Offer Zone

$100

Hourly Consulting Rate

Contact Monalisa

Monalisa Fouzdar

Independent Consultant

Industry Experience

Information Technology/IT

Location Supported

India

United States

Languages Supported

Bengali

English

Hindi

Skills

  • Technical consultant
  • Functional consultant
  • Project management
  • Data scientists
  • Application development
  • Database administration
  • Business intelligence
  • Analytics
  • Artificial Intelligence
    • +5 more

Product Specialization

  • Oracle ERP Cloud
  • BambooHR
  • Microsoft Power BI
  • Tableau Software
  • Oracle E-Business Suite
  • Oracle EBS CRM
  • Microsoft Teams
    • +3 more

About

IT Professional with over 10 years of experience specializing currently in Artificial Intelligence and have strong expertise in Consulting, Analytics, Machine Learning, Data Visualization and all phases of Software Development from requirements gathering to implementation, testing and production. Expertise in Team and Project Leadership, Testing and Troubleshooting, Data and Analytics and experienced working in varied domains. Top performer, strategic thinker with exceptional problem-solving and prioritization skills. A great communicator between all levels of managements, peers and clients.
I have numerous customer appreciations , got Star Team Award and Top Performer from Tata Consultancy Services from my current employer. Received from Ingersoll Rand President award winning Treasury Cash Disbursement Project.
My core competencies are Analytics, Business Intelligence, Machine and Deep Learning, Oracle Database(Administration and Management) and Oracle Fusion Middleware(Integration).

Top Project Highlights

Finding Customer Loyalty for BMW Canada

  • Worked as Machine Learning Engineer and worked with team of 5 people and experienced in using Feature Engineering, Data Visualization and Machine learning techniques for Supervised and Unsupervised such as Linear & Logistic Regression, Clustering, K Nearest Neighbors, Support Vector Machines, Bayesian Models, Decision Trees, Random Forests, and Time Series for developing models to perform predictive analytics and forecasting to create actionable insights and strategy recommendations using Python, Tableau, Excel, PowerPoint
  • We followed the Data Cleaning, Data Analysis and Visualization, Feature Engineering, Feature Selection, Model Selection and Validation, Results Comparison
  • Enabling BMW Canada to engage with high risk customers throughout their automotive lifecycle to increase loyalty
  • Enabling BMW Canada to engage with at-riskcustomersthroughout their automative lifecycle to increase loyalty 
  • An iterative framework employed to get high quality predictive models in a repeatable fashion 
  • Had come up with Findings which was uncovered during Analysis and Modelling and then gave reccomendations to BMW 
  • Had helped further with few more insights on extend model Utility, Additional Model oppurtunities and digital transformation

Creating Dashboards and Models to predict upcoming year partner promotions and associate career trajectory to investigate possible talent gaps

  • Worked as Business Intelligence Associate for BGC Canada and created models in Python to predict upcoming year partner promotions and associate career trajectory to investigate possible talent gaps
  • Worked in a team of 6 people on Development and Admistration of the Tableau Server
  • Worked on Tableau Prep for Data Cleaning after analysis of data and used reccomendations on data preparation
  • Used the cleaned data for building  interactive dashboards for regulatory reporting, data analysis and insights using Tableau and Microsoft Power BI
  • Also hosted the dashboad walkthrough for presentations to the stalkholders with appreciation

Developed DataBase Management and Integration of the Ecommerce site for JD Williams for UK's home shopping company

  • Worked as Senior Architect and Developer in a high performing team of 10 individuals for designing, developing, enhancement, testing  using Oracle Database  and Data Integration (PL/SQL, SQL, Oracle Data Integrator)
  • Design and Development of Functional Documents and Technical Documents capturing Business Requirement, High Level Design containing the Functional Architecture details and Database design maintaining project standards, Low-Level Design Documents containing the detailed flow of the Deployment Plans, Rollback Plans for project lifecycle maintaining the IT Guidelines and Framework
  • Initiation and leading in design/code reviews and architectural compliance activities to help ensure that designs are in accordance with Information Technology (IT) strategies, standards, and Service Level Agreements
  • Schedule regular status review meetings with the management and with the customer
  • Established and maintained appropriate quality control systems for the validation of data input and output
  • Manage and oversee Release activities to successfully deploy application changes into production with quality
  • Coordinated and worked in testing the interfaces at all levels for producing quality codes and also tested along with the methods and techniques whether it met the level of quality before deploying and passing for production live
  • Support of codes along with the production support team after go-live and bug fixes
  • Providing plan for the team members for round the clock support and similarly arranging knowledge transfer sessions to the Support team for each interface that are running in the production
  • Resolution and Troubleshooting of codes if any issue faced at the time of the development
  • Used Automation and Scripting tool for daily and weekly monitoring of several high priority interfaces
  • Troubleshooting and Fixing of the web application performance issues creating roadblocks like for example Network Issue, Slow Servers, Coding level creating numerous logs and loops, Load Balancing, Network Traffic, Bandwidth Usage
  • In case of technical difficulties for any new business Requirement arranging Research and Development of new technologies for upliftment of the team and support of new requirements

Implementation of Oracle Fusion Middleware and J2EE to develop Credit Monitoring System of the Customer database under GE Capital

