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Gaddam Siva Kumar

Data Analytics professional with 7 Years of experience in driving significant business impact by leveraging Machine learning with exploratory analysis and statistics to find patterns & trends in data.
  • Role

    Lead AI/ML Ops Engineer

  • Years of Experience

    27.33 years

Skillsets

  • Docker
  • Transformers
  • TensorFlow
  • Rnn
  • PyTorch
  • Palantir
  • MLFlow
  • ML Ops
  • LSTM
  • Looker
  • Kubeflow
  • Keras
  • Hadoop
  • GKE
  • GCP
  • Python
  • Cnn
  • Cloud Build
  • BigQuery
  • BERT
  • AutoML
  • Airflow
  • PySpark
  • NLP
  • Machine Learning
  • Hive
  • Google Analytics
  • Deep Learning
  • SQL
  • Tableau

Professional Summary

27.33Years
  • Jan, 2024 - Present2 yr 4 months

    Senior Data Scientist

    PayPal
  • Sep, 2021 - Jan, 20242 yr 4 months

    Lead Product Analyst @ EXL

    EXL
  • Lead AI/ML Ops Engineer

    EXL
  • Sep, 2015 - Jul, 20171 yr 10 months

    Data Analyst

    Cognizant
  • Jul, 2017 - Apr, 20191 yr 9 months

    Data Scientist/ ML Engineer

    LatentView Analytics
  • Apr, 2019 - Sep, 20212 yr 5 months

    Senior Data Scientist/ ML Ops

    Uber
  • Volunteer for Chubb day event and Outreach

    Cognizant
  • Jan, 2015 - Jun, 2015 5 months

    Data Analyst Intern

    Symantec
  • Jul, 2012 - Aug, 20131 yr 1 month

    Big Data Developer

    Trendwise Analytics

Work History

27.33Years

Senior Data Scientist

PayPal
Jan, 2024 - Present2 yr 4 months

Lead Product Analyst @ EXL

EXL
Sep, 2021 - Jan, 20242 yr 4 months

Lead AI/ML Ops Engineer

EXL
    Multilingual Comment Classification Using TPUs to identify toxicity in comments. Deployed classification model in GCP pre-production using Docker image. Used GKE for container management, load balancing, and recovery. Automated testing and deployment with Cloud Build. Created Looker Dashboard for model predictions. Implemented data drift detection and retraining using ML Flow and Cloud Functions. Developed and deployed demand forecasting models for PayPal support agents. Built data drift detection systems and data marts using Spark and Airflow for online agreements notifications. Conducted path analysis for customer journeys and developed dashboards for key metrics.

Senior Data Scientist/ ML Ops

Uber
Apr, 2019 - Sep, 20212 yr 5 months

Data Scientist/ ML Engineer

LatentView Analytics
Jul, 2017 - Apr, 20191 yr 9 months
    Jewellery SKU Forecasting for Pandora Jewellery using traditional and advanced ML methods, improving accuracy from 78% to 88%. Developed look-a-like modeling and clustering for new SKUs. Conducted funnel analysis to improve payment page conversion rate. Implemented rider growth optimization by reducing cancellation rates and increasing driver supply hours.

Data Analyst

Cognizant
Sep, 2015 - Jul, 20171 yr 10 months
    Built dashboards for Mexico End-User Insights with hourly refresh and drill-down capabilities. Assessed campaign metrics and performed exploratory data analysis. Developed SQL procedures and triggers for insurance underwriting data ingestion and movement.

Volunteer for Chubb day event and Outreach

Cognizant
    Arranging the webinars with the Business Leads and getting connected with the folks for the feedback on the event

Data Analyst Intern

Symantec
Jan, 2015 - Jun, 2015 5 months

Big Data Developer

Trendwise Analytics
Jul, 2012 - Aug, 20131 yr 1 month

Major Projects

3Projects

Complaints Toxicity Classification

    Machine Learning model to identify toxicity in online conversations using LSTM and Adam optimizer.

APAC Dashboard for WBR/MBR

    Developed dashboards for Region-wise KPIs hosted on Tableau and forums.

Funnel Analysis

    Analyzed payment page behavior to identify OTP issues; improved conversion rate by 2%.

Education

  • M.Tech in Data Science

    SRM University (2015)
  • B.Tech (ECM)

    JNTUA (2012)