Vishal Nathani

**E Washington Street, Pittsfield building, Chicago Illinois 60602

Phone: 708-***-**** Email:ac86b0@r.postjobfree.com OBJECTIVE

Having 1 year of intern experience in IT Data Analyst and comprehensive industry knowledge on Statistical Modeling, Data Analysis, Predictive Analysis, Data Manipulation, Data Mining, Data Visualization and Business Intelligence, My goal is To obtain a management position as well as a technical position that will allow me to utilize my proven interpersonal, organizational and management skills WORK EXPERIENCE

DATA SCIENTIST- Curl Analytics, Bangalore, India

Recognition of crops from image data set. Presented the analysis of CNN model in terms of classification accuracy. Employed concepts of deep learning.

Application of various Artificial Intelligence (AI)/machine learning algorithms and statistical modeling like decision trees, text analytics, natural language processing (NLP), supervised and unsupervised, regression models, social network analysis, clustering to identify Volume using scikit-learn package in python.

INTERN-Andhra Pradesh State Fiber Net Limited (APSFDL), India

Provided network from moderator studio to remote schools.

Used broadcasting and multi-casting to send data from studio to schools such that they can access learning management system software through AP Fiber Net.

Maintained analytical worksheets, creating and development of dashboards, generating reports using Tableau.

INTERN- International Institute of Information Technology, India

Worked on boosting the security of deep neural nets against adversarial attacks with moving target defense mechanism.

Writing Sub Queries, Stored Procedures, Triggers, Cursors, and Functions in SQL. TECHNICAL SKILLS

Programming Languages: Python, SPSS, SQL, PLSQL, SAS Development Tools: Tensor flow, MATLAB, Spyder, SAS EDUCATION:

Master’s in Data science from DePaul University – Class of 2020, Chicago, US

Bachelor’s in Computer Science from Amrita University – May 2018, India PROJECTS

Analysis of vasculature in retinal color fundus images (Image Processing and Segmentation) Methods: Clustering algorithms, Graph based algorithms and Neural Networks

Titanic (Survived or not)-predicted the survival rate of passengers during the titanic disaster using logistic regression.

PUBLICATIONS

"Comparison of Models for Detection of Type of Crops using Deep Convolution Neural Network" EXTRACURRICULAR ACTIVITIES

State level marathon runner.

Volunteer in Disease Education through Education and Prevention trust.