SUMMARY:

• Result - focused, motivated, adaptive team player with strong analytical problem solving, communication and organizational skills with 2.5 years of experience in data analytics, 4 years of experience as software developer and team lead. A business minded data scientist who can create and absorb new ideas for communicating clearly and effectively.
• An expert in translating complex data into actionable insights.
• Experience with solving analytical problems through data exploration and data mining.
• Significant experience in discovering business narratives told by the data and present them to stakeholders at various levels.
• Created (train, test, run) predictive models, time series models, clustering and segmentation models using SAS E guide and SAS E miner.
• Created interactive visualizations, dashboards, advanced analytics reports to adequately narrate insights and actionable recommendations that have material impact.
• Significant experience with statistical methods like regression, classification, sampling, ANOVA, z-test, t-test and dimension reduction.
• Developed process to extract data from client database, transform into required format and load for dashboard visualization and statistical modelling.
• Designed data dashboard for public facing website coordinating between the business and the back-end development team.Experience with recommendation system development, text analytics.
• Good understanding of machine learning algorithms like K- nearest neighbour, Neural networks, Support vector machines.
• Good knowledge of MSSQL and MySQL.
• Experience with working in Financial and Education industry.
• A strong team player with excellent communication, interpersonal and social skills with the capability of working solo while delivering the best.

TECHNICAL SKILLS:

Tools: SAS E-guide, SAS E-miner, Tableau, Excel, Vida.io, Gephi, Mallet, Arcgis, Azure ML studio, Google Cloud Platform for machine learning.

Programming: SAS, R, Python, SQL

Algorithms: Regression, Decision Trees, Forecasting, Clustering, Segmentation, Bagging, Boosting, Random forests, Na ve Bayes, Nearest Neighbour, Neural networks, Support vector machine.

Processes: Data mining, Classification, Collecting, cleaning and transforming data, visualization.

MS Tools: MS Office, Excel, One note.

PROFESSIONAL EXPERIENCE:

Sr Analyst

Confidential, Charlotte, NC

Responsibilities:

• Created a multi-campaign report format that measures ROI using SAS, excel and tableau. It comprises of SAS programs, tableau dashboards, excel formulas and excel reports. All these tools come together to create a monthly report (semi-automated) on marketing campaigns which is then shared with managers and directors.
• Created a procedure for determining control group for the measurement of ROI for a marketing campaign using SAS programming.
• Created forecasting models to determine customer behaviour in proposed marketing campaigns using SAS, R and Tableau.
• Developed ad-hoc analysis to answer business questions raised by different operational teams using SAS, tableau and R.
• Analysing consumer behaviour for marketing decision making using segmentation models.
• Data collection, validation and transformation for further analysis.
• Population and process development for marketing campaign.

Lead Analyst

Confidential, MD

Responsibilities:

• Capture application data requirements and design including Logical modeling using the Dimensional Modeling techniques such as Star Schema and Snowflake Schema.
• Architected various dashboards for Kenton County, Kentucky by mapping data elements to attributes, facts and metrics and establishing relationships among objects using Tableau.
• Managed periodic schema changes in the Data Warehouse. This task included updating the data model, generating Excel Pivot tables, and CSV data extracts and coordinating and working with DBAs to apply system changes.
• Developed various ad-hoc dashboards and reports as requested using Vida.io (d3.js based product)
• Collect K12 district data from various public sources, analyse, format and load into MySQL database using HeidiSQL and Excel Pivot tables.
• Coordinate with development team on dashboard design, data model building and ETL.
• Developing documentations and presentations for client and internal purpose.

Senior System Engineer

Confidential

Responsibilities:

• Migration of iBatis.Net based application to Infosys.
• Communication with client (Avery Dennison) and vendor (China).
• Software development and .Net based web application management for British Petroleum using Visual studio.
• Real time issue resolving on web application (ASP .net).
• Self, peer unit testing, integration testing and non-functional testing of the application.
• MSSQL database maintenance and reporting
• Developing reporting application using Crystal reports.
• Interactive visualization to give insight on global terrorism after collecting, cleaning and analyzing worldwide data using tableau, D3 and mongodb.
• Forecasting for Walmart stores using time series analysis and regression techniques..
• Developed a price recommendation system design for fine art in an art selling website using Weka tool.
• Classification of hotel images (2 GB) into different categories using image processing and machine learning.
• Developed innovation strategy formation for a pharma giant using Hadoop, text analytics and market research.