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Data Scientist Resume

SUMMARY:

  • Around 10+ years of experience in analysis, design, Service delivery in Advanced Analytics, Cloud, E - Commerce, implementation and testing of various business applications and experience with statistical data analysis such as linear models, multivariate analysis, Statistical Analysis, Data Mining, and Machine Learning Skills.
  • Extensive experience working in various domains like Oil & Gas, information Technology (IT), Education, Retail.
  • Involved in the entire data science project life cycle and actively involved in all the phases including data extraction, data cleaning, statistical modeling and data visualization with large data sets of structured and unstructured data
  • Extensive hands on experience and high proficiency with structures, semi-structured and unstructured data, using a broad range of data science programming languages and big data tools including R, Python, Spark, SQL, SciKit Learn, Hadoop MapReduce
  • Designed and implemented statistical / predictive models Using Python, R, SAS, SAP HANA (Predictive Modeling), SPSS, WEKA
  • Experienced in 2.7/3.6 to manipulate data for data loading and extraction and worked with python libraries like Numpy, Pandas, Scipy, and Matplotlib for data analysis.
  • Experienced in writing complex SQL Quires like Stored Procedures, triggers, joints, and Sub quires.
  • Proficient in Tableau, UNICET data visualization tools to analyze and obtain insights into large datasets, create visually powerful and actionable interactive reports and dashboards.
  • Professional working experience in Machine Learning algorithms such linear regression, logistic regression, Naive Bayes, Decision Trees, Clustering, and Principle Component Analysis(PCA), ISOmap.
  • Solid ability to write and optimize diverse SQL queries, working knowledge of RDBMS like SQL Server 2008, NoSql databases like Cassandra and MongoDB3.2.
  • Worked with complex applications such as Python, R, SAS, Matlab and SPSS to develop predictive model for supervised data using Regression, Decision Tress, Random Forest, KNN, Logistic Regression Naïve Bayes, Support Vector Machine(SVM) and for unsupervised data using Principal Components Analysis (PCA) ISOMAP, K-Means.
  • Proficient in Predictive Modeling, Data Mining Methods, Factor Analysis, ANOVA, Hypothetical testing, Time Series, normal distribution and other advanced statistical and econometric techniques.
  • Skilled in System Analysis, E-R/Dimensional Data Modeling, Database Design and implementing RDBMS specific features.
  • Good knowledge of Hadoop architecture and its components like HDFS, MapReduce, Job Tracker, Task Tracker, Name Node and Data Node.
  • Good experience and knowledge with Impala, Sqoop, Spark, Pig, Avro, HUE, Oozie and Flume
  • Good knowledge and experience in Spark, Hive and Solr, Impala, HBase, Parquet, Mahout and MapReduce and python with Hadoop eco system and R scripts
  • Good Data Warehousing concepts including Metadata and Data Marts.
  • Experience using ETL methodology for supporting data extraction, transformations and loading process, in a corporate-wide-ETL Solutions.
  • Good understanding of Project Management methodologies like Agile and Waterfall
  • Extensive experience in project management best practices, processes, & methodologies including Rational Unified Process (RUP) and SDLC
  • Performed Gap Analysis, Root- cause Analysis, Impact analysis, SWOT analysis, Cost & Benefit analysis, Developed Tableau visualizations using dynamic sets, Parameters, Advanced Calculated Fields, Dynamic sorting, Filtering, Table Calculations, Parameter driven analysis

TECHNICAL SKILLS:

Programming Languages: Python, R, SQL, JAVA

ERP: SAP, Oracle, SQL Server, MySQL

Data Tools: Tableau, SAS, SPSS, MATLAB

Advance Analytics: Hadoop, MongoDB, NoSQL, Weka, Anaconda

Libraries: TensorFlow, SciKit-Learn, Pandas, NumPy, Forecast, Matplotlib, SARIMA, Scrapy, PyTorch, Dash etc.

Network Analysis: Ucinet, Gephi

Source Code Management: Git, Jira, Maven

Office: Word, Excel, Access, Power Point, Project

PROFESSIONAL EXPERIENCE:

Confidential

Data Scientist

  • Develop Database for online students and books
  • Prepare Business Intelligence Reports
  • Involved in the entire data science project life cycle and actively involved in all the phases including data extraction, data cleaning, statistical modeling and data visualization with large data sets of structured and unstructured data
  • Extract insights from data to help improve market share and profits
  • Automation of course work and examination, creating paper less environment

Environment: Python, R, SAS, Anaconda, AWS, Azure, Oracle PL/SQL, SQL Server, SQL BI Suite (SSIS, SSRS), Node JS, Java API, SharePoint, MS Visio, Microsoft Office Suite (Project, Word, Excel, PowerPoint).

Confidentia

Graduate Research Assistant

  • Confidential company data analytical, text mining, predictive analysis, forecasting and various research models
  • Analysis reports of graduate students
  • Manage and coordinate graduate admissions
  • Advise graduate students
  • Conduct New Student Orientations and Forums

Environment: Python, R, Anaconda, SAS, SAP, WEKA, Oracle 11i, AWS, Azure, Oracle PL/SQL, SQL Server, SQL BI Suite (SSIS, SSRS), Node JS, Java API, SharePoint, MS Visio, Microsoft Office Suite (Word, Excel, PowerPoint).

Confidential

Sr. Project Consultant

  • Preparing business requirements documents
  • Manage and coordinate all management, sales and engineering staff and activities.
  • Conduct market intelligence to determine market requirements for existing and future planning.
  • Prepare of requirement for new business processes, considering aspect of SAP best practices.
  • Business requirements, modeling, forecasting, budgeting and predictive analysis.
  • Agile implementation, complete SDLC.

Environment: UNICET, Tableau (Desktop/Server) 9.x/8.x, SAP, Oracle 11i, AWS, Python, Oracle PL/SQL, Toad, SQL Server, SQL BI Suite (SSIS, SSRS), Java API, SharePoint, MS Visio, Microsoft Office Suite (Word, Excel, PowerPoint).

Confidential

Business Intelligence Manager

  • Business requirements, Data Analysis, modeling, forecasting, budgeting and predictive analysis.
  • Provide SAP support in Master Data and pricing.
  • Manage and coordinate all retail, logistics and engineering staff and activities.
  • Manage forecast, schedule and plan the Distribution of products.
  • Provide business intelligence to top management.

Environment: SAP, Microsoft Office Suite, Microsoft Visio, ETL, MS Word, MS Access, MS Excel, MS Power Point, MS Visio, Windows 2010, SAS, Business Objects.

Confidential

Senior Territory Manager

  • Monitor the tactics of the competitors; communicate to concerned authority for further counteractive actions.
  • Collect Business Intelligence and prepare dashboards for analysis.
  • Manage supplies of retail outlets.
  • Prepare predictive pricing models for LPG bottlings industry.

Environment: SAP, Microsoft Office Suite, Microsoft Visio, ETL, MS Word, MS Access, MS Excel, MS Power Point, MS Visio, Windows 2009, SAS, Business Objects.

Confidential

Senior Territory In-charge

  • Prepare and execute promotional campaigns.
  • Manage supplies of retail outlets.
  • Prepare predictive pricing models for oil products.
  • Monitor the tactics of the competitors; present business intelligence reports to senior management.

Environment: SAP, Microsoft Office Suite, Microsoft Visio, ETL, MS Word, MS Access, MS Excel, MS Power Point, MS Visio, Windows NT/XP, SAS, Business Objects.

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