Resume: Education Details 
   B.Tech   Rayat and Bahra Institute of Engineering and Biotechnology
  Data Science 
  
  Data Science
  Skill Details 
  Numpy- Exprience - Less than 1 year months
  Machine Learning- Exprience - Less than 1 year months
  Tensorflow- Exprience - Less than 1 year months
  Scikit- Exprience - Less than 1 year months
  Python- Exprience - Less than 1 year months
  GCP- Exprience - Less than 1 year months
  Pandas- Exprience - Less than 1 year months
  Neural Network- Exprience - Less than 1 year monthsCompany Details 
  company - Wipro
  description - Bhawana Aggarwal
  E-Mail:bhawana.chd@gmail.com
  Phone: 09876971076
  VVersatile, high-energy professional targeting challenging assignments in Machine
  PROFILE SUMMARY
  âª An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine
  Learning, Deep Learning, Data Science, Python, Software Development.
  âª Skilled in managing end-to-end development and software products / projects from inception, requirement
  specs, planning, designing, implementation, configuration and documentation.
  âª Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network,
  NLP, GCP.
  âª Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks.
  âª Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off,
  Support vector Machine(SVM),Logistic Regression, Neural networks.
  âª Have knowledge on unsupervised, Supervised and reinforcement data.
  âª Programming experience in relational platforms like MySQL,Oracle.
  âª Have knowledge on Some programming language like C++,Java.
  âª Experience in cloud based environment like Google Cloud.
  âª Working on different Operating System like Linux, Ubuntu, Windows.
  âª Good interpersonal and communication skills.
  âª Problem solving skills with the ability to think laterally, and to think with a medium term and long term
  perspective
  âª Flexibility and an open attitude to change.
  âª Ability to create, define and own frameworks with a strong emphasis on code reusability.
  TECHNICAL SKILLS
  Programming Languages Python, C
  Libraries Seaborn, Numpy, Pandas, Cufflinks, Matplotlib
  Algorithms
  KNN, Decision Tree, Linear regression, Logistic Regression, Neural Networks, K means clustering,
  Tensorflow, SVM
  Databases SQL, Oracle
  Operating Systems Linux, Window
  Development Environments NetBeans, Notebooks, Sublime
  Ticketing tools Service Now, Remedy
  Education
  UG Education:
  B.Tech (Computer Science) from Rayat and Bahra Institute of Engineering and Biotechnology passed with 78.4%in
  2016.
  Schooling:
  XII in 2012 from Moti Ram Arya Sr. Secondary School(Passed with 78.4%)
  X in 2010 from Valley Public School (Passed with 9.4 CGPA)
  WORK EXPERINCE
  Title : Wipro Neural Intelligence Platform
  Team Size : 5
  Brief: Wiproâs Neural Intelligence Platform harnesses the power of automation and artificial intelligence
  technologiesânatural language processing (NLP), cognitive, machine learning, and analytics. The platform
  comprises three layers: a data engagement platform that can easily access and manage multiple structured and
  unstructured data sources; an âintent assessment and reasoningâ engine that includes sentiment and predictive
  analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed
  automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning,
  NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be
  eliminated.
  Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like
  dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU apiâs and machine learning using
  Tensor flow for further learning of new entities.
  Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn
  classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best
  suited response and make the system efficient.
  NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills,
  Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities
  using Keras TensorFlow framework.
  OTHER PROJECTS
  Title : Diabetes Detection
  Brief : Developed the software which can detect whether the person is suffering from Diabetes or not and got the third
  prize in it.
  TRAINING AND CERTIFICATIONS
  Title: Python Training, Machine Learning, Data Science, Deep Learning
  Organization: Udemy, Coursera (Machine Learning, Deep Learning)
  Personal Profile
  Fatherâs Name :Mr. Tirlok Aggarwal
  Language Known : English & Hindi
  Marital Status :Single
  Date of Birth(Gender):1993-12-20(YYYY-MM-DD) (F)
  company - Wipro
  description - Developing programs in Python.
  company - Wipro
  description - Title : Wipro Neural Intelligence Platform
  Team Size : 5
  Brief: Wiproâs Neural Intelligence Platform harnesses the power of automation and artificial intelligence
  technologiesânatural language processing (NLP), cognitive, machine learning, and analytics. The platform
  comprises three layers: a data engagement platform that can easily access and manage multiple structured and
  unstructured data sources; an âintent assessment and reasoningâ engine that includes sentiment and predictive
  analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed
  automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning,
  NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be
  eliminated.
  Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like
  dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU apiâs and machine learning using
  Tensor flow for further learning of new entities.
  Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn
  classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best
  suited response and make the system efficient.
  NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills,
  Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities
  using Keras TensorFlow framework.
  company - Wipro Technologies
  description - An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine
  Learning, Deep Learning, Data Science, Python, Software Development.
  âª Skilled in managing end-to-end development and software products / projects from inception, requirement
  specs, planning, designing, implementation, configuration and documentation.
  âª Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network,
  NLP, GCP.
  âª Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks.
  âª Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off,
  Support vector Machine(SVM),Logistic Regression, Neural networks.
  âª Have knowledge on unsupervised, Supervised and reinforcement data.
  âª Programming experience in relational platforms like MySQL,Oracle.
  âª Have knowledge on Some programming language like C++,Java.
  âª Experience in cloud based environment like Google Cloud.
  âª Working on different Operating System like Linux, Ubuntu, Windows.
  âª Good interpersonal and communication skills.
  âª Problem solving skills with the ability to think laterally, and to think with a medium term and long term
  perspective
  âª Flexibility and an open attitude to change.
  âª Ability to create, define and own frameworks with a strong emphasis on code reusability.