Data Analyst Social Media

EDUCATION

ABHIJIT SUNDARARAJAN

*******.************@*******.*** https://www.linkedin.com/in/abhijit-sundararajan 201-***-**** Master’s in information technology Rutgers University New Jersey Dec 2019 Relevant Coursework: Business Data Management, Data Science, Data Analytics & Decision GPA:3.617 Making, Statistics and Machine Learning, Business Forecasting, Cybersecurity. Bachelors in IT engineering University of Mumbai India May 2015 ACADEMIC PROJECTS

RUTGERS UNIVERSITY, THE STATE UNIVERSITY OF NEW JERSEY Sep 2018 – Present Data Analyst API’s Sentiment Analysis using Twitter Data

• Extracted and analyzed various reviews and sentiments in tweets utilizing NLP and text classification to drive various hypotheses

• Extracted real time data from social media platforms (Twitter) and normalized semi-structured JSON data into Pandas data frame in Python. Utilized Text Blob for noun phrase extraction, polarity & subjectivity, classification. Business Intelligence: Citi Bikes Tool: R

• Analyzed Citi Bike data set to find minimum number of new kiosks to be built using the k-means algorithm, in order to cover maximum distance and people using minimum kiosk.

Data Science: LinkedIn Data Jupyter Notebook using Python

• Cleansed, interpreted and analyzed LinkedIn data to track trends around most popular companies, average tenure of employees, inclusion in organizations, to provide valuable data-driven insights

• Developed attractive visualizations of the trends in job market using libraries like matplotlib and Seaborn Business Forecasting and Statistical Analysis: Sales Data Analysis Tool: R

• Obtained histogram and boxplot on Time-Series Data. Applied forecasting methods like ARIMA, Holt Winters, SSE, Naïve and Simple Moving Average method that best forecasts the time series based on the historical values. Data Analysis & Decision Making: Telecom Customer Churn Tool: R, Python and Tableau

• Customer churn is a key business metrics for telecom service provider companies to predict which customers are going to leave their business.

• Random Forest Classifier, Support Vector, Decision Tree and Logistic Regression models for classifying into churn or not-churn Project Management Engineering Project Channel Tunnel

• Created Project Charter, Project Plan, budget, Quality and Human resource management plan, Stakeholder analysis, Communication plan, Risk management plan and Stakeholder grid PROFESSIONAL EXPERIENCE

Quality Kiosk Pvt Ltd, India Dec 2015 – Jul 2018

Role: Test Engineer/Data Analyst

• Worked on J-Meter tool for doing Performance Testing of AIA Jakarta Application

• Optimized the performance of the application by optimizing the time taken to fetch the data by 25% through indexing

• Prepared Root Cause Analysis and Spreadsheet reports by using App Dynamics tool for the AIA web application Project: APM Project (Application Performance Monitoring) Role: Test Engineer Analyst

• Monitored the Backbase application for IDFC Bank using the Dynatrace tool and investigated the data of the end user transactions to discover correlation and trends in the errors and fraud detection.

• Collaborated with the application team to create dashboards on Tableau and Dynatrace, resulting in 30% cost saving in each engagement.

• Identified and solved real-time critical errors and resolved the errors by consulting with the application team which helped reduce the error rates of the applications by 25%

• Prepared User Experience Management Reports using VBA Macros for the Backbase Application to classify whether the end user of the application is satisfied or unsatisfied and reduce fraud detection Project: Cloud Services

Role: Test Engineer/Associate Analyst

• Worked on different Banking, Insurance, Finance, Mutual Funds & E-commerce, payment systems and mobile applications

• Escalated different types of errors faced in these applications to the Banking clients and performed operations research

• Performed data driven quality assurance on generated results to ensure accuracy, consistency and improve accuracy TECHNICAL SKILLS & INTERESTS

Programming Language(s): C++, Java, Html, PHP, Python, R, Javascript Database: SQL Server, Oracle

Tools: Tableau, Dynatrace, App Dynamics, J-meter, Microsoft Power BI Functional Skills: Leadership, Innovative Solutions, Analytical Thinking, Excellent Design Thinking & Communication Skills Interests: Data Analytics and Business Analytical Programming using R and Python, Data Visualization using Tableau and Power BI, passion for AI and Machine Learning

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