Freelance Data Scientist Resume

PROFESSIONAL SUMMARY:

Confidential is a seasoned professional with 10+ years of industry experience.
She has successfully delivered many software development projects using Java.
After relocating to US, Confidential decided take up Data Science as a new area for career development.
Apply the data science process to a business problem including determining data requirements, exploring the data, and presenting actionable results and recommendations.
Supervised and unsupervised learning & Machine learning algorithms using python
Statistical inference and finding meaningful insights from Data
Data Visualization using MatplotLib, Sklearn, Scikit - learn
Database: Writing SQL queries, stored procedures, functions, import and export of databases, Hibernate
Predication and forecasting and time series analysis

TECHNICAL SKILLS:

Programming Languages: Python, Java, C, C++

Component Technologies: Web Services development and its testing using Junit, REST APIs

Scripting Languages: Java Script, VB script

WORK HISTORY:

Freelance Data Scientist

Confidential

Responsibilities:

Use of conditioning or faceting graphs in order to identify relationships between features of casino head count data and other features.
Found interesting relationships between features of casino head count data sets using different types of graphs, project multiple dimensions using conditioning or faceting (e.g. small multiples) on both categorical and numeric variablesI have used single and multiple regression algorithms to predict the selling price of homes in the Confidential data set.
This is an example of a supervised learning regression problem.
Additionally, I have explored the data using univariate and multivariate graphs, have found the interesting relationship of price and other features, performed linear regression, done fine tuning using PCA, done PCR using principle components, feature selection using forward selected method and regularization and fine-tuned regression algorithm using lasso, Ridge and elastic-net

Tech Lead

Confidential

Responsibilities:

Logistic Regression
K nearest neighbor
Decision tree
Support Vector Matrix.
Found accuracy measures and confusion matrix, done comparison of all models and chose the best fit model.

Tech Lead

Confidential

Responsibilities:

Done visualization, exploration of data and statistical analysis using bootstrap method, feature engineering to predict the price of an automobile having different features like fuel type, engine-size.
Use hypothesis tests to determine if the differences in pairs and multiple populations are significant.

Tech Lead

Confidential

Responsibilities:

Team Lead

Confidential

Responsibilities:

Collaborated with clients from concept through final delivery of product or service.

Team Lead

Confidential

Responsibilities:

Developed and implemented complex healthcare workflows for a big healthcare company in Java technologies
Lead a team of 8+ people