Vaibhav Sarkate
Mobile No: +91-968*******
Email ID : admps3@r.postjobfree.com
Linkedin: https://www.linkedin.com/in/vaibhav-
sarkate
Github ID: https://github.com/vaibhavsrkt
Address: Akola, Maharashtra, India.
Well organized and hard working
individual with quality expertise in
programming languages such as Python,
Java. Well acquainted with Machine
Learning algorithms and SQL and NoSQL
Databases and profound understanding
of Linux and Cloud computing.
Education: Skills:
SunBeam Institute of Information Technology, CDAC
Pune-Karad.
CDAC PG- DBDA • 2020-2021
Post Graduate Diploma in Big Data Analytics – 78%
• Python Programming
• Java Programming
• MySQL, MS SQL(SSIS, SSAS, SSRS)
• NoSQL Databases(MongoDB)
• Tableau, MS Power BI
• Big Data Technologies
• Hadoop
• Apache Hive
• Apache Spark
• Apache Kafka
• Linux, Bash Scripting
• Machine Learning
• Data Visualization
• Cloud computing(AWS)
• Sentiment Analysis
• Web Scraping( Selenium )
• Data Collection and Modelling
PIGCE - Nagpur. Rashtrasant Tukadoji Maharaj Nagpur University.
Bachelor of Engineering • 2015 – 2019
Electronics and Communication Engineering – 6.28 CGPA Rajendra Jr. College, Nagpur.
Maharashtra State Board - XII Science • 2014 -2015 XII Science
Technical Certifications:
Python for Data Science - IBM
Managing Big Data with MySQL - Coursera
R Programming A-Z for Data Science – Udemy
Hands on Tableau for Data Science - Udemy
Academic Projects:
Sentiment Analysis on IMDB movie data • Nov 2020 - Dec 2020 (CDAC) Details: Scraping IMDB reviews from the official IMDB website using BeautifulSoup and applying sentiment analysis using Machine Learning to obtain the opinion of the reviewers and using this numerical data to determine the overall popularity of the movie.
• With the help of Machine Learning, created a python application that will classify the movie reviews with respect to their sentiments.
• Use the sentiment data to calculate the popularity of the movie which is then stored in a MySQL database for further analysis.
Top Twitter trending Hashtags using Spark Streaming and Kafka • Feb 2021 - Mar 2021 (Post CDAC) Details: Developed an application to continuously identify the top 10 twitter hashtags in last 60 minutes.
• Using sparks structured streaming API's event time processing support to identify top 10 trending Hashtags on Twitter actively.
• Making use of Apache Kafka's publish-subscribe distributed messaging platform for fetching the unbounded twitter data and ultimately consuming it at spark for cleaning. VOIP implementation and Call Blasting Using Raspberry Pi • Nov 2018 - Apr 2019 (BE Final yr.) Details: Call Blast is a telecommunication technique, and it is one of the PBX features which allow businesses to connect a number of customers simultaneously and broadcast a pre-recorded message.
• IP-PBX is software-based system which uses a Raspberry Pi module to achieve Phone calls, Interactive Voice Response (IVR), video calling as well as CALL BLASTING without the use of Internet.
• Voice broadcasting technology solves a number of unique problems that have no other solution. Corporations, government organizations, community groups : they all make use of voice broadcasting in order to maximize their reach.
Personal Details: Strengths:
Name: Vaibhav Sarkate • Self Motivated
• Eager to learn
• Hardworking
• Punctual
• Problem Solving
• Enthusiastic
Date of Birth: August 12th, 1997
Address: Neemwadi, Akola, Maharashtra.
Linkedin Profile: https://www.linkedin.com/in/vaibhav- sarkate-89914a174/
Languages
Known:
English, Hindi, Marathi
Gender: Male
Marital Status: Unmarried
Hobbies: Drawing, Reading, Guitar, Watching movies. Declaration:
I hereby declare that the above-mentioned information is correct up to my knowledge and I bear the responsibility for the correctness of the above-mentioned particulars.