SAS Developer Resume

SUMMARY

10+ Years of experience in Data Science & Analytics Industry using DevOps methodology for faster iterations of requirements, design, development and then deployment
Worked as an individual contributor as well as managed the team of professionals and having technical expertise in areas like Machine Learning & Artificial Intelligence solution
Experience in building data science practice from scratch
Experience in enhancing the existing solution with the use of right scalable analytics techniques
Strong knowledge in developing, designing and implementing text mining models using Machine Learning & Deep Learning using CRF,CNN, BERT & LSTM methodology in Python
Extracting and predictive quality information from quantitative and qualitative data, Work automation and in presenting the result to technical/non - technical users
6+ Years of experience in mentoring data science interns

TECHNICAL SKILLS

Software: SAS E miner, SAS, R Studio, Jupyter, Spyder, H2O, Weka, Spark, AWS, Anaconda, Alteryx, Talend, Trifacta, Cloudera data science workbench

Languages: R, Python, BASH, SQL and SAS

Framework: Keras, TensorFlow, Computer Vision, Pytorch, NLTK, Pandas

Operating System: Windows 98/2000/7, Windows XP

Tools: Microsoft Power BI, Hive, Flask, Nginx, Bitbucket, PyCharm, Sagemaker, HTML, JSON, XML, REST, postman, Git, Jira, Anaconda, Eclipse, Linux, RASA, NLP, Docker, SparkML, Power BI and Gunicorn

AWS: S3, EC2, ELB, EFS, VPC

Databases: MySQL, PostgreSQL, NoSQL

PROFESSIONAL EXPERIENCE

Confidential

SAS Developer

Responsibilities:

Extensively worked in data Extraction, Transformation and Loading from source to target system using Python
Prepared the final text vectorised model data after doing feature engineering using Python
Created auto machine learning/ Artificial Intelligence model pipeline to get the final solution
Delivered the final deployable machine learning model as light weight web services
Involved in debugging and troubleshooting

Tool and Techniques : Implemented Ensemble of various ML & AI models in Python using Git, Jenkins, SkLearn, Keras & TensorFlow.

Confidential

SAS Developer

Responsibilities:

Created auto machine learning/ Artificial Intelligence model pipeline to get the final solution
Delivered the final deployable machine learning model as light weight web services
Involved in debugging and troubleshooting

Tool and Techniques : Python, REST API, Docker, Mark logic, MYSQL & Linux

Confidential

SAS Developer

Responsibilities:

Lead designing the Web GUI and the Load balancer was used to balance the HTTP requests
Involved in debugging and troubleshooting
Extensively worked in data Extraction, Transformation and Loading from source to target system using Python
Prepared the final model data after doing feature engineering using Python
Created auto machine learning pipeline to get the final solution
Delivered the final deployable machine learning model as light weight web services
Involved in debugging and troubleshooting

Tool and Techniques : Implemented Ensemble of various ML & DL models in Python using SkLearn, Keras, TPOT & TensorFlow.

We provide IT Staff Augmentation Services!

We'd love your feedback!

Resume Categories

Client Services

Job Seekers

Visa Sponsorship