Data Analyst

Adith Shetty

551-***-**** *** Hutton Street, Jersey City, NJ 07307 *******@*******.***

www.linkedin.com/in/adith-shetty-586a31146/

EDUCATION

Stevens Institute of Technology, Hoboken, NJ Expected May 2021 Master of Science in Information Systems (Business Intelligence & Analytics), GPA: 3.83/4 Relevant Coursework: Multivariate Data Analysis Data Analysis & Machine Learning Web Mining Big Data Technologies Marketing Analytics Digital Innovation Process Innovation & Management N.M.A.M. Institute of Technology, Nitte, Karnataka, India May 2017 Bachelor (Electronics & Communication Engineering), GPA: 8.43/10 SKILLS

Programming Languages: Python R SQL Scala SAS JavaScript Packages: Pandas NumPy Seaborn Scikit-learn Matplotlib MLlib BeautifulSoup NLP Spark SQL Selenium Big Data: Hadoop HDFS Hive Pig Flume HBase Spark Cloud (AWS) Database/BI Tools: Rapid SQL My SQL Informatica Power Center Tableau Software: Spyder Jupyter Notebook IntelliJ IDEA Eclipse R Studio Microsoft Excel Analytical skills: Machine Learning Data Modeling Data Visualization Data Structures & Algorithms in C++ Managerial skills: Problem Solving Strategy Building Leadership Decision making Time Management ACADEMIC PROJECTS

Stevens Institute of Technology, Hoboken, NJ

Review Prediction using Sentiment Analysis and Machine Learning Algorithms Spring 2020

Developed a prediction model utilizing sentiment analysis and various machine learning algorithms (Logistic Regression, Random Forest Classifier, Naive Bayes) to automatically classify reviews into positive or negative, obtaining an average of 92% accuracy

Recommendation System for Job search using Apache Spark Fall 2020

Designed a recommender system using Spark SQL framework with Scala to help potential job seekers pursue alternate job occupations for their skill sets

For every pair of occupations, similarity between skill sets is measured by leveraging Cosine similarity matrix

Produced top 3 similar job occupations based on skill sets, with an overall accuracy of 91% Price Prediction of Used Cars using Machine Learning Techniques Fall 2019

Built a prediction model applying Random Forest Regression Algorithm employing data preprocessing, feature normalization, label encoding and data modeling with Scikit-learn pre-processing to estimate price of a car

Showcased an overall prediction success rate of 91.3% Online Shopping using Predictive Analytics Techniques Fall 2019

Predict probability of potential shoppers making revenue to company applying logistic regression leveraging data preprocessing, data transformation, PCA and Sampling methods

Evaluation of model leveraging Confusion Matrix demonstrated high sensitivity rate of 85% PROFESSIONAL EXPERIENCE

Accenture Solutions Pvt. Ltd., Bangalore, Karnataka, India 07/2017-03/2019 Application Development Associate

Developed enhancements and new solutions to business including requirement gathering, developing technical specification documents, coding, testing, support for user acceptance testing, and implementing solutions without any issues

Performed estimation, risk identification, mitigation plan, and root cause analysis of requirements placed by business users

Scrutinized ETL operations using Informatica Power center tool used for Real-time data integration along with database management tools for handling SQL queries

Administered aspects such as query modification in database, file dependency check for ETL process to run, data migration from one environment to other, year-end rollover at end of each fiscal year

Spearheaded automation employing Python with help of API, automatically analyzed and documented incident ticket details appearing on the Service page of the company on a daily basis

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