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
PayPalJan, 2024 - Present2 yr 4 months
Lead Product Analyst @ EXL
EXLSep, 2021 - Jan, 20242 yr 4 months
Lead AI/ML Ops Engineer
EXLMultilingual 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
UberApr, 2019 - Sep, 20212 yr 5 months
Data Scientist/ ML Engineer
LatentView AnalyticsJul, 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
CognizantSep, 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
CognizantArranging the webinars with the Business Leads and getting connected with the folks for the feedback on the event
Data Analyst Intern
SymantecJan, 2015 - Jun, 2015 5 months
Big Data Developer
Trendwise AnalyticsJul, 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)