student

ROHIT K. ULHE

*** ****** ******, ******- *****

Mobile: 857-***-****

Email: ****.*@*****.***.***

SUMMARY

Data Analyst with one year of experience in Machine Learning and Business Intelligence through project work. Evaluated Machine Learning Algorithms that best fit the model and built visualization graphs suggesting the best results for the problem. Strong problem solving and analytical skills with a background in statistics and data science. Rich communication skills and self-motivated to work in a dynamic and delivery-focused environment TECHNICAL SKILLS

Web Technologies: HTML, JavaScript, CSS, PHP, jQuery, Ajax Programming Languages: Java, C, C++, Python

Databases: MySQL, Mongo DB, MSSQL, PostgreSQL, Oracle, NoSQL Software’s: NetBeans, Visual Studio, Toad Data Modeler, Microsoft Power BI, Tableau, Qlik Sense, SSIS, Talend Studio, Anaconda Navigator

EDUCATION

Northeastern University, Boston, Massachusetts. Anticipated December 2019 Master of Science in Information Systems

Coursework: Application Engineering and Development, Database Management and Database Design, Advance Data Science, Data Warehousing and Business Intelligence

MIT College of Engineering, India. July 2017

Bachelor of Engineering in Information Technology

Coursework: Operating Systems, Data Structures and Files, Business Intelligence, Cloud Computing, Theory of Computation, System Programming

ACADEMIC PROJECTS

Northeastern University

Duplicate Quora Question Pairs Detection April 2018.

• Analyzed the dataset and performed exploratory data analysis by stemming the words, removing abbreviations and plotted the graphs to analyze word count and character count in the dataset

• Designed a Machine Learning Model to detect similarity between the Quora Question Pairs using LSTM Embedding and word to vector technique

• Predicted the accuracy of the model using XGBoost, Random Forest Regressor and Support Vector Regressor Integrated Data Warehouse and Reporting April 2018

• Created a target schema and integrated the project in Talend Studio where the source tables were in MySQL, Oracle and csv files while the target schema was in SQL Server.

• Visualization and Reporting of the analyzed data was done using Tableau, Qlik Sense and Microsoft Power BI. Election Management System December 2017

• Designed an application for effective handling of information of Electing parties and their candidates by keeping a check on them by Media News, Intelligence Committee and Background Check Committee

• A candidate’s eligibility is checked by the Background Check Committee

• Used Java and swing components for user designs while keeping the data persistent

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