Framework → Reduced model deployment cycle by ~60%

Affiliations

  • Applied Machine Learning in Python – Coursera (2018)
  • Natural Language Processing – Coursera (2021)
  • Biomedical Signal Processing – NPTEL (2022)
  • Introduction to AI – NPTEL (2022)

Certification

  • Python Data Structures, Using Databases with Python, Applied Text Mining, (COURSERA)
  • Introduction to Data Science in Python, Applied Machine learning in Python (COURSERA)
  • Natural Language Processing (Udemy)

Timeline

Senior Data Scientist

Head Digital Works (A23 Rummy)
07.2023 - Current

Senior Data Scientist

Head Digital Works (Cricket.com)
02.2020 - 07.2023

Senior Data Scientist

Affine Analytics – Bangalore
07.2017 - 01.2020

Class XII - undefined

Narayana Junior College

Class X - undefined

Aditya Public School

B. Tech (Hons.) - Electrical Engineering

Indian Institute of Technology

Hobbies and Interests

Badminton, Music, Cooking, Solving Puzzles

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