Jessica Claire
  • Montgomery Street, San Francisco, CA 94105 609 Johnson Ave., 49204, Tulsa, OK
  • H: (555) 432-1000
  • C:
  • Date of Birth:
  • India:
  • :
  • single:
  • :
  • High‐performing, strategic‐thinking professional with MS in Business Analytics and MBA in Finance and over 4 years of experience in service industry.
  • Strong cross functional leadership and collaboration, managed up-to 20 direct reports, skilled in relationship building with Customers and Team members.
  • Excellent Analytical and communication ability to develop and present effectively.
  • Need no Sponsorship and authorized to work anywhere in the USA.
  • Data Preparation and Mining
  • Statistical Data Analysis
  • Prescriptive modelling for optimization and decision making
  • Data Visualization and presentation
  • Supply Chain planning and aggregate production planning
  • Working knowledge of Relational Database Management
  • Project Management process familiarity
  • Understanding of financial statements and Ratio Analysis.
  • Easy learning ability and highly proactive
Customer Care Manager, 10/2004 - 05/2007
3 Day Blinds Burbank, , India
  • Maruti Suzuki India Ltd is the Automobile-manufacturing leader in the car segment in APAC region.
  • Managed customer service representative team, SSI (Sales and post-sales follow-up) program manager team.
  • Responsible for conducting monthly key stakeholders and customer summit to gather voice of customer and help in resolution of customer issues.
  • Experienced with CRM for issue management and customer satisfaction Index (Remedy, Oracle Siebel).
  • Customer relationship management, conducted sales quality surveys, discussed services best practices, assisted with ISO 9000 Quality Management audits.
  • Built teams, lead recruiting, ramp up and mentoring for new hires, payroll and compensation.
Business Executive, 2003 - 09/2004
Gfk Berlin, , India
  • ICICI Bank is a financial institution with a range of banking, asset management and wealth management services.
  • Member of the credit analyst division, responsibilities included evaluation of risks for customer credits.
  • Lead a team of motivated field executives, facilitated trainings and recruitment process of team members, responsible for quarterly targets.
  • Managed corporate reporting needs using sales MIS databases through MS Excel and MS PowerPoint for reports and presentations.
  • Financial data analysis reporting for credit applications, provided risk assessments and recommendations through graphical representation and charts using Excel.
  • Worked with direct customers assisting with application, resolving issues and credit transition verifications.
  • Identified and analyzed customers for sales opportunities, provided cost optimization and solution for better ROI and cost-effective investments.
Education and Training
: Business Analytics, Expected in Spring 2017
California State University - East Bay, CA
Status - GPA : 3.942
Coursework: C++, Expected in 2016
Foothill College - San Jose, CA
Status - (A grade)
Coursework: Project Management, Expected in 2013
San Jose State university - San jose, CA
Status - ( A Grade)
: Master of Business Administration- Finance, Expected in 2003
UP Technical University - Lucknow, UP
Status -
GPA: 4.0 (Equivalent)
Recipient of "Certificate of Excellence" for securing first position in Management studies
: Bachelor of Science, Expected in 2001
DDU University - , UP
Status -
Coursework and Projects
MSBA Term Project: Built fraud detection models for bank credit card transactional data using R and further analyze the accuracy of each model to predict credit card fraud in the transactions. Worked on classification models using 4 different algorithms (Decision Tree, boosting decision tree, Navies Bayes and Logistic Regression) to find out the model that can provide highest precision and can detect maximum number of fraud customer's applications.
Human Resource Information Systems (HRIS): Performed descriptive analysis, factor analysis and regression analysis on employee survey data provided by a health care provider. This helped with understanding the relation and causation of HR practices on employee performance and empowerment. 
Data Analytics: Application of key concepts and methodologies of statistics. Analyzing and solving data analytics models using statistical methods. Application of data analytics tools and models to business decision making. Tools: Statistical packages in Python. 
Data Mining: Understanding of concepts data preparation and mining process. Developed and implemented data mining models based on Association rules, Classification and clustering algorithms. Plotted visualizations for decision making. Tools: R, R-Studio and other R packages. WEKA.
Project 1 : Association mining: Market basket analysis using association mining rules on grocery data provide by a Grocery store to analyze the transactional database and identify interesting patterns from the database.
Project 2 : Cluster Analysis : Performed cluster Analysis on McDonald's breakfast menu data set that provides a nutrition information to understand the least number of items to order which meet daily nutritional requirements. 
Shiny App development - Built Apps, HeatMap Agnes as clustering algorithm and Heatmap hclust as clustering algorithm. User can change color of high heat as well as low heat clusters. User can also change the angle of the title as per the requirement.
Big Data: Knowledge of technical components of big data technologies such as distributed computing, applications and technologies for effective data processing and analysis. Understanding of data manipulation, storage and analysis of big data in a project setting. Tools: Hadoop, Amazon MapReduce. Working knowledge of AWS. Apache Hadoop, Pig, Hive, Amazon EMR
SAS Programming: Importing and manipulating statistical data in SAS, formulating solutions to problems, producing relevant computer output using SAS, and interpreting the results appropriately, understanding of the terminology of SAS programming. Tools: SAS 9.4, SAS University Edition.
Prescriptive analytics, decision-making using problem solving methods like optimization, queuing models and simulations. Tools: Excel: Solver graphics, pivot tables, V-lookups.
Applied Project Management - Development of project definition, time and resource scheduling, budgeting, risk management, and performance measurement to manage projects.
Term Project: Optimization of Backup Data Recovery Process for a large SaaS provider, helping IT to implement more robust and comprehensive data backup plan in the event of data loss. Worked in a team of four members to articulate project goals, scope, quality control, risk and cost management. Communicated and gathered requirements from key stakeholders, prepared project charter, detailed work breakdown structures (WBS) and firmly established shared accountability for achieving project milestones (MS project 2010, MS Visio, MS Outlook, MS Office).
Marketing Analysis through combining conceptual marketing knowledge and analytical tools to solve marketing problems. Analyzation and interpretation of large datasets and survey using mathematical models and software. Tools: Ms. Excel.
Enterprise Management - Generated material requirement planning (MRP), advance supply chain planning (ASCP) with resource constraint & master demand schedule (MDS) reports using Oracle E-Business Suite R12. Created the roughcut capacity plan (RCCP) and the capacity requirements plan (CRP) reports based on the given MRP and MDS data. Developed comparative production plan and aggregate planning reports for a chip- manufacturing firm based on forecasted demand data (Excel). Tools: Excel for Data manipulation, macros, and database management. Aggregate Planning Report on Forecasted Demand Data 
Working knowledge of RDBMS. Database concept, database models and database management systems (SQL query, Oracle SQL*Plus, MS Access).
Data warehouse concepts, design and management. Experience in building dimensional models and modelling process. Implemented several dimensional models and OLAP cubes. Developed visualizations of multi- dimensional data. Tools: Microsoft SSDT (SQL server data tool), SQL Server Management Studio and Visual studio.
  • Customer relationship management
  • Project and Portfolio management.MS Project and Smart Sheet.
  • Dashboard and story building. Tableau
  • Reporting  MS Excel, MS PowerPoint
  • Statistical analysis. IBM SPSS
Top choice

Customer Care Manager

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Administrative Assistant, Houston, TX

Godson Manufacturing, Inc. | 03/2022 - Present

  • Manage internal communication channels, including email newsletters and information boards, contributing to 13% increase in employee engagement.

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