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Sandhya Selvamani
Bigdata/ML Engineer
About
Sandhya Selvamani is an experienced Big Data Engineer with a strong background in multiple branches of AI like Machine Learning, Deep Learning, and Data Engineering. With over 5 years of relevant experience, Sandhya has built highly accurate and optimized ML and DL models and has expertise in building CI/CD/CT orchestration pipelines for the models in MLFLOW. She has also built data pipelines in Streaming and Batch processing using Big Data tools like Spark, Scala, and Hive in Cloud and produces output in visualization tools like PowerBI and Tableau. Sandhya has a good understanding of DevOps tools like Docker, DVC, Kubernetes, and Git, making her an asset to any team. She is experienced in Big Data tools like Spark, Scala, Hive, Hbase, and also in cloud services like AWS EMR, Athena, Redshift, and Big Query. Her passion for finance has led her to follow financial news regularly. Currently working as a Data Science Analyst at Accenture, Sandhya has previously held positions as a Machine Learning Engineer at Tocode.ai and a Senior Data Engineer at Cognizant. Her technical stack includes ML, Data Scientist, AI, Python, Deep Learning, Spark, Data Engineering, AWS, Scala, Amazon Athena, CI/CD, Kubernetes, Docker, DevOps, and Apache Hive. Sandhya's expertise in Big Data and AI, combined with her passion for finance, make her a valuable asset to any organization. She is a dedicated and hardworking individual who is always eager to learn and grow in her field.
Education Overview
Companies Overview
• clairvoyant
• accenture
• tocode.ai
• cognizant
Experience Overview
7 Years
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Airflow
Algorithms
Amazon Athena
Amazon Elastic MapReduce (EMR)
Amazon S3
Amazon Web Services (AWS)
analytics
apache
Apache Airflow
Apache Hive
Apache Spark
Application Programming Interfaces (API)
architecture
Artificial Intelligence (AI)
Automation
AWS Lambda
AWS SageMaker
BERT
Big Data
Business Intelligence (BI)
CI/CD
Computer Vision
Convolutional Neural Networks (CNN)
DASH
Data Analysis
Data Analytics
Data Engineering
Data Migration
Data Modeling
Data Processing
Data Visualization
DAX
Deep Learning
Django
Docker
Git
Hadoop
HBase
HDFS
Hive
Information Technology
Java
Kafka
Kubernetes
Large language models (LLM)
Low Level Design
Machine Learning
Machine Learning (ML)
Machine Learning Algorithms
Microsoft Power Query
MLOps
Natural Language Processing (NLP)
NLTK
NoSQL
NumPy
Object detection
pandas
Pattern Recognition
Power BI
powerbi
Predictive Analytics
Probability
pyspark
Python
Python (Programming Language)
Pytorch
Sagemaker
Software Engineer
SQL
SQL Server Integration Services (SSIS)
Sqoop
Statistical Data Analysis
Statistics
Tableau
Tensorflow
UiPath
Yarn
Contact Details
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