Data Science
Over 3 years of experience in manipulation, wrangling, model building and visualisation with large data
sets
An analytical and detail-oriented Data science professional with proven records of success in the
collection and manipulation of large datasets
Demonstrated expertise in decisive leadership and in delivering research based, data driven solutions
that move organizations’ vision forward
Highly competent at researching, visualizing, and analyzing raw data in order to identify
recommendations for meeting organizational challenges
Proven excellence in personal management and program development
Ability to perform Data preparation and exploration to build the appropriate machine learning
models
Proficient in Statistical Modeling and Machine Learning techniques in Predictive Analytics,
Segmentation methodologies, Regression based models, Hypothesis testing, PCA, Ensembles
Expertise in Machine Learning models like Linear and Logistic Regression, Decision Trees, Random
Forest, Naive Bayes, SVM, Neural Networks, K-Nearest Neighbours, clustering (K-means,
Hierarchical)
Implemented and practiced Machine learning techniques on structured and unstructured data with
equal proficiency
Experience with Data Analytics, Data Reporting, Ad-hoc Reporting, Scales, Pivot Tables
Ability to use dimensionality reduction techniques and regularization techniques
Highly skilled in using visualization tools like Matplotlib and Tableau for creating dashboards
Experienced working with Big Data tools such as Hadoop - HDFS and MapReduce, Hive, Sqoop, and
Apache Spark
Experience working with RDBMS such as SQL Server, MySQL and NoSQL databases such as HBase
Experience in importing and exporting data from different RDBMS like MySql and SQL Server into HDFS
and Hive using Sqoop
Good Knowledge about scalable and secure cloud architecture based on Amazon Web Services (AWS
cloud services: EC2, Lambda, and S3)
Strong communication skills with professional attitude and ability to take the pressures to drive with
enthusiasm to support with full potential
Skills & Abilities
Technical Skills
Programming language: Java, Python, Scala
Data Science: Pandas, NumPy, Scikit-learn
Big Data: Hadoop, Map-Reduce, HBase, Hive, Sqoop, Flume, Kafka, Spark
Data Visualisation: Tableau
Platforms: Ubuntu, Linux
Database: MySQL, SQL Server 2016
Methodologies: Agile, Scrum, Software Development Life Cycle (SDLC)
Experience
UNIVERSITY OF WASHINGTON
OCT 2018 – PRESENT
Database Developer
· Worked closely with all teams within the organization to understand business processes, gather
requirements, understand complexities and end goals to come up with the best plan of execution
· Created database objects like Tables, Indexes, Stored Procedures, Views, User Defined Functions,
Cursors and Triggers
· Assisted managers and business analysts in developing reports, presentations, and analysis for upper
management
Tools. Java, MySQL, SQL Server, Tableau
Projects
· Analysis of airline data
Tools. Hadoop, Hive, HBase, Sqoop, MySQL
· Developed model for predicting claims that have a high probability of being overpayment for an
insurance company
Machine Learning Technologies. Random Forest, Logistic Regression, Support Vector Machine, Naïve
Bayes, Model Evaluation using ROC curve, Model Selection using 10-fold cross validation and Grid Search Optimisation,
Education
PH.D. | 2018 | WICHITA STATE UNIVERSITY
· Major: Applied Mathematics
M.SC. | 2007 | UNIVERSITY OF SHIRAZ
· Major: Applied Mathematics
B.SC. | 2004 | UNIVERSITY OF KERMAN
· Major: Mathematics
References
Available upon request
Over 3 years of experience in manipulation, wrangling, model building and visualisation with large data
sets
An analytical and detail-oriented Data science professional with proven records of success in the
collection and manipulation of large datasets
Demonstrated expertise in decisive leadership and in delivering research based, data driven solutions
that move organizations’ vision forward
Highly competent at researching, visualizing, and analyzing raw data in order to identify
recommendations for meeting organizational challenges
Proven excellence in personal management and program development
Ability to perform Data preparation and exploration to build the appropriate machine learning
models
Proficient in Statistical Modeling and Machine Learning techniques in Predictive Analytics,
Segmentation methodologies, Regression based models, Hypothesis testing, PCA, Ensembles
Expertise in Machine Learning models like Linear and Logistic Regression, Decision Trees, Random
Forest, Naive Bayes, SVM, Neural Networks, K-Nearest Neighbours, clustering (K-means,
Hierarchical)
Implemented and practiced Machine learning techniques on structured and unstructured data with
equal proficiency
Experience with Data Analytics, Data Reporting, Ad-hoc Reporting, Scales, Pivot Tables
Ability to use dimensionality reduction techniques and regularization techniques
Highly skilled in using visualization tools like Matplotlib and Tableau for creating dashboards
Experienced working with Big Data tools such as Hadoop - HDFS and MapReduce, Hive, Sqoop, and
Apache Spark
Experience working with RDBMS such as SQL Server, MySQL and NoSQL databases such as HBase
Experience in importing and exporting data from different RDBMS like MySql and SQL Server into HDFS
and Hive using Sqoop
Good Knowledge about scalable and secure cloud architecture based on Amazon Web Services (AWS
cloud services: EC2, Lambda, and S3)
Strong communication skills with professional attitude and ability to take the pressures to drive with
enthusiasm to support with full potential
Skills & Abilities
Technical Skills
Programming language: Java, Python, Scala
Data Science: Pandas, NumPy, Scikit-learn
Big Data: Hadoop, Map-Reduce, HBase, Hive, Sqoop, Flume, Kafka, Spark
Data Visualisation: Tableau
Platforms: Ubuntu, Linux
Database: MySQL, SQL Server 2016
Methodologies: Agile, Scrum, Software Development Life Cycle (SDLC)
Experience
UNIVERSITY OF WASHINGTON
OCT 2018 – PRESENT
Database Developer
· Worked closely with all teams within the organization to understand business processes, gather
requirements, understand complexities and end goals to come up with the best plan of execution
· Created database objects like Tables, Indexes, Stored Procedures, Views, User Defined Functions,
Cursors and Triggers
· Assisted managers and business analysts in developing reports, presentations, and analysis for upper
management
Tools. Java, MySQL, SQL Server, Tableau
Projects
· Analysis of airline data
Tools. Hadoop, Hive, HBase, Sqoop, MySQL
· Developed model for predicting claims that have a high probability of being overpayment for an
insurance company
Machine Learning Technologies. Random Forest, Logistic Regression, Support Vector Machine, Naïve
Bayes, Model Evaluation using ROC curve, Model Selection using 10-fold cross validation and Grid Search Optimisation,
Education
PH.D. | 2018 | WICHITA STATE UNIVERSITY
· Major: Applied Mathematics
M.SC. | 2007 | UNIVERSITY OF SHIRAZ
· Major: Applied Mathematics
B.SC. | 2004 | UNIVERSITY OF KERMAN
· Major: Mathematics
References
Available upon request