We provide IT Staff Augmentation Services!

Data Scientist Resume

2.00/5 (Submit Your Rating)

CaliforniA

Hire Now

SUMMARY

  • 2 years of hands on experience and seeking a position as a Data scientist that provides a platform to utilize my skills and experience gained from educational background and hands on experience.
  • Strong computational background (complimented by Statistics/Math/Algorithmic expertise), a healthy portfolio of projects dealing with Big Data, solid understanding of machine learning algorithms, and with a love for finding meaning in multiple imperfect, mixed, varied, and inconsistent data sets.
  • Experience in Data Science with expertise in Descriptive, Inquisitive, Predictive and Prescriptive analytics.
  • Well versed in Linear/non - linear, regression and classification modeling predictive algorithms.
  • Extracted, cleansed and analyzed complex data from multiple sources to find useful insights via data analytics using Big data Hadoop, Hive, SQL.
  • Experience in writing hive scripts and shell scripting.
  • Worked on tuning, optimizing the performance of SQL queries.
  • Migrated data and scripts from SQL Server/Teradata to Hadoop.
  • Created dashboards as part of Data Visualization using Tableau.
  • Team player with logical reasoning ability, coordination and interpersonal skills.
  • Proficient in SQL and programming languages like C, C++, Java, Python.
  • Excellent written and communication skills.

TECHNICAL SKILLS

Statistics/Machine Learning: Univariate/Multivariate regression, Lasso, Ridge, Decision trees, Ensemble methods - Random forests, Gradient Boosting, ANOVA, Supervised learning, Unsupervised learning, Principal component analysis, K-Means, Hierarchical clustering, Bayesian learning, Support Vector Machine(SVM),Neural Networks, Time series Analysis, Feature selection and Linear programming, Recommender systems - collaborative filtering (user based, item based), Low rank matrix factorization, Natural Language Processing

Statistics/ML Programming/Programming: Python, R, Excel, Java

Databases/ETL/Query: Teradata, SQL Server, Oracle

Visualization: Tableau, ggplot2

Others: Hadoop, Hive, Spark, Sqoop, Pig, Hbase, Github, Jira, Agile

PROFESSIONAL EXPERIENCE

Confidential, California

Data Scientist

Responsibilities:

  • Understanding the business requirements and collecting the required data.
  • Performing cleaning of the data, treating missing values, outliers in Python.

Confidential, California

Jr Data Scientist

Responsibilities:

  • Developed a personalized recommender engine for the client Confidential The products are recommended to the user based on the user preferences (questionnaire taken by the user when entered the website).
  • The responsibilities involved are exploratory data analysis, modelling of the data. Used Excel for some part of the Data manipulation. Used python libraries such as Numpy, Pandas, Matplotlib, Scikit-learn.
  • Involved in the preparation of the technical documentation.
  • Built an affinity score matrix for the products and their corresponding questionnaire.
  • Extracted data from Teradata/Oracle to Hadoop using sqoop and migrated SQL/Stored procedures to Hadoop.
  • Developed hive scripts and spark applications using python.
  • Used classification algorithms such as SVM, KNeighborsClassifier and Random Forests algorithms. Build these models in python. This enables the user to engage better.

Confidential

Data Analytics Engineer

Responsibilities:

  • Extracted datausing SQL queries, cleaned, imputed missing values, and made the datasets ready for analysis.
  • Used pandas, Numpy, Seaborn, Scipy, Matplotlib, Scikit-learn in Python for developing various machinelearning algorithms.
  • Assisted in the development of customer segments using unsupervised learning techniques like KMeans clustering. The clusters helped business simplify complex patterns to a manageable set of 11 patterns that helped set strategic and tactical objectives pertaining to customer retention, acquisition, spend and loyalty.
  • Created visualizations summarizing key insights using Tableau.
  • Effectively communicated project status, risks, issues, and constraints to project management.
  • Investigated data from varied sources, cleaned, transformed and performed Exploratory Data Analysis(EDA) with visualizations.
  • Worked with other Business Analysts to ensure that business design is cohesive across all business areas impacted.
  • Developed and implemented Predictive analysis using R for Management and Business users for decisions making process.

Confidential

Software Intern

Responsibilities:

  • Assisted in maintaining records in the database satisfying the requirements of the user using Toad Application.
  • Worked for the mapping of data into database objects and ER diagrams, database designs and tables.
  • Involved in the development of the SQL scripts to Insert, Update and Delete data in MYSQL database tables.
  • Ensured the stable state of the database by providing the optimized solution to the issues raised by the users.
  • Enhancements are made on daily basis by expanding the database to meet the business requirements.

Hire Now
Report an issue

We'd love your feedback!

Privacy Policy
Resume Categories
Client Services
Job Seekers
Visa Sponsorship