9+ years of experience in IT industry out of which 4+ years in Data Science, Machine Learning, Deep Learning, Natural Language Processing, Python and Spark

TECHNICAL SKILLS:
Machine Learning
Deep Learning
Keras
Statistics
Data Cleaning
EDA
Feature Engineering
Modelling
Evaluation of Models
Hyper parameter tuning
Regularization and optimization
Training and Production Pipeline
Optimization(Gradient Descent)
AWS
AB Testing
Automatic Model Builder
SUMMARY OF SKILLS:
Knowledge about applied concept of Statistics, Hypothesis testing, Regression, Classification ,
clustering, Ensemble, autoencoder, kersa, Gradient Descent
Different algorithms like Logistics Regression, Random Forest, SVM, Decision Tree, XGBoost,
RNN and LSTM
ACADEMIC BACKGROUND:
 PG Diploma in AI&ML from from University of Hyderabad, Hyderabad (India)

 B.Tech in Information Technology from Kurukshetra University, Kurukshetra, Haryana(India)
 4 months training in Machine Learning from Indian Institute of Technology, Madras(India)
 4 months training in Deep Learning from Indian Institute of Technology, Madras(India)

Sargis Sarukhanyan is a violist-performer living in Karlsruhe, Germany. He plays actively as a solo and ensemble player in different Cities of Europe. His home University is the Music university of Karlsruhe. Now with the mobility program Erasmus he‘s invited to study at Conservatorio Santa Cecillia in Rome.
Sargis regularly takes part in the masterclasses of famous viola players like Kim Kashkashian, Hartmut Rohde and etc.
https://youtu.be/o8PqB_tdC9I
https://youtu.be/DDIg0xrQqjM

Mariangela Vacatello inizia la sua carriera giovanissima e si impone sulla scena internazionale all’età di 17 anni, col 2° premio al concorso “F. Liszt” di Utrecht. Da quel momento colleziona molti prestigiosi riconoscimenti: Concorso “F. Busoni” di Bolzano, “Van Cliburn” in Texas, “Top of the World” in Norvegia, “Queen Elisabeth” di Bruxelles, XVII Premio Venezia, The Solti Foundation Award, Premio della critica “Nino Carloni”, Rising Star "The Gilmore" e molti altri.