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Data Analyst Resume

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Hicksville, NY

PROFESSIONAL SUMMARY:

  • Extensive 4+ years of experience in Data Modelling, Analysis, Migration and ETL with specialization in Python, R studio, Tableau, SQL, SPSS, Scala and Big Data frameworks like Spark, Spark - Sql, Hive, Pig, Sqoop, Kafka.
  • Expertise in Hadoop eco system components HDFS, Ambari,Hive, Sqoop, Oozie, HBase and Pig for scalability, distributed and high-performance computing.
  • Expertise in writing the complex Hive and Impala queries.
  • Experience of converting HQL/SQL queries into Spark and Pig transformations using Spark RDDs and Pig Relations.
  • Developed Spark code and Spark-SQL for faster testing and processing of data using PySpark and Scala.
  • Hands-on experience of importing data from traditional databases in to HDFS and Hive using Sqoop and performing transformation using pig and spark for analysis and exporting results to tableau for visualizations.
  • Experience in working with both Streaming and Batch data processing with the help of Spark.
  • Experience in various machine learning algorithms like K-Means Clustering, Principal component analysis, XGBoost, Linear learner classification and regression.
  • Experience in using libraries such asPandas, Numpy, Scikit-Learn and Matplotlib in python, Spark-SQL, Mlib, GraphX in spark.
  • Experience in fetching and Monitoring data to identify KPI’s. Developed dashboards for based on KPI data to present data insights.
  • Experience in translating data insights into business objectives and decisions based on statistical analysis.
  • Well versed in various AWS application services like Recognition, Transcribe, Translate, Polly, Comprehend and Lex.
  • Expertise with Amazon ML Platform SageMaker and ML frameworks like Pytorch, TensorFlow and Keras.
  • Experience in web scarping using beautifulsoup in python for data collection and exploration.

TECHNICAL SKILLS:

Programminglanguages: Scala, SQL, Python

Databases: Oracle, MS SQL, PL/SQL,My SQL, HBase, MongoDB, Cassandra, Redshift, DynamoDB

Algorithms: Tableau, Python and R Studio HDFS, Sqoop, Hive, Pig, Oozie, Flume, Spark, Spark-sql Recognition, Transcribe, Translate, Polly, Comprehend and Lex, SageMaker, S3 Means Clustering, Principal component analysis, XGBoost, Linear learner classification and regression.

PROFESSIONAL EXPERIENCE:

Confidential

Data Analyst, Hicksville, NY

Responsibilities:

  • Developed a custom ETL workflow using Hive and Python for creating flat files according to the requirements of the online ecommerce portals like Amazon, Groupon, Wayfair, Walmart, eBay, etc.
  • Performed the various transformations on the data using Pig and Python.
  • Wrote complex SQL queries to join the tables and retrieve data for inventory management and inventory health reports.
  • Implemented the partitions and Buckets on Hive tables to improve the performance
  • Lead the Amazon US and International FBA inventory removal team. Reduced inventory processing time by merging amazon removal shipping details with internal database.
  • Lead the project for optimizing shipping times and cost. Utilized Spark’sGraphx library to determine geographical sales trends.
  • Optimized our website’s recommender system by using machine learning and AWS tools.
  • Created weekly and monthly dashboards on KPI monitoring, email and social media campaign reports, inventory health, trend report and sales reports using tableau.
  • Developed web scarping programs using python beautifulsoup library tocollect trend data and competitor data for price point analysis and search engine optimization.

Tools: and Applications utilized: AWS, Lambdas, SageMaker, Hive, Spark, Tableau, ETL, Python, SQL, Pig

Confidential

Research Assistant, Hempstead, NY

Responsibilities:

  • Gained experience in setting up a 6 node Hadoop cluster and performed various projects under the guidance of Dr. Kim.
  • Importing and exporting data into HDFS and Hive using Sqoop.
  • Successfully completed projects on city data for fire incidents and comparison of weather data and road accidents.
  • Gained hands on experience for implementing machine learning algorithms and various other statistical methods on spark and r studio for faster data processing.
  • Twitter sentiment analysis using pyspark and streaming using textblob, tweepy and scikit-learn libraries.
  • Developed a smart parking android application which allowed social interaction using MIT appinventor.

Tools: and Applications utilized: Ambari, Hortonworks Sandbox, Spark, Python, SQL, Sqoop

Confidential

Software Developer

Responsibilities:

  • Involved in all phases of SDLC including Analysis and requirement determination, estimation, design, development, and Unit testing.
  • Analyzing the Business requirements, understanding the specifications and scope of the requirements.
  • Responsible for the project planning, providing estimations and the development of WBS.
  • Designing and documenting technical solutions for the business requirements with the help of UML diagrams and state diagrams.
  • Developing client customized interfaces for various clients using CSS and JavaScript.
  • Performing the code review for peers and maintaining of the code repositories using GIT.

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