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Social Media Data Analyst

Location:
Jersey City, NJ
Salary:
75000
Posted:
January 26, 2021

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Resume:

SPARSH ARORA

Jersey City, New Jersey 917-***-**** adjqhq@r.postjobfree.com linkedin.com/in/iamsparsharora EDUCATION .

Stevens Institute of Technology, Hoboken, NJ, USA May’21 MS in Information Systems (GPA 4.0)

Courses: Data Warehousing and BI, Multivariate Analytics, Data Analytics and Machine Learning, Financial Decisions, Applied Analytics, Web Mining, Process Innovation, Project Management, Emerging Technologies, Marketing Analytics Indira Gandhi National Open University, New Delhi, India Jul’19 Post Graduate Diploma in Applied Statistics (GPA 3.6) Ramjas College, University of Delhi, India Jun’18

Bachelor of Science in Statistics (GPA 3.6)

WORK EXPERIENCE .

Compass Group, Hoboken, NJ, USA

Data Analyst (Part Time) Oct’19 –Present

Used SQL to retrieve data from the database for demand and sales forecasting using Time Series and Regression Analysis method with 95% accuracy

Performed SWOT analysis to help overcome the impact of COVID-19 on the on-campus dining facilities SuperWorld, Los Angeles, CA, USA

Data Science intern Oct’20 –Dec’20

Developed data pipelines for tracking user origin, click-through and user activity leading to buying virtual real estate plots

Built Machine Learning models to predict user behavior on the website and presented actionable insights using Tableau Stevens Institute of Technology, New Jersey, USA

Research Assistant for Web Mining May’20 – Sept’20

Leveraged Python to automate the scraping of Stock Prices from Financial websites and Jobs openings from Job Portals to an online location which intimidates a user to buy/sell the stocks and apply to jobs when the price is within the set threshold Growth Scribe, New Delhi, India

Co-Founder Sep’17 – Dec’18

Co-founded an Internet Marketing company that helps Small business grow their online presence using Social Media

Accelerated marketing campaigns on Google AdWords, A/B Split Testing and Trend analysis which led to increase of sales by 14.8%, reducing the CPC (Cost per click) by 23.6% which led to constant growth results of organization by 27.8% in 6 months SKILLS .

Tools: MS Project, Advanced MS Excel (Vlookup, Pivot Tables, VBA, Macros), TORA, Jupyter Notebook, R Studio, Adobe Lightroom, Twitter Analytics, Simul8, OLAP, Alteryx, Time Series, Spark 2.0 Programming: Python, R, C++, C Programming, SQL, SAS Analysis: Predictive Analysis (Regression Models), Machine Learning (K means Clustering, Decision Trees, and Naïve Bayes), Data Cleaning& Normalization, Data Mining (KNN, Confusion Matrix, PCA), Web Scraping using Python Data Visualization: R (ggplot2), Python (Seaborn, Matplotlib), Tableau, Gephi, BPMN, Aris, E-R diagram, Power BI Certifications: Udemy (Excel, R, Tableau, PM, FB Marketing, SQL, Python), RPA, Lynda (ML, Google Analytics), KPMG ACADEMIC PROJECTS .

Movie Recommendation Machine learning algorithm on Disney+ Sept’20

Analyzed Disney+ database to predict movies and TV shows based on viewer’s current preference using K-nearest neighbor and visualized the trend of viewing pattern over various geographies, IMDB ratings and Language preference across various Genres Analyzed Clickstream Data of CBS using Python and advanced Excel Mar’20

Assessed Clickstream data of a TV series for CBS to visualize customer patterns around Top Platforms used, Returning Customers, Time spent on the App, Valued customers, Bounce Rates etc. Data Warehouse and Business Intelligence System for United Airlines Nov’19

Spearheaded a team of 4 and developed BI Architecture for decision implementation, oversaw data reporting and analysis using ER model, Star Schema, Dimension Model, Bus Matrix and used Tableau for visualization and predicting profit Spam Classifier model using Python and Random Forest Feb’20

Supervised Machine Learning to create E-mail Spam Classifier used to classify incoming E-mail as Spam/Normal in Python using sklearn library that yielded 85% accuracy using Random Forest COMMUNITY SERVICE .

The Farmlink Project, a non-profit group that connects farms with surplus food to food banks with high demand due to Covid



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