Python, C, PL/SQL,HTML, CSS, Node.Js, PHP, Ajax, Json, Java

Tanvi Rasam

**** ***-* ******* *****, Charlotte, NC-28262

980-***-**** ******@****.*** https://www.linkedin.com/in/tanvi-rasam https://github.com/tanvi-rasam EDUCATION

The University of North Carolina at Charlotte, Charlotte, NC Expected: May 2021 Master of Science in Computer Science GPA : 4.0

Courses: Algorithms and Data Structures, Machine Learning, Big Data Analytics, Network Based Application Development, Cloud Computing for Data Analysis

Fr. Conceiacao Rodrigues College of Engineering, Mumbai University, India July 2019 Bachelor of Engineering in Information Technology GPA : 3.7 TECHNICAL SKILLS

Programming Languages: Python, C/C++, Java, PL/SQL

Web technologies: HTML, CSS, Node.js, Bootstrap, PHP, AJAX, JSON, XML, REST API

Software: Jupyter Notebook, Git, Eclipse, phpMyAdmin, Weka, Xaampp, Orange, Virtual Box

Operating Systems: Windows, Linux, Unix

Database Systems: Oracle, MySQL, MongoDB

Microprocessors: Raspberry Pi3

Familiarity with: Hadoop, Android, Tableau

PROFESSIONAL EXPERIENCE

Kokuyo Camlin Ltd., Mumbai, India Dec 2017 – Jan 2018 Intern – IT Department

Designed and developed a responsive web portal to aid the ordering process of the vendors, which included vendor authentication, session management, and payment gateway integration

Constructed an email notification system to automatically notify the vendors about their punched order’s progress

Applied ‘A-priori Association rule’ mining algorithm on a batch of historical data for suggesting the products that the vendors would plausibly buy

ACADEMIC PROJECTS

Loss Ratio Modeling for Auto Insurance ( 1st Rank in Intra-class Kaggle Competition) Dec 2019

Successsfully managed real-world Auto Insurance data comprising of 5 Lakh records with around 20% missing values

Performed Data cleaning using Regression/KNN Imputation, outlier detection, and substitution techniques

Extracted relevant features by LASSO regression and utilizing domain knowledge

Applied Random Forest model for predicting the Loss Ratio which yield an RMSE of 0.58 Forest Cover Type Prediction Dec 2019

Evaluated the best combination of feature selection algorithm (PCA, LASSO) and predictive model ( KNN,Logistic Regression, Decision Tree) for UC Irvine’s Forest Cover Type Dataset

Achieved an accuracy of 94.06% by incorporating Bagging and Ensemble techniques Baby Cry Detection Using Smart Cradle (University Grant : 1000$) June 2019

Developed an Intelligent system to identify baby’s cry and the cause of the cry using Image processing

Used OpenCV to extract facial landmark features and classified them using Inception v3 model on Raspberry Pi3

Swung the cradle using DC Motor as a response to cry and send an alert SMS to the parents Smart FRRO System (Government of India - Smart India Hackathon) Feb 2019

Designed and built a web application to manage the foreign national’s registration and verification process

Established the frontend using HTML, Bootstrap, JavaScript while backend using PHP and phpMyAdmin- MySQL

Developed security mechanisms like CAPTCHA, Email-verification, and OTP COURSES and CERTIFICATIONS

‘Machine Learning’ course by Sanford University

‘Data Scientist with Python’ track by Data Camp

‘Python for Everybody’ Specialization by University of Michigan through Coursera with a 90%+ in each course

‘Android Development for Beginners ’ course from Udacity EXTRA CURRICULAR ACTIVITIES

Community Service Organizer, TEDxCRCE council Jan 2017- Apr 2017

Student Technician, Fr. CRCE Student Union Jun 2016- Dec 2016

Member of General Administration Team, TEDxCRCE council Jan 2016- Apr 2016

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