Mitesha Jadhav
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Mitesha Jadhav

TECHNICAL SKILLS
Programming Languages: Web Technologies: Frameworks:
EDUCATION
Python, R, SQL, Java
HTML, PHP, CSS, LATEX
NetBeans IDE, MS-Office, Tableau, Ubuntu, MySQL, Git, TensorFlow, WordPress
MITESHA JADHAV
Boston, MA 02115 ? (+1)------------ ? ------------ ------------/in/jadhavmitesha10 ? ------------/Mitesha97
Northeastern University, Boston, MA (Expected) Aug 2021 Master of Science in Information Systems
Relevant Courses: Application Engineering and Development, Database Management and Database Design, Data Science Methods and Tools, Program Structure and Algorithms
University of Mumbai, Mumbai, India
Bachelor of Engineering: Information Technology
ACADEMIC PROJECTS
NORTHEASTERN UNIVERSITY, BOSTON, MA
Tax Revenue Management System
Technologies: Azure Data Studio, MS Excel, Tableau, MySQL
July 2019
January 2020- Current
� Tax revenue management system is used extensively to increase collections and escalate taxpayer conformity � Effective representation of data through visualization tools
� Record tax income from various sectors. Calculate the revenue generated from various industries using SQL
HEL(P)ORT - Java Application for Acid attack and Rape Survivors December 2019 Technologies used: Java, Db4o database, Netbeans
� Incorporated Object Oriented Programming design to create an innovative in-house system architecture of the appli- cation as an preliminary step to development
� Programmed Java classes, work queues, developed and integrated user interfaces for Victim Portal, Doctors� Portal, Legal Advisor Portal, Admin Portal, Supplier Portal and an NGO Portal.
Data Science Coursework Project - Analyzing FRIENDS TV Series December 2019 Technologies used: Python, IBM Watson Natural Language Processing tool, Git, Plotly
� Analyzed the lead actor in the series, the location at which it was shot the most applying FreqDist with NLTK, dialogue/catch-phrase used the most and cross-character mentions, and a word-cloud for each character. Also, used IBM Watson NLP tool to do sentiment analysis on each character using an API call.
Cervical Cancer Prediction using Machine Learning April 2019 Technologies used: Python, Tensorflow, Keras, NumPy, Pandas, Git, Javascript, HTML
� Optimized models using Python along with Keras and TensorFlow to implement Random Forest Regression model and a 3-Layer Convolution Neural Network model to predict an episode of Cervical Cancer
� Employed these Machine Learning models to achieve an enhanced accuracy of 95.93%
� Succeeded to win the best project award in the department.
WORK EXPERIENCE
Sun Gems, India (Software Developer Intern) Mar 2018 -Aug 2018
� Responsible for revamping the backend of the CRM using Python and SQL on a MySQL database
� Contributed in the business and strategic analysis team and devised marketing plans and strategies aimed at increasing sales which led to an increased profit of 23%.