KEY SKILLS

• Data Visualization • Data analytics • Predictive Analysis • Statistical Modelling • Machine Learning Algorithm

• Computer Vision • Deep Learning • Artificial Intelligence • Web Development. TECHNICAL SKILLS

INTERNSHIPS

Data Science & Business Analytics Intern Nov 2020 - Dec 2020 The Spark Foundation. Banglore,Karnataka.

PROFESSIONAL EXPERIENCE

Consaltant Jan 2018 - Apr 2018

Pathpartner Technology Banglore,Karnataka.

Junior Web Devoloper Aug 2016 - Dec 2017

Cyberathon Nagpur Nagpur, Maharashtra.

EDUCATION

Mtech-Computer Science Engineering Jun 2018 - Jun 2020 VIT Vellore Vellore, Tamilnadu.

BE-Electronics & Telecommunication Engineering Jun 2012 - Jun 2015 RTMNU Nagpur University Nagpur,Maharshtra.

Vaibhav Sontakke

+91-928******* admty7@r.postjobfree.com Nagpur, Maharashtra www.linkedin.com/in/sontakkevaibhav/ www.github.com/VaibhavSontakke https://www.kaggle.com/ksvaibhav27 Programming: Python,C++,SQL.

Packages: Scikit-Learn,Numpy,SciPy,Pandas,Matplotlib,,StatsModel,jupyter Notebook. Statistics/Machine Learning: Statistical Analysis,Linear& Logistics Regression,Clustering. ML platform / ecosystem: Tensorflow, Pytorch, TFLite,BigML,AzureML. Web Technologies: HTML5, CSS, Bootstrap, Flask, Django. Wrote code to collect, crunch, and analyze data from various internal and external sources. Build machine and tune learning models using Python and scikit-learn. Created linkages between various data within our business intelligence software to enable predictive modeling and trend analysis.

Generating annotated test images and video for the machine learning algorithm used Driver Monitoring System. Assisted in data analysis by prefiltering and cleaning data for ml models. Designing and deploying GUI for production-ready scalable web applications. Designed RESTful web services and scalable microservices for web applications. Assisted with numerous style changes, content updates, and bug fixes. Testing and debugging of web services and GUI-based applications. CGPA: 7.76/10

Percentage: 63.71%

MASTER THESIS

July 2019 - June 2020

PROJECTS

Netflix Recommendation System

Personalized Medicine: Redefining Cancer Treatment Amazon Fine Food Reviews

CERTIFICATIONS

An Assistive and Assessment Smart Eye for Visually Impaired People using CAFFE Model. Objective: The objective of this project is to source a wise life for the blinded by employing an object discovery system to help them in their everyday lives

Solution: Implementing such an assistive system with the help of the Deep learning factor discover that the features Caffe model, SSD, and MobileNets.

Key Achievement: Developed a model with an AUC score of 0.90 Paper Published on IJRTE Journal

Analyzing customer data and predicting the movies that the user will like based on the ratings given by the user to a particular movie. Project carried out in python language, performed KNN and XGBoost algorithm, Big Data. Tools/Technologies Used: Python, Machine Learning models (K-nearest neighbors, XGBoost Algorithm, NLP) Got a real-world dataset from Kaggle to distinguish the mutations that contribute to tumor growth from the neutral mutations. performed EDA and feature all the given clinical literature with Bag Of Words, TF-IDF. Used various ensemble models to classify genetic mutations based on clinical evidence Sentiment classification problem, performed EDA to find the most valuable product and the least rated product, also plotted a word cloud. Applied Various NLP techniques Bag Of Words, TF-IDF, word2vec, and performed Sentimental Analysis on Text data with various ML techniques. Also tried out LSTM based model for the sentiment classification.

Machine learning Foundation Course From University of Washington (Coursera). Jan 2019- April 2019 Spatial Data Science and Applications Course From Yonsei University (Coursera). July 2018 - Oct 2018 Bigdata Emerging Technologies Course From Yonsei University (Coursera). Feb 2019 - May 2019 Power BI Certification From iNeuron, Banglore. April 2020 - May 2020