Karteek Swasaka

About Karteek Swasaka

Experienced Data Scientist with Machine Learning, Deep Learning and NLP skills with a masters degree in Data Science & Engineering at BITS, Pilani.PROFESSIONAL EXPERIENCE: Extensively used numpy, pandas, matplotlib, scikit-learn, seaborn, NLTK, LSTM, SpaCy, cv2, Word2Vec, GloVe, FastText, Gensim. LSTM libraries and TensorFlow while developing different models. Proficiency in data preprocessing (dealing with imbalanced data sets, outliers, missing values, feature scaling, feature encoding, feature selection. Involved in phases of data science life cycle such as business understanding, data acquisition & understanding, data preparation, data modeling, model evaluation. Worked on following machine learning techniques :1. Supervised techniques such as regression, multivariate regression, classification, multi-class classification.2. Unsupervised techniques such as clustering, association, recommendation systems. Used algorithms such as linear regression, logistic regression, decision trees, SVM, KNN, K-Means, ensemble technique Bagging (random forest), boosting technique (ADA Boost, GRADIENT Boost). Worked with deep learning neural networks such as ANN, CNN, RNN while developingthe deep learning models. Used NLP in text classification, topic modelling with NMF and LDA, text generation using LSTM and neural networks. Worked on Google Cloud Environment. Having good knowledge in customer Analytics.Domain Experience :1. Banking2. Health Care3. RetailTOOLS :# Jupyter Notebook.# Pycharm,# Google Collab# Visualization with Tableau

Experience

1. Consultant - Data & Ai Usi

   Deloitte

   Sep 2024 — Present · Bengaluru, IN

   Bengaluru, Karnataka, India

Education

• Birla Institute of Technology and Science, Pilani

  Master of Technology - MTech

  2019 — 2021

• Jawaharlal Nehru Technological University

  Bachelor’s Degree

  2012 — 2016

Skills

• Web Applications
• Sql
• C
• Java
• Php
• Windows App Development
• Html