Research Developer Resume

OBJECTIVE

Data Science graduate with work experience as Research Developer, Business/Data Analyst, and Big Data developer looking for full - time and contracting job opportunities. Strong knowledge of Big Data technologies, Statistics, Machine learning algorithms, Business and Data Analysis.

SUMMARY

2+ years’ experience and knowledge in Data science.
Proficient knowledge of Statistics and Data analysis.
Experienced in Descriptive and Predictive Analytics.
Good Business understanding, Data Understanding, Data Preparation, Modelling, Evaluation, and Deployment.
Experienced in Data Modeling, Data Visualization, Data Blending, Data wrangling, and Reporting.
Experienced in gathering and documenting business, functional requirements from business users through facilitation techniques.
Experienced in creating user stories by using JIRA, designed and developed Use Cases, Activity diagrams, Sequence diagrams, Swim lane, UML diagrams, AS-IS and TO-BE business process flows using MS Visio.
Experienced in Software project life cycles (Agile & Waterfall) and management.
Knowledge of Data Warehousing and Business Intelligence.

TECHNICAL SKILLS

Programming Skills: Python, R, Scala, Java, SQL, HTML, CSS

Big Data Technologies: Hadoop MapReduce, Spark, Hive, Pig, MongoDB.

Machine learning Algorithms: Linear Regression, Logistic Regression, SVM, LDA, Neural Network (Deep Learning), K- Means clustering, K-Nearest Neighbor, Naïve Bayes, and Decision Tree.

Analytics and Visualization Tools: Tableau, Power BI, SAS Enterprise Miner, R, MATLAB, Rapidminer, Weka, SPSS, SSAS, SSRS.

Other tools and comfortable Packages: JIRA, Pandas, Numpy, Shiny, Scipy, Scikit, OpenCV, Sklearn, CUDA, VMware VM’s, Anaconda Continuum etc.

PROFESSIONAL EXPERIENCE

Research Developer

Confidential

Responsibilities:

Developing new educational software tools, Artificial Intelligence and Machine Learning solutions.
Implementing algorithms to perform statistical analysis tasks and uses existing tools to visualize, extract and transform data.
Working with Microsoft Azure and Amazon AWS services.
Collaborating with departments to develop PowerBI and Tableau reports, dashboards.
Collaborate with account managers to ensure data is accurate.
Engaging in data management and data analysis projects.
Analyze large-scale datasets on a diverse range of projects.

Business/Data Analyst

Confidential, MN

Responsibilities:

Facilitated meetings to gather and document business and functional requirements for 5 different projects.
Facilitated Story Boarding and Data mapping sessions to capture reporting requirements.
Created AS-IS and TO-BE process flows for Gap Analysis.
Generated Ad-Hoc reports.
Tracking and maintaining the project timeline.
Created customized reports and dashboards for clients using tableau.

Big Data Developer and Data Analyst

Confidential, St Paul, MN

Responsibilities:

Generated Spark and Python applications for ETL processing, Data Wrangling, and Data Analysis.
Creating visualization dashboards using Tableau, PowerBI, and R+Shiny.
Trained Machine learning models for Object and Face Recognition.
Real-time Class Video Emotion Analysis:

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