Summary
Skills
Work History
Education
Certification
Timeline
Generic

Raman Kishore

Senior AI/ML Engineer

Summary

Senior ML Engineer/ Data Scientist with 8+ years of experience designing, building and deploying end-to-end machine learning and deep learning pipelines. Specialized in MLOps, with a knack for building NLP systems with integration of big data and cloud computing for seamless model training, validation, deployment, and monitoring in production.

Skills

Pythonundefined

Work History

MLOps Engineer/Senior Data Scientist

Turing/Topcoder
05.2023 - Current
  • Product Incompatibility Model - Designed, developed and deployed of twin network based deep learning model using pre-trained BERT embeddings as encoder layer. F1-score more than 0.75 for product catalogue of major E-commerce firm.
  • Revenue Forecasting - End-to-end model development and deployment of Revenue Forecasting model for logistics giant. Utilized GBM for multivariate time series forecasting for different product families and regions.

MLOps Engineer/Senior Data Scientist

EXL Services Private
01.2022 - 04.2023
  • Led development and deployment of Incremental Customer Lifetime Value (ICLV) model for marketing team, enabling cross-selling and up-selling to existing 30 million customers. Spearheaded efforts to modularize and package code for production. Established standard model performance monitoring framework using Prometheus. Successfully deployed ICLV model as pyspark application hosted on Kubernetes cluster, ensuring scalability and efficiency.

Senior Data Scientist

Xceedance
09.2017 - 12.2021
  • First Term Loss Prediction - Built LGB Model for predicting risk of claim coming too soon, increasing underwriting efficiency by 30%
  • Notepads' Mining - Predicted risk in customer churn using conversations held during claims journey with XGBoost Model, giving AU-ROC of 0.80. Text conversations are converted to sentiment scores using pre-trained wor2vec representations fed into classification model
  • Bug Bot - Developed Early Warning System to detect anomalies in Time Series Loess regression was used to decompose time series and detect anomalies in noise component, giving action span of 7 days.
  • Mentored junior team members in advanced statistical modeling techniques, promoting professional growth and skill development.

Data Scientist

Cognizant Technology Solutions
09.2016 - 09.2017
  • Insurance Agents Analytics - Identifying "risky" insurance agents based on their performance & demographics using an unsupervised neural network of self-organizing maps (SOM)
  • Smart Policies: Blockchain - Designed working prototype of Smart Insurance Policy Contracts on Ethereum's Private Blockchain with gas cost of 18000+ Ethers for automating claims' initiation.

Education

Bachelor of Technology -

Indian Institute of Technology
Hyderabad
08.2012 - 05.2016

Certification

Data Science & Advanced Analytics- INSOFE

Timeline

MLOps Engineer/Senior Data Scientist

Turing/Topcoder
05.2023 - Current

MLOps Engineer/Senior Data Scientist

EXL Services Private
01.2022 - 04.2023

Senior Data Scientist

Xceedance
09.2017 - 12.2021

Statistical Learning - Stanford | Online

07-2017

Applied Machine Learning Professional - WILEY

12-2016

Data Scientist

Cognizant Technology Solutions
09.2016 - 09.2017

Data Science & Advanced Analytics- INSOFE

07-2016

Bachelor of Technology -

Indian Institute of Technology
08.2012 - 05.2016

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Raman KishoreSenior AI/ML Engineer