Sign in

Engineer Machine

Vasant Nagar, Karnataka, India
October 03, 2019

Contact this candidate


Aloka. A


Tel : 088********

e-mail :

Linkedin :


Career Objective:

To work in a challenging environment demanding all my skills and efforts to explore and adapt myself in different fields, and realize my potential and contribute to the development of organization with impressive performance.

Education Qualification:

ME/ Information Technology

University Visvesvaraya College of Engineering, Bangalore 01. Secured 75.15%

BE/ Information Science Engineering

SEA College of Engineering & technology, Bangalore 49. Secured 53.38%




Sahyadri PU College, Kolar, 563101.

Secured 51.16%

(10th) SSLC

Mahila Samaja School, Kolar, 563101.

Secured 68.64%


Programming Languages: Python, Basic C++.

Technologies: Machine Learning Algorithms, Deep learning.

Models: Pandas, Numpy, Matplotlib, Sklearn, Tensorflow, Tflearn, OpenCV.

Web Technologies: HTML.

Database: MySQL.

OS: Windows, Linux.

IDE: Jupyter Notebook, Pycharm, Spyder, Visual Studio.

Concepts Known: Operating System, Networking, Data Structures. BE Project

Title: “Secure Data Retrieval for Decentralized Disruption-Tolerant Military Networks”. Language: Java.

Team Size: 4.


we provide a multi authority CP-ABE scheme for secure data retrieval in decentralized DTNs. Each local authority issues partial personalized and attribute key components to a user by performing secure 2PC protocol with the central authority. Each attribute key of a user can be updated individually and immediately. Thus, the scalability and security can be enhanced in the proposed scheme.


Supported team members in project design and architecture. Developed the Attribute-based Encryption module.

Involved in project documentation

Work Experience

Company: Emproto Technologies.

Designation: Image Processing Engineer.

Duration: May 2019 – Till Date.

Projects Name:

• Information extraction from documents like Aadhar, Pan, Driving License using C++, Tesseract, OpenCV.

• Text recognition and extraction from the food wrappers using C++, Tesseract, OpenCV.

• Worked on Color with Asian Paints App using OpenCV C++. Course: Machine Learning

Institute: Zenrays Technologies.

Duration: 4 Months.

Company: NOKIA.

Designation: Student Trainee.

Period: 1 Year.

Duration: September 2017 – August 2018.

Projects Name:

• Smart Installation Deployment Engine (SIDE) Script Automation for Home Subscriber Server (HSS) and Home Location Registrar (HLR) Installation using Python.

• Traditional Project Data (TPD) creation using Python.

• Testing using P-ART Regression tool.

Machine Learning Algorithms

• I have successfully completed Machine Learning training from Zenrays Technologies Private limited Banglore.

• Worked with different Machine Learning Models to obtain the Results for classification, regression and clustering.

• Expensive knowledge of Math over Cost function, Activation function, Gradient descent, Forward propagation and Backward propagation.

• Moderate knowledge over Image Processing & Text Processing. Projects: Github:

• Regression using Multivariate Linear Regression Model from scratch for Data Airfoil Dataset.

• Classification using Support Vector Machine Model for Iris Flower Dataset.

• Classification using Artificial Neural Network Model for Bank dataset to predict weather the customer leaves the bank or not.

• Classification using Convolutional Neural Network Model for Image Dataset to predict cat or not.

• Classification using Convolutional Neural Network Model for MNIST Dataset to predict the handwritten 0- 9 numbers.

• Built an effective Chatbot Model.

• Classification using Multinomial Naive Bayes classifier Model for Ham & Spam dataset.

• Kaggle Compitation: Titanic Disaster using Random Forest Classifier Model to Predict survival. obtained 76% score.

• Web scrapping using Beautifulsoup Module.

• Text identification and extraction from images using Tesseract, OpenCV, C++, Python. Personal Details

Date of Birth : 24


July 1993

Fathers Name : Annappa

Gender : Male

Languages Known : English, Hindi, Kannada, Telugu. Permanent Address : #35 Ganesha Nilaya, 2


cross, SVG Layout,

Ginkethimnnanahalli, Varanasi, Ramurthy Nagar,

Bangalore 36.

Tel. : 088********, 070********

I hereby declare that the information furnished above is true to the best of my knowledge and belief. Place: Bangalore (Aloka.A)

Date :

Contact this candidate