Data AnalystR, Python, SQL, SAS, Lucidchart, MATLAB, Visual Analytics.

Arkav Banerjee

206-***-**** ● **** Rowalt Drive Apt 202, College Park, Maryland 20740 ● *****.********@*******.***.*** https://www.linkedin.com/in/arkav-banerjee

I am a data fanatic, constantly working towards learning new trends and technologies in the world of Big Data and Artificial Intelligence. I work with SQL, R, Python and visualization tools like Tableau to analyse trends, interpret data and provide business solutions. I have worked on several projects involving Machine Learning. EDUCATION

University of Maryland, Robert H. Smith School of Business College Park, MD, USA Master of Science in Business Analytics, GPA: 3.77 December 2020

● Relevant Coursework: Data Mining and Predictive Analytics, Data Processing in Python, Database Management Mukesh Patel School of Technology, Management and Engineering Mumbai, Maharashtra, India Bachelor of Technology in Electronics and Telecommunications, GPA: 3.65 May 2019 TECHNICAL SKILLS

● R, Python, SQL, SAS, Lucidchart, MATLAB, Visual Analytics by SAS, Jupyter, RStudio, Microsoft SQL Server, Tableau, Power BI, Hadoop, PySpark, AWS

PROJECT EXPERIENCE

CP Analytica Restaurant Aggregator (SQL, Tableau)

● Created a restaurant aggregator for regional eateries in College Park, MD to help our clients make informed decisions while eating out keeping their health needs into consideration

● Developed ER Schema, ER Diagram, Business Rules and Database of several restaurants in College Park

● Visualized restaurant having low calorific meals, healthier options, high ratings and top amenities with Tableau Indian Sign Language Converter (Python, Jupyter, MATLAB)

● Developed a system with two teammates to aid specially-abled community in India to communicate with others

● Created a dataset of 5200 images and utilized GrabCut algorithm for segmentation

● Classified 26 different hand signs using ConvNet with an accuracy of 83.33% for real-time images

● Delivered a presentation on the project at an IEEE sponsored event in Pune, India Sentiment Analysis of Amazon Mobile Reviews (Python, Jupyter)

● Segregated Amazon reviews into opinion-based classes using CountVectorizer and TF-IDF

● Categorized reviews using Logistic Regression, Naïve Bayes and Random Forest Classifier

● Demonstrated the project at ICT4SD 2019 which was published in Springer (ISBN 978-***-**-****-3) Canny Edge and ANN Based Object Identification and Classification (MATLAB)

● Incorporated a system to identify and organize several objects using edge detection

● Employed resizing, grayscaling, filtering and conducted Canny edge detection for feature extraction

● Grouped objects using Artificial Neural Networks with an accuracy of 88.89% for real-time images

● Presented the paper at the 12th ICSTM-19 which was published in IJARSE (ISSN 2319-8354) WORK EXPERIENCE

Asian Paints Mumbai, Maharashtra, India

Data Analyst Intern December 2019-January 2020

● Developed a Product Recommendation engine to suggest paints and textures to clients with Content Based Filtering

● Used CountVectorizer to convert data into feature vectors and Cosine Similarity to compute similarity

● Deployed a feedback loop in order to create a user profile for a Collaborative Based Approach in the future National University of Singapore Singapore

Research Intern June 2018-July 2018

● Solved a project based on Sentiment Analysis of Movie Reviews to extract opinions on IMDb top 250 movies

● Employed Pre-Processing techniques such as Stemming and extracted features using Vectorization of words

● Implemented LSTM algorithm and attained an accuracy of 90.6%

● Researched on Hadoop Architecture, HDFS Shell Commands and Programming with MapReduce and Spark DISTINCTIONS

● Accomplished five grades of Western Classical Piano from Trinity College of Music

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