My Updated Resume

1. ALOK RANJAN BHOI
Ameerpet, Hyderabad, Telangana
Ph. +91 9337128492
Email: alokranjanbhoi2@gmail.com |Github| Linkedin Profile
OBJECTIVE
An analytical and technically efficient Master in Computer Application seeking a strong platform for launching my career
to achieve the highest peak in Machine Learning.
EDUCATION
MCA, Sambalpur University Institute of Information Technology, Burla, Odisha. 6.76 CGPA 2015-2018
BCA, Govt. Autonomous College Bhawanipatna, Kalahandi, Odisha. 70% aggregate 2012-2015
12th
CHSE, Science, KBK Times Academy, Kesinga, Odisha. 52% aggregate 2012
10th HSE, Mahalaxmi High school Chahagaon, Kalahandi, Odisha. 61% aggregate 2010
PROJECTS
Project 4: FACE RECOGNITION USING KNN 2018
Environment: Python 3.6, Numpy, Scipy, OpenCv, K-Nearest Neighbours using Ubuntu 16.04 Lts.
Project Description:
 This project base out of Machine Learning KNN algorithm for face detection and Recognition used Opencv3 python
library.
Project 3: Credit Card Fraud Detection Using Predictive Modelling 2018
Environment: python 3.6, Numpy, Sckit-Learn, Isolation Forest using Jupyter Notebook, Ubuntu 16.04 Lts.
Project Description:
 In this project I am doing Credit Card Fraud detection using anomaly detection from the sk-learn package. I
implementing the Logistic Regression machine learning algorithms.
Project 2: Board Game Review Prediction 2018
Environment: python 3.6, Numpy, Sk-learn, Linear Regression, Jupyter Notebook, Ubuntu 16.04 Lts.
Project Description:
 This project is predicting board game reviews and in this project we are predict the average reviews on a board game
based on characteristics such as difficulty, length, number of players. This will be accomplished by performing linear
regression analysis.
PERSONAL CONSULTANCY
Project 1: CAREER CENTRE STUDENT INTERACTION SYSTEM 2017
Client: Dhirendra Naik, Bhawanipatna.
Environment: Android Studio 2.3.3, Windows 10
Project Description:
 Developed Android app for Career Centre Bhawanipatna.
 The information provided in this Application acts as a path which enables you to access all the requirements of a
student in the institute. You can check the current happening of Career Centre with notices. There's an online library
section which has all the major subjects in PDF format to help you understand the subject better.
 Career Centre – Android App on Google Play Store.

2. ADDISIONAL COURSES
 Diploma in Data Science(Naresh IT, Hyderabad) 2018
WORKSHOPS
 Attended 7 day workshop on “TEQIP-III SPONSORED One Week Short Term Course on LATEX (2017)”
 Attended 5 day workshop on “Simulation Using MATLAB (2016)”
 Attended 2 day workshop on “International Workshop on Recent Trends in Mathematics & Applications (2016)”
 Attended 7 day workshop on “Computer Society of India Sponsored CLOUD COMPUTING (CSI-CC 2016)”
 Attended 2 day workshop on “Internet of Things device and Sensor Network (2016)”
ONLINE CERTIFICATIONS COURSE
 OpenCV for Python Developer LinkedIn Learning 2018
 Data Visualization with Python IBM Cognitive Class 2018
 Data Analysis with Python IBM Cognitive Class 2018
 Python for Data Science IBM Cognitive Class 2018
 Python101 IBM Cognitive Class 2018
 Intro to SQL for Data Science DataCamp#6,414,147 2018
 Introduction to R DataCamp#6,412,560 2018
 Intro to Python for Data Science Course DataCamp#5,260,255 2018
 Introduction to Machine Learning for Data Science UC-237JROGT 2018
 The Complete Python3 Course: Go from Beginner to Advance UC-COZKJGR5 2017
TECHNICAL SKILLS
 LANGUAGE: C, Python, R, Machine Learning
 WEBTECHNOLOGY: HTML, CSS, JavaScript, XML
 DATABASE: SQL, MySQL
 OPERATING SYSTEMS: LINUX (Ubuntu 16.04LTS, Fedora 22, Kali Linux 2.0.)
Including DOS, Windows 10
SKILLS AND ABILITIES
 Determined to learn with practical approach
 Operating System Installation and Configuration
 Networking & Troubleshooting PC
EXTRA CURRICULAR ACTIVITIES
 Organizing member of blood donation camp at sambalpur University 2016
HOBBIES AND INTERESTS
 Interested to become a Data Scientist
 Hold 2nd
Position in Rubik’s cube Competition Record Time 1 minute 27 second.