As a highly motivated Data Scientist, my strengths include: ● Strong understanding of all phases of SDLC including analysis, design, implementation, and testing of web application ●Strong experience in Database design implementing RDBMS concepts and writing stored Procedures, User Defined Functions, Views, SQL ● Expertise in Python, Django, Flask, REST Web Services, and Kafka Messaging ● Experience in writing and handling SQL Queries, PL/SQL, Stored Procedures, and Triggers ● Experience in Amazon Web Services (AWS) and Cloud Infrastructure AWS : ELB, EC2, S3, Lambda, EMR, Glue, Athena, Redshift, RDS, DynamoDB, Rekognition, Cloudfront, Cloudwatch, Sagemaker, Azure, Data Bricks, ML flow, Auto ML, GCP Holding 3.5+ years of work experience in Software Engineering in providing Data Science/Machine Learning/ NLP features to scalable software solutions across domains. Used my skills to adapt and test new technologies in the process and operations of an organization. Gaining statistical and analytical skills in my master's program to emerge as a successful Data Scientist/Data Engineer. SKILLS Programming languages: Python, Pyspark, R, JavaScript; DBMS: MySQL, MongoDB Machine Learning: Statistical Modelling, Data mining, Time Series Analysis, Scikit-Learn Statistical Inference: Hypothesis Testing, Experimental Design, A/B Testing, ANOVA, ARIMA Data Science & Miscellaneous: Recommendation Systems, Collaborative Filtering, Search Personalization, NLP, Keras, Tensorflow, Spark, Hadoop, MapReduce, APIs, Airflow, BigQuery, Terraform, GCP, Azure, Docker, Kubernetes, DAG, Pipelines, ETL, ELT, Clusters ETL & Visualization Tools: Alertyx, Dataiku, Qlik, PowerBI, Tableau