  • Worked as Project Lead and managed Development Lead and Administrative Lead along with 10 team members
  • Led projects end-to-end, throughout product development life cycle, authored quality assurance plans, defined milestones and drove execution throughout the project
  • Delivery management to ensure positive customer experience
  • Continuously monitored processes, identified gaps and optimized them to reduce the cost of quality
  • Interact with customer stakeholders, make key decisions around scope, schedule, quality, risks, resource and integrated change control
  • Design and develop an integration dashboard for monitor and manage the Event Handling Framework
  • Conducted root cause analysis and improved defect containment of the overall program across projects
  • Analyzed comprehensive business/functional requirements to support development of test plans, test cases and data for multiple testing cycles
  • Played important role in performance management, writing appraisals, giving feedback and helping new team member with technologies and plan of the project
  • Provided training and coaching to the new team members

Developing interfaces to deliver enterprise integrations solutions built on EAI and SOA platform for Ingersoll Rand

  • Worked as Developer and  Analyzed existing applications to identify performance bottle-necks and subsequently worked on increasing the efficiency by migrating to newer technology
  • Elicited functional requirements, redesigned existing interfaces and developed new automated integration frameworks
  • Provided resolution to critical issues, prompt user acceptance testing and post production support to the client, resulting in customer satisfaction index of 99.9%
  • Actively participated in cross training and knowledge transfer sessions to mentor new entrants
  • Designed and implemented the Ingersoll Rand President award winning Treasury Cash Disbursement Project

 

Using Data management and Oracle Data integration to manage the high-priority drugs for Customer management System in Gilead Sciences

  • Worked as Integration Specialist and coordinated directly with business partners and management of any business-critical requirements and on-time delivery
  • For technical enhancement worked with Oracle Specialist Engineer and installed Oracle Enterprise Manager in Business Partner Administrative Server
  • Maintain knowledge of project status and issue resolution. Resolve issues that arise between project team and client groups, and where necessary escalates to appropriate executive level for resolution
  • Identified and analyzed risk, likely to adversely affect the project responsibilities of scope, time and budget
  • Provide a roadmap document to migrate DB interfaces from 10.1.3 to 11g. Identifying the challenges with data  Management, code conversions and possible design changes
  • Identifying, designing and maintaining reusable components and services 
  • Introduce new version control and engaging business partners and technical onsite team on how to use Tortoise SVN and how version control is done maintaining the code in Jira and other Atlassian Products
  • Support the management team in identifying opportunities for improvement in business operations
  • Review newest technology innovations impacting the business like OWSM which improved the security management system and presenting to business along with the help of the Center of Excellence team
  • POC for several new business requirements which was not in the scope of the technological aspect
  • Used automation tool for daily and weekly monitoring of several high priority interfaces
  • SPOC for the major escalations or issues and took active role in resolving the issue
  • Verify that project deliverables have been met to client's satisfaction and establishes and maintains an ongoing communication and reporting process with the Offshore Team, Onsite Team and Business Stakeholders

Employment

Assistant Consultant

2010 - Present

Education

Master of Management in Artificial Intelligence
2019-2020

  • Awarded Scholarship based on academic background and professional experience
  • Experience in using Feature Engineering, Data Visualization and Machine learning techniques for Supervised and Unsupervised such as Linear & Logistic Regression, Clustering, K Nearest Neighbors, Support Vector Machines, Bayesian Models, Decision Trees, Random Forests, and Time Series for developing models to perform predictive analytics and forecasting to create actionable insights and strategy recommendations using Python, Tableau, Excel, PowerPoint. 
  • Written an article and published it over School Magazine on overview of Business Analytics and its uses with top recognition
  • Scored 100% in giving the best solution using decision-making tools like Palisade, Solver and Decision Tree for a North American toilet paper production company, Quilted North to increase its production w.r.t other North American Companies
  • Developed simple supervised machine learning application using Microsoft Azure Machine learning Studio and Tensor Flow for end to end open source platform for a text classification
  • Currently working on an unstructured dataset (Detection of forest fires from Satellite Images taken by Planet.com and Landsat 8) using combination of RNN and CNN models as a part of Deep Learning Model
  • Analyzed unclean and unstructured customer datasets provided by Yorkdale shopping Center and predicting the higher customer visiting store in the shopping center using Data Exploration & Preparation and Machine Learning Analysis or Modeling namely, Random Tree, SVM, Naïve Bayes, KNN and Logistic Regression
  • Prepared an analysis in correlations between environmental data in North American Cities and movements of commodity prices in the market using NOAA weather data and Yahoo Finance market data combined with machine learning models, 1-D CNN, regression models and LSTM and GRU models to test different hypotheses
  • Bankruptcy prediction using Linear Discriminant Analysis method and using up and down sampling techniques for financial data prediction of 920companies
  • Worked on the Face Swapping GAN (FSGAN) for face swapping and Reenactment under Pattern Recognition
  • Worked on recommender System using data from Amazon to find products that are often purchased together
  • Attended various workshop by SAS, Alteryx, Databricks, PyCaret, DataRobot and events organized by Silicon Valley Tech Trek and Toronto Machine Learning Society  

Bachelor Of Technology
2005-2009

  • Awarded Second Position for project presentation in Telecommunication Infrastructure Model during 2008
  • In top 20 candidates in terms of GPA in the department which had 250 students
  • Succeeded in leading the Technology Fest where various technical schools from India participated and displayed the robotic models and skills
  • Achieved 400 ranking in All India Engineering Entrance Examination out of few lakhs of students

Certification

Earned a badge from SAS (Advance Analytics) for Statistical Concepts
2020-Present
Oracle SOA Suite 12c Essentials Certified, Oracle
2017-Present
Oracle AIA 11g Certified Implementation Specialist, Oracle
2013-Present
Six Sigma Green Belt Certified
2013-Present

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