Salesforce

MADHURI DILLIKER

*** ******** ******, ********, *** Jersey 07029 ***************@*****.*** 862-***-**** CAREER FOCUS

Graduate student seeking opportunities to extract valuable insights from massive amount of data by applying data analytics technique, problem solving, critical thinking and advance data driven methods Has 3 years of experience in Salesforce Development, Salesforce CPQ, Data Migration, Data Analysis and Business Requirement Analysis. SKILLS AND CERTIFICATION

Machine Learning: Supervised Learning (Linear Regression, Decision Trees, Random Forest, Neural Network), Unsupervised Learning Methods (K-means Clustering, Principal Component Analysis), Time-series forecasting Technology & Database: Python(NumPy, Pandas),MySQL, R Programming, Salesforce, Apex Programming, Apex Data Loader Core Java, Html5, Css3, Zapier

Analysis & Reporting: Ms Excel, Tableau, Trello, Slack EDUCATION

Master in Information Technology and Analytics, Rutgers University, New Jersey, USA(GPA3.78) Jan 2019 – May 2020 Bachelor of Engineering in Computer, DYPIET Pimpri, Pune University, India May 2012- May 2015 PROFESSIONAL EXPERIENCE

Salesforce CRM Analyst (Rutgers Division of Continuing Studies, New Jersey, USA) June 2019 - Current

• For admission system data performed data wrangling, data cleaning and validated data to increased data quality by 59%

• Performed data mapping and merged the data for Central Marketing team from the Admission System hub

• Gathered data to build system to track students in admission process using EDA Interaction Package and interaction mapping

• Successfully integrated GoToWebinar student registration form data to Salesforce using Zapier tool and used PostgreSql to formulate complex sql queries to fetch the data from online form and store it in database tables for further integration steps.

• Created data flows, workflows and batch process to notify administrative team how many students have attended webinar.

• Designed business requirement, functional, non-functional documents and produced documents for admins and end user

• Generated report on students data for applying and admitted students for building a predictive model and visualized it using tableau. This data is tracked by marketing team to follow up with students who didn’t enroll for the course

• Performed statistical data analysis and ad hoc research for campaigns to aid admissions records and other benefits

• Set up a Campaign using A/B testing to identify students who actively participate in webinar and interested in applying System Executive Engineer (Eternus Solutions, Pune, India) Dec 2016- Oct 2018 Salesforce CPQ

• Analysis of business and data requirements of clients and provide them with innovative solutions which are easy implement.

• Implementation of Price Rules, Product Rules, Guided selling for product selection which results in increase of product sale.

• Developed Quote Templates in html using translate functionality to display Quote Templates in multiple languages. Salesforce Admin

• Well versed in understanding and analyzing of Salesforce CRM Automation business processes.

• Worked with various salesforce objects like Account, Contact, Leads, Opportunity, Products, PriceBook, campaign

• Designed complex SOQL queries to retrieve information and defined Org wide defaults to restrict users

• Developed custom app using lightning app builder and generated reports and dashboard to derive insights of customer data

• Experienced in Roles, Profiles, Page Layouts, Sales processes, Workflow Standard Approval processes, Process Builders. Data Migration

• Creation and documentation of test case scenarios and migration of code using outbound change set to production environment

• Cleaning and Analyzing of csv fields and executed advance excel functions like Vlookup, pivot tables.

• Involved in task to migrate bulk records from testing to production environment using Apex Dataloader

• Analyze and Troubleshoots issues and perform regression testing and manual testing ACADEMIC PROJECTS

Object Recognition using Deep Learning and Neural Network - [Python]

• Worked with Deep learning library such as Keras, TensorFlow and Theano, used machine learning library in python like Scikit-learn, matplotlib and also extracted images dataset i.e CIFAR-10 from Keras library.

• Gained knowledge of working of neural network and build a model using CNN algorithm and tested it with 87% accuracy . Product Recommender System – [Python]

• Applied Item-based and User-based collaborative filtering using Pearson Correlation & Matrix Factorization using svd algorithm and build a system to predict product rating score matrix and then recommend product to user with generated score rating.

Amazon Stock Price Prediction - [R programming, ARIMA model]

• Extracted 10 years stock data using Quantmod package in R, then performed exploratory analysis to analyze the data set

• Applied Time Series algorithm STL decomposition and used ARIMA model for forecasting future values and applied various forecasting methods like Naïve Forecast, Mean Forecast and compared these models for accuracy using ME and RMSE predicted the stock price with 80%

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