Working with the students on Machine Learning and Web Analytics courses in MS Predictive Analytics class

Consulting as a member of several small data science/data engineering teams on multiple projects.Performed Data Mining, Data Cleansing and Exploratory Data Analysis of more than 20 million POS transactions.Performed web scraping and sentiment analysis of customers’ reviews and ratings from Yelp, Twitter and Facebook Analyzed Seasonality and Trend in the data and predicted monthly sales using ARIMA and ETS modelsBuild Predictive models using Python and TensorFlow to predict weekly, daily and day-part sales and customer volume through different channels of sale. Build Mobile App for the manager and the business owner to monitor in real-time day-part, daily and weekly sales of each business unit. Tools used: R, Python, TensorFlow, SQL, Unix, BigData, Enterprise Miner, AWS, Excel, GitHub, Elastic Search, NoSql, Hadoop, MongoDBKey Achievements: Developed an analytic tool that enabled customers to view data and KPI statistics in real time resulting in lower payroll cost and improved efficiency.

Performed data analysis expertise for the Decision Support Department. Analysis of business and system process and functional requirements, developed business cases, client support during system development and implementation phases. Provided production support to the warehouse usersTools Used: Oracle DW, SQL, Quality Center, Unix, ETL, EDI Key Achievements: Successfully resolved critical data mapping issues that reduced BI reporting errors by 20%

Senior Data Analyst / Junior Data ScientistDATA CLEANSING PROJECTSMarketing Campaign: Find customers who received at least five direct mails.Read .txt files from database into Python with pandas package and validated duplicated records in datasets. Isolated customers in mailing list and marketing campaign and created a database that appended customers who received more than five mails into dataset. Saved dataset into Oracle DatabasePREDICTIVE MODELING PROJECTSInsurance: Predict probability of customers crashing their car and estimate payouts.After the initial EDA using Python and SQL, the missing data is imputed based on decision tree, and several continuous variables are to be converted into categorical variables. Once the data preparation is completed, a base logistic regression model was built for fit diagnostics. After removing outliers, logistic regression models were compared with AIC, likelihood ratio, area under ROC, and performance on test set and the best model was chosen for deployment for the logistic regression model to predict probability of a crash. OLS model was used to predict insurance payouts. Tools Used:R, Python, Pandas, SQL, Unix, BigData, Oracle, Angoss, AWS, Excel, GitHub, Hadoop, AWS, MongoDB

Managed the entire West Coast, East Coast and India Operation by forming a professional team and hierarchy.• Managed BA and QA teams in various technology areas• Areas handled SAP SD, MM, HR, FICO, BW, BI, BO and Web Applications• Manage project teams through planning, execution, Automation, Performance /Load, UAT, and production support.• Ensured that all project milestones were met. Mitigated risks when necessary. • Monitored project schedules and managed project resources to meet or exceed commitments.• Built and tracked Goals for team and individuals• Collaborate with Business, Development, Environments, Application support and Project management for release coordination, build and test executionProcesses Improvements• Designed and developed a QA forecasting tools. Increased adoption and operational efficiency• Designed and developed QA Knowledge-base tool• Implemented test case standardization model• Developed and implemented document testing processes• Developed and Implemented Onsite offshore work distribution and monitoring process• Implemented process in root cause identification and monitoring• Planned and implemented Onsite offshore model for QA • Implemented the process for SAP SOX compliance and interfaced with internal and external auditors• Developed and implemented tools to track quality metrics and project status.Key Achievments Improved EBITDA from 8% to 10%

Aveeva Inc provides a full range of IT services added with the best practices in QA along with expertise in working with wide range of companies worldwide. These services include the delivery of project-based solutions, custom-made teams and staff augmentation. Specific offerings include Recruitment, Training, and Placement of IT consultants with expertise in automation tools, Validation & Verifications, ERP/SAP automation solutions, HIPPA validation, and 21 CFR part 11 validations. Aveeva work with clients, world wide to increase the speed and effectiveness by which they release quality applications and products into production.Developed QA/BA training on software development and testing methodologies, automation tools, validation and verification of software as per as HIPPA and 21 CFR part11 regulations, SAP, EDI (various healthcare transactions), business modeling, requirement gathering and management techniques.

Steered and supervised the Operations, Recruitment, Accounts, HR, Immigration, Strategic Alliances, Training, and Marketing into a profitable organization through the downturn of the economy. Selected and hired self-motivated sales staff and trained them to be hard-working, customer-focused and extremely educated in their field, enabling them to work with minimal day-to-day supervision Researched and analyzed the IT industry market and re-focused business in response to market changes and technology demands, making sure firm always offered quality and competitive QA/BA services to the industry through our the nation.Directly manage and have P&L responsibilities for consulting servicesActively participate in corporate strategies and business planning and develop strategies to ensure long-term profitability growth and competitiveness and support sales strategies and execution.Direct and manage IT strategy implementation focusing on IT budgets, timelines and critical systems.Meet professional services revenue and profit/margins quotas and worked closely with the sales team to provide support in achieving sales quotaEnsure consistent professional services business practices throughout the team by establishing standards, policies, and procedures,Supervise, lead, evaluate and coach managers and staffLead effort to recruit top notch candidates to fill professional services positions with unique skill set .Develop training and certification programs that include classroom study, self-study and job shadowing.Negotiate contracts, discounts, and scheduling with customers and their legal teams to minimize company riskManaged on-going cost cutting initiatives, documented expense guidelines, and streamlined purchasing approval process. Grew business to 350 billable consultants with annual revenue up to $ 40 million and improved EBITDA from 8% to 10% Sold business in August 2008 to Emtec Inc.

SAP R/3 implementationTask involved understanding client's SAP based applications & programs, creating test scenarios- overall testing view of test assignment & test scripts- detail level instruction guide and execution of the same for master data , conversions, regression & functionality testing of different SAP based applications.