I am a graduate student at Syracuse University. I am pursuing Master’s in Engineering Management with specialization in Informatics. I have been a problem solver and a person who is inclined towards data. I have been acquiring skills lately to pursue and advance my career in the field of analytics.
I am currently associated with PMI Syracuse as a marketing data analyst where I help derive insights based on the client’s social media reach and engagement on platforms like facebook, twitter, linkedin and their own website thus leading to more customer acquisition.
I also had the opportunity to work with JMA Wireless as a lean six sigma consultant where I performed data analysis and developed an improved business model for the company which would increase their sales by $2.5M annually.
I believe that work should be something you look forward to every single day. It should entail meeting new people and building valuable relationships--not only to further your career but to grow as an individual, all while helping others along the way.
"If you're not making someone else's life better , then you're wasting your time."
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Experience
Marketing Data Analyst, PMI Syracuse, NY May 2020 - Present
• Tracked web traffic trends using Google Analytics to develop strategies for improved reach leading to increased memberships
• Analyzed web traffic and social media reach to identify key performance indicators such as click & bounce rate on client website
• Visualized data using python and tableau and synthesized member acquisition and retention insights to present report to the client
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Projects
Amazon Annual Sales Analysis using Python May 2020 - June 2020
• Identified KPIs and performed data pre-processing to clean and eliminate outliers in data of 210K records using pandas
• Applied data augmentation to get aggregate sales value of all 210K records and generated sales patterns for accurately predicting future sales value using pandas and NumPy
• Visualized data to analyze sales trend using matplotlib and generated actionable insights that answered business questions to improve quarterly sales by 15%
Amazon Clone prototype database using MS SQL Server September 2019 - December 2019
• Designed, implemented, and tested database RGMart using MS-SQL server and VISIO for making ER diagrams
• Determined the primary and foreign keys, nullabilities, relationships and normalized the database design into third normal form
• Created business reports using views, transactions, triggers, stored procedures, and functions
Data Analysis of Titanic Dataset Using MS EXCEL and R September 2019 – October 2019
• Applied conditional formatting to identify KPIs based on age, gender, passenger class and visualized data using pivot table
• Analyzed and predicted survival rate of passengers by performing logistic regression using Excel & R commander