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PERSONAL INFORMATION Karthic Raja Balasubramanian

No.208 silver lake apartment, Doddakannelli, 560035 Bangalore (India) 702-***-****

ac9gvn@r.postjobfree.com

www.linkedin.com/in/karthic-007

https://github.com/Karthicraja-007

JOB APPLIED FOR Data Scientist

EDUCATION AND TRAINING

14/07/2013–27/05/2017 Bachelor of Engineering

St.Peters College of Engineering and Technology, Chennai (India) PERSONAL SKILLS

Mother tongue(s) Tamil

Foreign language(s) UNDERSTANDING SPEAKING WRITING Listening Reading

Spoken

interaction

Spoken

production

English C1 C1 C1 C1 C2

Levels: A1 and A2: Basic user - B1 and B2: Independent user - C1 and C2: Proficient user Common European Framework of Reference for Languages Communication skills Excellent spoken and written communication skills. Job-related skills Working in Machine Learning, Deep learning, NLP, Computer vision and Chatbot.

Ability to work on structured and semi-Structured data.

Processing, cleansing, and verifying the integrity of data used for analysis.

Worked in modelling techniques - Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Time Series analysis, NLP Models, Multivariate Statistics.

Good in building predictive models using Supervised and Unsupervised Machine learning algorithms: Regression, Classification, Clustering, Natural language processing, computer vision and Image processing.

Develop forecasting models for key business services and answers to key questions.

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Digital skills SELF-ASSESSMENT

Information

processing

Communica

tion

Content

creation

Safety

Problem-

solving

Proficient user Proficient user Independent user Proficient user Proficient user Digital skills - Self-assessment grid

Tool : Python (2.7/3), Excel

Deep Learning : Keras, Tensorflow, Pytorch

Other Libraries : Scikit, Numpy, Pandas, Matplotlib, Seaborn, OpenCV

Deployment : Anoconda,IPython,Notebook/Jupyter,

Spyder, Google-Colab

Machine Learning libraries -:

Data mining, Cleansing, Visualizing, Modelling.

SKlearn, Classification Problem, K-means Clustering NLTK, Chatbot, RNN, Seq2Seq, Tensorflow,

Deep Learning, CNN, OpenCV, Google Dialog Flow, AWS ML Cloud, SQL

Availability :Immediate

Relocation : Willing to relocate. (Unmarried)

ADDITIONAL

INFORMATION

Projects Damage Classification of Earthquake Struck Buildings

Based on post earthquake data we need to predict the degree of damage in the buildings.

Using the machine learning model, the degree of damage needs to be predicted in three levels i.e. High, Medium, Low.

Used Central Imputation for missing values, Feature selection done by using correlation plot and random forest.

Construction Site Accident Prediction

Based on Past site accident reports from various contractors and sites

Random Forest (RF) and Stochastic Gradient Tree Boosting (SGTB), were used to predict safety outcomes from fundamental construction. Page 3 / 3

Date :

Place : Bangalore Karthic raja B

Text Classification based on Employers data

Preprocessing data; Clean data, Lemmatization

Build a classifier for classification of text and extract various details from text document.

Real Time Face Expression Detection

Use Principle Component Analysis algorithm to noise (Dimension) reduction.

Implement Accurate Face Detection research paper for Face detection. Other skills Area of Interest and Projects worked :

Python

Machine Learning Algorithms

NLP

Deep Learning

ANN

CNN

Matlab

Tensorflow

Keras

OpenCV

Computer Vision.

SQL

Personal Details Passport Valid till : 2027

Travel : Interested.

DOB : 14/07/1996

Native : Tamilnadu.

Current Location : Bangalore.

Language : English, Tamil, Kannada.

Contact this candidate