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Data Analyst

Parsippany-Troy Hills, NJ
October 13, 2019

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AT&T Apr 2019 – Present

Data Analyst New Jersey, USA

• Used Teradata SQL for reporting monthly & daily usage trends for IP Toll Free products amounting to $1B.

• Created an automated system for the systematic reporting using Python.

• Created a dashboard for all the customers and their usage using Tableau and Excel. Harrisx The Stagwell Group July 2018 – Dec 2018

Data Science Intern New York, USA

• Designed the automation of Quality Control process for the product team that saved 4-5 days each month.

• Built a data pipeline for the product on Amazon Cloud Services using AWS Lambda, Redshift & S3.

• Created an automated Reporting Dashboard listing the count and types of errors in data collection. Rutgers Business School Sept 2017 - Dec 2017

Graduate Teaching Assistant Newark, USA

• Delivered a range of teaching and assessment activities including tutorials directed towards the delivery of the course related to network optimization, Integer, linear and non linear optimization.

• Regular course administration using online departmental systems like Blackboard.

• Supervised practical work, advised on skills, methods and techniques to assist the transfer of knowledge. Yodalearning Solutions Oct 2016 - April 2017

Customer Insights Analyst Mumbai, India

• Effectively increased website traffic by 28% by using data driven insights acquired by Google Analytics.

• Improved the website ranking by using Search Engine Optimization resulting in increased sales.

• Created and maintained various monthly and weekly reports and prepared KPI dashboards. EDUCATION

Rutgers University, Rutgers Business School December 2018 Master of Information Technology & Analytics New Jersey, USA Relevant coursework: Business Data Management, Data Analysis & Decision Making, Python Methodologies, Business Analytics Programming, Web Analytics, Data Mining, Business Forecasting, Regression Analysis. University of Mumbai May 2016

Bachelor of Engineering in Electronics & Telecommunications Mumbai, India ACADEMIC PROJECTS

Prediction of Housing Rates

• Used Numpy and Pandas to perform data pre-processing & data cleaning techniques on the dataset

• Predicted the housing rates of California using Multiple Regression.

• Regression and Visualization was done using Jupyter Notebook Re-admission Rate Prediction of Diabetic Patients

• Predicted the re-admission rate of diabetic patients based on historical healthcare dataset.

• Used machine learning techniques like Bagging and Boosting in statistical software – R. SKILLS

Machine Learning: Regression, Predictive Modeling, Hypothesis testing, Classification & Clustering algorithms Statistical Programming Languages: Python, R, SPSS Data & Analytics Tools: Google Analytics, Jupyter Notebook, Tableau, RStudio, MS Office Databases: SQL Server, MySQL, Amazon Redshift, MS Access CERTIFICATIONS

Advanced Web Analytics Certification Training, Simplilearn, December 2017

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