SUMMARY

• A competent professional with 12 years of industry experience in Technical Consulting, Business Analysis, & Solution Architecture.
• Identified areas of improvement in existing business by unearthing insights by analyzing vast amount of data using machine learning techniques.
• Working with business units (partners) to identify, prioritize, clearly define and document analytical needs, while maintaining perspective on the ultimate KPIs of the company
• Utilized analytical applications like R, SPSS, Rattle, and Python to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into risk management and marketing strategies that drive value.
• Designed and implemented statistical / predictive models utilizing diverse sources of data to predict demand, risk and price elasticity
• Interpret problems and provides solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics
• Designed and deployed data science and technology based algorithmic solutions to address business needs for customer service business identify, understand and evaluate new commerce data technologies to determine the effectiveness of the solution and its feasibility of integration with all the product environment
• Conducted in - depth analysis and predictive modelling to uncover hidden opportunities; communicate insights to the product, sales and marketing teams
• Strong analytical and problem solving skills for solving the core issues underneath complexity and ambiguity. Excellent communication, analytical & troubleshooting skills

TECHNICAL SKILLS

Machine Learning: Classification, Regression, Clustering, Recommendation System, Association RulesOperations Research: Optimization techniques like Linear, Integer Optimizations etc

Statistical Methods: Hypothesis testing & Confidence Intervals, Principal Component Analysis, Dimensionality Reduction

Prog. Languages: R, Python, SQL, PL/SQL, COBOL

Technologies/Tools: Azure Machine Learning, SPSS, Rattle, Unix

Data Visualization: Qlikview, Tableau 8.0, ggplot2(R)

DBMS: DB2, IMS-DB, Oracle

PROFESSIONAL EXPERIENCE

Confidential, Charlotte, North Carolina

Data Scientist

Responsibilities:

• As additional insights identify interesting patterns that could help client understand the business better.
• Working with an advanced analytical team to design, build, validate and refresh data models
• Data Collection, Cleaning & Preparation.
• Applying statistical methods & Techniques
• Data quality assessment and preparation
• Identifying predictive variables
• Selection of statistical algorithms - (UCBF/SVD, CBF, Parallel/Pipeline/Monolithic Hybrid, Clustering, Naïve Bayes etc)
• Univariate and multivariate modeling
• Model validation/ Implementation
• Communicate complex quantitative terms to business stakeholders.

Environment: R, Machine Learning, Hadoop, Apache Spark, SQL, Qlikview etc.

Confidential, Charlotte, NC

Data Scientist

Responsibilities:

• Responsible for data identification, collection, exploration & cleaning for modeling, participate in model development.
• Identify additional data sources to augment the opportunities.
• Visualize, interpret, report findings and develop strategic uses of data.
• Developed analytics solutions based on Azure Machine Learning platform
• Exploratory analysis and model building to develop predictive insights
• Selection of statistical algorithms - (Two Class Logistic Regression Boosted Decision Tree, Decision Forest Classifiers etc)
• Demonstrated creative problem-solving approach and strong analytical skills
• Interacted with the other departments to understand and identify data needs and requirements and work with other members of the IT organization to Qlikview based deliver data visualization and reporting solutions to address those needs
• Responsible for provide reporting, analysis and insightful recommendations to business leaders on key performance metrics pertaining to sales & marketing
• Experienced in agile software development.
• Lead and participate in ad hoc special projects and other initiatives, as requested.

Environment: R, Machine Learning, Qlikview, SQL, Azure Machine Learning.

