Data Scientist Resume

SUMMARY

2 years 6 months of experience in Data Science, Data Analytics, Big Data, Python, Scala, Java and SQL. Proficient at building robust Machine Learning models, Deep Neural Networks, Convolution Neural Networks(CNN) models using Keras API.
Adept inanalysing large datasets using Apache Spark, Pyspark, Spark ML.

TECHNICAL SKILLS

Big Data Technologies: Spark SQL, Hadoop 2.0, Map Reduce 2.0, HIVE, PIG, Zeppelin, Sqoop, Kafka, Avro.

Programming Languages: Python, JAVA, SQL, R, SCALA

Web Technologies: HTML5, CSS, JavaScript, D3.js.

Operating Systems: Linux, Unix, Windows Systems.

Tools: Tableau, Microsoft Office, Microsoft Power Point, Microsoft Excel, JIRA, SAS Enterprise Guide, Hortonworks, R Studio.

Databases: MySQL, HBase, MongoDB

PROFESSIONAL EXPERIENCE

Confidential

Data Scientist

Responsibilities:

Constructed machine learning models using Linear Regression, Logistic Regression, k - NN, K-Means Clustering, SVM, Decision Tree, Random Forest algorithms.
Performed Statistical analysis, data analysis, data aggregating, data modelling, data wrangling, data cleaning on large datasets.
Derived useful business insights from HMHCO ecommerce website events datasets, and analyzed data using NumPy, Pandas, SciPy, Sci-kit learn python modules.
Carried out data Pre-processing, Data Visualization, Feature Scaling, Feature extraction, and Feature Engineering, hyperparameter optimization tuning, confusion matrix, PCA, Dimensionality Reduction.
Exploratory data analysis, statistics and analysis using Python, R.
Experience working with SQL transactions, Triggers, Stored Procedures, RDBMS.
Worked on data pipelines, collecting and ingesting data into HDFS or HBASE storage and then transforming data using Spark, Hive to process analytical queries and get insights.
Built robust classification and regression models using Spark MLlib.
Familiarity with unsupervised, supervised learning methods, Natural Language Processing, NLTK, Data Structures, IPython Notebook, advanced analytics and predictive analytics, web analytics, Adobe Analytics (Omniture SiteCatalyst), Git, GitHub.
Worked on RDD’s, Spark Streaming for analysing data streams in near-real time, Data Frames, Spark SQL API.
Created Spark clusters using AWS EMR and S3 for data storage.
Created tables in MySQL, filtered, grouping and aggregations, queried from multiple tables using joins.
Involved in working with a POC for analytics using spark with NoSQL database Cassandra.
Worked on Product Recommendation System using item-based collaborative filtering.
Integrated Tableau with Hive, MySQL for analyzing data visualizations and created visualizations using Matplotlib, Seaborn packages.
Followed Agile Methodologies for project and reported daily status through scrum meetings, JIRA dashboard and documented in Confluence.
Familiarity with Excel Macros and advanced in working with Microsoft Excel.
Experience working with SAS Enterprise Guide for data mining.
ETL using Hive Scripts, bash scripting and used Flume for transferring unstructured data web logs to HDFS.
Implemented MapReduce jobs for data processing large datasets.
Created Business Reports and reporting using Pivot Tables.

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