Data Customer Service

Avinil Paul

***-**** ******** **** *****, Mississauga, Ontario, L5K 1C7

Phone: 365-***-****, E-Mail: ********@*****.***

Objective

A skilled and academically experienced data analyst, with proven capability of using big data and statistical analysis techniques for cases relating to core data analytics, financial analytics, marketing analytics and also supply chain analytics. Trained and applied skills of analysis is completed by using software tools for gaining valuable quantitative results; I have proven knowledge and experience in handling these results and ad-hoc reporting to achieve the finalized results. Proficiency in Computer Science and IT aids a great background support for understanding, handling, visualizing and warehousing large sets of data and big-data databases.

Education

Mohawk College of Applied Science and Technology, Hamilton, Ontario, Canada [Sep’ 17- April’ 18] Post Graduate Certificate in International Business Management University of Surrey, Surrey, United Kingdom [Sep’ 15 – Sep’ 16] Master of Science (MS) in Business Analytics

The Heritage Academy, Kolkata, India [Aug’ 12- Jun’ 15] Bachelors in Computer Applications (H)

Skills

Strong problem solving and analytical skills with great attention to detail. Gaining valuable insights from quantitative results and reporting detailed and important key aspects. Proficient in SPSS, R, SQL, Oracle, SAP, Tableau and EViews for data analysis, handling and visualizing. Certified in Oracle 10g and online marketing fundamentals. Working knowledge of C, C++ and Unix programming. Skilled in Microsoft Office tools, Excel, Word, PowerPoint, Access and Outlook. Data Analytics Experience

University of Surrey, UK

Prediction of Caravan Insurance Policy Buyers using Big-data Analytics [Jan’ 16]

• The data analytical task was to predict whether a customer is interested in a caravan insurance policy from a large data set supplied from Dutch Data Mining Company Sentinel Machine research. Analysis was preceded with exploratory data analysis and visualizing the data to gain insight into certain particularities of the dataset. Using a minimum of two different data mining algorithms namely C5.0 and CHAID (decision making algorithm). The analysis was carried out using IBM SPSS Modeler and SPSS Statistics. Marketing Analytics - Customer Management for a Large Retail Bank [Mar’ 16]

• The aim of this project is to know which marketing activity effectively makes customers stay back. Information about individual customer profitability was gained through survey and inferring to historical data sets. The hypotheses were tested using SPSS. Exploratory factor analysis and linear regression was applied. Marketing Analytics – Buying Behavior of Consumers (Mobile Phone Industry) [Jun’ 16]

• The main idea for this project was to achieve the real-world response by conducting survey; the raw data was collected, for the analysis using a statistical software tool SPSS Statistics 22. Conjoint and cluster analysis was used to assume that the utility of the product

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Supply Chain Analytics – Analysis and formulating the supply chain for importing oranges for marmalade manufacturing in the UK [June’ 16]

• The aim of this project was to attain data regarding the Orange fruit industry according to the variables such as quality, distance, route, import cost, product cost, time and profit. The key constraints were break-even, distribution network, AHP analysis, production mix and facility location. Equations and testing used include T statistic testing, Matrix set-up of vectors, cost AHP matrix, break-even point and Little’s Law. Dissertation/Thesis – Sustainability of Triple Bottom Line Reporting [Sep’ 16]

• The research model and hypotheses have been developed for this research to mainly determine whether Triple Bottom Line reporting has impact on behaviour of customers. Thus the outcome of the research provided us with a clearer idea of the Sustainability of Triple Bottom Line Reporting. The research was completed using quantitative method. Both primary and secondary data has been used for this research. SPSS Statistics was used for statistical analysis of the primary and secondary data.

Work Experience

Millennium One Solutions for ATCO Energy, Toronto, ON, Canada [Oct’18-Nov’18] Customer Service Representative

• Service and Sales

• Inbound and outbound calls from current and potential utilities customers of Alberta

• Manipulating and handling WSS and CIS for customer information handling and contract offerings.

• Switch and renew current customer’s agreements

• Educate new and current customers with offers and contracts Explorer Research, Mississauga, ON, Canada

Research Assistant [Jun’ 18-Oct’18]

• Data extraction from primary research studies conducted for client.

• Coding data from eye-tracking device (Tobii Pro Lab) for quantitative analysis.

• Data collection and managing the coded data in Excel for quantitatve and qualitative research purposes

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Calcutta Transport Agency, Kolkata, India

Operations Management Assistant [Feb’ 17-Aug’ 17]

• Assist and maintain weekly and daily work schedule

• Assist a small team of employees

• Manage the incoming orders from manufacturer and communicate with labour force for storing in warehouse and loading in trucks for delivery.

• Formulate routes with third party vehicle supplier for delivering shipments according to delivery destination.

• Report to firm owner and executive engineer

Calcutta Transport Agency, Kolkata, India [May’ 15- Sept’ 15] Operations Management Trainee

• Trained to understand the day-to-day work schedule

• Trained to manage a small team of employees for maintaining order receiving an delivery Language

English

• Professional and fluent proficiency

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