Confidential, Worldwide, NJ

Data Scientist

Responsibilities:

• Responsible for data identification, collection, exploration & cleaning for modeling, participate in model development
• Visualize, interpret, report findings and develop strategic uses of data.
• Understand transaction data and develop Analytics insights using Statistical models using Azure Machine learning.
• Selection of statistical algorithms - (Random Forest, SVM, Bagged CART, GBM etc)
• Interacted with the other departments to understand and identify data needs and requirements and work with other members of the IT organization to deliver data visualization and reporting solutions to address those needs
• Responsible for provide reporting, analysis and insightful recommendations to business leaders on key performance metrics pertaining to sales & marketing
• Knowledge of other relational database platforms such as Oracle, DB2, IMS-DB, NoSQL (Elastic Search) etc

Environment: R, Machine Learning, Qlikview, SQL etc

Confidential, IL

Programmer Analyst/Data Scientist

Responsibilities:

• Participated in analytics initiatives to improve operational efficiency by utilizing business insights so obtained to
• Reduce Train Derailments, Increase Train Shipments, Big Emission Reductions
• Improve Trip Building process for intermodal movement and cargo movement analysis.
• Worked on programs for evaluating the data analytics opportunities to improve the rail road operations monitoring & trip building processes.
• Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client’s data/ IT teams to resolve data issues
• Selection of statistical algorithms - (Random Forest, Decision Trees, Regression etc)
• Visualize, interpret, report findings and develop strategic uses of data.
• Help create and design reports that will use gathered metrics to infer and draw logical conclusions of past and future device behavior
• Reformulate highly technical information into concise, understandable terms for presentation to the team and the client
• Demonstrated aptitude for business problem identification, data collection and preparation, modeling, and problem solving
• Used data to produce business insights using visualizations.
• Write requirements for new analytic reports which will provide cross-functional support across business verticals
• Support business users on data discovery, experimentation, hypothesis testing and develop subject matter expertise on functional side of the business.
• Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective.

Environment: R, SPSS, Machine Learning, Tableau, ggplot, Rattle, Linux, Elastic Search, SQL, Kibana

Confidential, NY

Team Leader

Responsibilities:

• Facilitated communication between the business users/client team and team members to ensure proper understanding of requirements, quality and schedules
• Involved in meetings with business users as well as with different technical support teams.
• Member in Technical Review Board (Quality Assurance and Change management team for EDS). All solutions to change requirement requests are approved by TRB and only then moved to production.
• Created necessary status reports templates and other status tracking matrixes. Responsible for the timely status report as per the project requirement to maintain the project delivery line
• Prepared the user test cases scenarios on the basis of HLD, verified and documented in the test plan with business approvals.
• Prepared necessary change management request documents and ensuring the integrity of the changes till change management group moved the changes to production.
• Prepared different migration approaches for different types of programs based on their basic functionality.

Environment: Mainframes, DB2, IMS-DB/DC, HTML, SQL, Oracle 8i, XML

Confidential

Sr. Software Engineer

Responsibilities:

• Developed program specifications as per the change requirement.
• Gathering, Analyzing and understanding business requirements of the project/change requirement and converting them into functional and technical requirements.
• Involved in the preparation of high-level and low-level design document.
• Participated with teammates in various project related activities like
• Systems and User Acceptance Testing
• Integration testing across applications
• Production support activities with the support of the DBA's
• Solved the production problems and incorporated the lessons learnt into the knowledge management database.
• Generated test data from the production environment by using DB2 extraction utilities.

Environment: Mainframes, DB2, IMS-DB/DC, HTML, SQL, Oracle 8i, XML

Confidential

Software Engineer

Responsibilities:

• Involved in System analysis.
• Involved in Impact analysis to ensure ‘non-impact’ of fix on the overall process.
• Developed program specifications as per the change requirement.
• Performed maintenance, enhancements and modifications of the system to meet users and business requirements.
• Development and maintenance of Stored procedures as per client requirements
• Responsible for writing Triggers for maintaining history of DB2 tables.
• Responsible for executing DB2 scripts to manage data transfers across DB2 regions for user testing.
• Responsible for the migration of all elements from test to production.
• Involved with maintaining and updating CA-7 job schedules.
• Performed maintenance, enhancements and modifications of the system to meet users and business requirements.
• Generated test data from the production environment by using DB2 extraction utilities.

Environment: Mainframes, DB2, IMS-DB/DC, HTML, SQL, Oracle 8i, XML