Data Science
Resume:
PERSONAL INFORMATION Karthic Raja Balasubramanian
No.208 silver lake apartment, Doddakannelli, 560035 Bangalore (India) 702-***-****
***********.***@*****.***
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.
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