A Masters of Computer Science with majors in Data Science graduate from UCD School of Computer Science, University College Dublin, Ireland, 2020. 3+ years of professional experience in Data Analytics. Extensively extensively worked on Data Science projects using Python, Weka, R and exploring Data Analytics products like TIBCO Spotfire, Tableau, and Microsoft Power BI. Competent experience with Machine Learning algorithms and wide range of libraries like Scikit-learn, pandas, scipy, numpy, matplotlib, tensorflow, keras and many more. Excellent problem solving skills, effective communication skills, quick learner, team player and willing to explore and learn new technologies.
Rohit Chougule
16 The Oaks, Ballsbridge
Dublin D04, Ireland
+353-0899-629-757
Masters in Computer Science• August 2020
Bachelors in Computer Engineering • June 2017
Data Analyst • June 2020 - Present
Conduct full-lifecycle Data Analysis including requirements gathering, design, and implementation of Data Analytics solutions. Perform Data preparation, transformation operations for analysis. Build dashboards and visualizations for producing high-quality output and creating robust insights.
Associate Product Engineer • June 2017 - August 2019
Utilized extensive technical and customer relation skills to deliver world-class product service for the BI & Data Analytics enterprise software TIBCO Spotfire product suite. Collaborate and troubleshoot issues involving data ETL from different data sources, development of visualizations for operational and analytical dashboards in live environments. Address customer issues in various component of products TIBCO Spotfire Server, Analyst, Data visualizations, server performance management and stability, authentication in production environments.
Project Intern • June 2016 - June 2017
Led the team on project Megamart Business Solution- Retail store chain analytics based on customer trends, inventory management, and sales trends.
My skill sets vary over a wide range of Machine Learning algorithms, programming languages, tools and technologies, databases, Cloud, web framework, operating systems, and products
The Real-time Air Quality Index of different monitoring stations across India is obtained by the API provided by the Ministry of Environment & Forests, India and Central Pollution Control Board, India. Collected the raw data by a cron job. Followed all Data Science processes for data cleaning, transformation to summarize insights about Air Quality Index of Indian cities in Python.
EDA, ETL, Air Quality, PythonPerformed Natural Language Processing tasks on the customer review text. Built a binary classifier to predict whether a review is positive or negative.
NLP, Text Classification, Machine Learning, PythonParticipated in the online competition for building the Risk based pricing classifier. Risk based pricing classifier includes selection of significant factors that will help develop a prediction algorithm which can estimate loan interest rates based on clients’ information. The accuracy of the built classifier had global standing at rank 20.
Machine Learning, Banking, Multi-class ClassificationThe telecom operator dataset has large number of features. Analysed feature selection strategies, evaluated Classification models.
Feature Selection, Machine Learning, Telecom, WekaAnalysis of the NCT vehicle testing data for the vehicles manufactured in the year 2016. The dataset contains various attrributes like Vehicle Make, Model, their year of birth, number of vehicles manufactured in total and the various components in which the had undergone tests. In addition to that each of the quantitative attribute has a number/count along with its percentage associated.
Vega-Lite, Data VisualizationsBuilt a Machine Learning Classifier to predict if a customer would probably default the credit card payment for the next month.
Credit Card, Machine Learning, PredictionParticipated in the Hacker-earth Machine Learning Challenge to build a predictive model that can identify a pattern in these variables and suggest that a hack is going to happen. Built a Machine Learning model that predicted the hack with an accuracy of 99.10%.
Security, Machine Learning
Rohit Chougule
16 The Oaks, Ballsbridge
Dublin D04, Ireland
(+353) 0899-629-757
rohit.chougule@ucdconnect.ie