PROFESSIONAL SUMMARY:

Versatile Data Science professional and team player with experience to combine data mining techniques through software development (SDLC). Creative thinking and problem solver with technical know-how of predictive simulations and data analytics possessing sound knowledge of machine learning methods and algorithms.

Strong and hands on experience with large sets of structured and unstructured data and design of ETL processes to generate statistical and analytical report enabling strategic decision making process.

Proven track record in translating scientific and business needs into technical components and required computing and storage specifications.

Excellent at data cleansing, feature selection and algorithm design to run data analytics over suitable metrics.

Solid and Proficient knowledge in developing software to use statistical methods for regression, classification and clustering algorithms or machine learning to extrapolate variables for predictive analytics.

Hands-on at creating normalized data models for relational database management system to be implemented within software application.

Excellent at multi-tasking and communications with teams possessing varied technical/non-technical skills and background.

Education:

BS- Statistics, Math

MBA- International Finance Edith Cowan University

Certification: Data Analytics from George Washington University

Technical Qualifications

• Development/Database: VBA, Python, R-programming, HTML/CSS, Java Script, JSON Postgres SQL, SQL Server, HTML/CSS, Spark, Jupyter notebook, Version Control: Git, SVN, Google Colab, Pyspark, MongoDB

• Visualization/Data processing: Tableau, Seaborn, Matplotlib

Added Skills:

• Scientific Computing and Machine Learning (NumPy, SciPy, SciKit-Learn, TensorFlow, Keras, Theano, NLTK, Word2Vec, SpaCy, pandas, Flask, Plotly), OpenMP

• Operating System: Windows • Tools: Jira/ HP ALM

Professional experience

Boeing, Washington Dc

Data Scientist (Aviation, Research and Analytics) Oct 17- till date

Supervised data analyst team and responsible for designing, testing, and supporting server-based application based on establish business requirements and specification in order to deliver highest business values.

•Collected, cleansed, provided data modeling and analysis of structure and unstructured data used for major business initiative.

•Lead internal team project management, plan/track delivery schedule, monitor tasks completion and issues, and inspire communications dynamics.

•Monitored cross-team efforts to create a new application implementing principles of machine learning (ML) and natural language processing (NLP) for entity extraction based on diagnosis type and treatment plan from real-world unstructured head counts and operation data from database.

•Extensive experience on end-to-end data science project life cycle from use case, data collection, data exploration, model building and deployment.

•Conducted impactful analysis characterized based on data integrity and transparency and supported by accurate documentation and clear communication.

•Identified, measured recommended improvement strategies for KPIs across all business area.

• Identified opportunities for business growth, efficiency and automating the business process.

•Evaluated KPIs to identify trends and evaluate the success of business initiatives, created models and reports to demonstrate observations and clear communicate recommendation to senior management.

•Developed and updated automated pipelines to ensure data integrity and delivery of semi-finished and finished data products to internal and external customers and end users.

Cargill, Harrisonburg- VA

Sr. Data Analyst(Operation) Oct 2015-Oct 2016

Coached peers to define, implement, and maintain statistical quality control metrics and methods to monitor and assess the quality and integrity of data within the production repository.

•Sparked clear communication with both technical and non-technical audiences regarding data infrastructure, maintenance, and enhancement of reporting activities.

•Partnered with business users to equip them to self-service analytics capabilities.

•Took initiative to handle multiple tasks simultaneously including planning, evaluating, and tracking test results to ensure system application were free from the defects.

• Utilized web scraping and data mining techniques to extract and organize the data.

• Doubled the reporting process using cutting edge Data Science techniques and methodologies.

• Proposed solution to improve system efficiency and reduce total expenses

Utilize web scraping techniques to extract and organize competitor data.

Hewlett Packard, Alexendria, VA

Sr. Reporting Analyst, April 2015 – Sep 2015

Owned and managed pre-production and production Tableau servers to maintain server and dashboard deployment activities and provide access for privileges users.

Designed and build supervised machine learning model to predict the sales turnover and comparing the outcomes using Logistic regression, Random Forest, Support Vector Machine and Boosting algorithm.

• Facilitated Design session with client, translate functional design for visual presentation incorporating client feedbacks.

•Analyzed and processed complex data sets using advanced querying, visualization, and analytics tools.

•Supervised data analyst team responsible for designing and supporting server based on established business requirement and specification so as deliver highest possible business value.

• Identified, measured, and recommend improvement strategies for KPIs across all business areas.

•Implemented measurements and documentation framework all project work.

•Developed logical data that supports project requirement and guides colleagues in appropriate and effective use of data.

•Used predictive analytics such as machine learning and data mining techniques to forecast company sales, defects, head counts and production cost with a 93 % accuracy rate.

Capital One, Bethesda MD

Reporting / Data Analyst, May 2012- March 2015

Developed and maintained business requirement and upgrade current modules within the solution and defining data standards and SOPs. Conduct impact analysis for any change requests on different modules and overall solutions.

•Participated in production implementation, verification and was acceptable for validating system quality.

•Developed ETL for data sources used for reporting by sales, inventory, and marketing departments.

•Developed data models, defined key metrics, monitored indicators and business logic utilized by the company while partnering with departmental stakeholder to design and create useful information.

• Designed, coded, tested, and debugged custom queries using SQL reporting services.

• Coordinated and managed Data Analytics activities with stakeholders.

• Interpreted and translated analytics outputs into insights.

• Peer reviewed other Data Analysts work.

• Used advanced Excel functions to generate spreadsheets and pivot tables.

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