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Ashish Kumar Tiwari
Machine Learning Engineer
Machine Learning Engineer with Computer science and mathematics background and 2 years of
experience in data extraction, data cleansing, modelling and data prepossessing algorithms to solve
challenging business problems. Involved in Python open source community and looking for an
opportunity in field of Machine learning and Natural language processing.
Ashish_Tiwari70@yahoo.com (+91) 9935984031 Chennai, India 10 April, 1994
WORK EXPERIENCE
03/2018 – Present
Machine Learning Engineer
Tata Consultancy Services
Chennai,India
Currently working in TCS Innovation Labs
Understanding business objectives and developing models
that help to achieve them, along with metrics.
Analyzing the ML algorithms that could be used to solve
given problem and ranking them by their success probability.
Exploring and visualizing data to gain understanding of it.
Verifying data quality, and/or ensuring it via data cleaning
Finding available datasets online that could be used for
training
Defining the preprocessing or feature engineering to be
done on a given dataset
Training models and tuning their hyperparameters
Analyzing the errors of the model and designing strategies
to overcome them
08/2016 – 02/2018
Automation Test Engineer
Tata Consultancy Services
Chennai,India
Developed 2 End to End flows for different standalone sub
applications for health checkup on the daily basis.
Experience in GIT(Bit-Bucket) for version control
Experience in working with Selenium Web Driver using Java
and Gradle framework.
Developed Keyword Driven Framework Using UFT/QTP tool
using Vbscript.
EDUCATION
2012 – 2016
Bachelors of Technology (Computer science)
Uttar Pradesh Technical University
Merrut, India
Completed Mobile Application Development and
Deployment using IBM Work-light and on Mobile App related
to tourism using Eclipse and Android SDK with MySQL Server
Completed Java Development SE6 from Oracle Workforce
Development on a project related to RTO management
Office using NetBeans and Java AWT
SKILLS
Java Python Data Manipulation Statistics
NLP AWS Regression Classification GIT
Gradle Maven Algorithms Numpy Scikit
Pandas XGBoost Logistics MYSql KNN
TensorFlow Keras Data Structure TeamCity
PROJECTS
CQD ( Custom Query Divider )
The projects was to analyze consumer's comment in order to
develop a model for classifying categories. It requires feature
engineering, data processing and generate pipeline as part of poc
Developed a XGboost Classifier in python using nltk, word2vec and
TfIdfVectorizer for Incident Management to classify the user’s
request into categories. i.e. Compliant /Query etc with deployment
on AWS EC2 instance.
FAM (Fitness Activity Module)
The purpose of the usecase to segregate activities into different
type like walk/Run/Stand etc, So that these details can be used to
build in an App for Tracking of Walking/Running
Developed a Random Forest classifier for Activity Recognition to
distinguish an activity into one of activities using various classifier
like Logistics, SVM, Random Forest and XGBoost with Hyper
parameter tuning and cross validation.
FA-APO (Accounts Planning & Optimization)
The objective was to work on various types of account and to
distinguishes only active account among others, So that other can
be removed like Closed/Deceased and optimize the FA's record for
better
Worked on feature engineering and dimension decomposition
using PCA/NMF and then developed an Isolation forest/Local
outlier factor based pipeline on top of that for clustering the
accounts
LANGUAGES
English
Native or Bilingual Proficiency
Hindi
Native or Bilingual Proficiency
INTERESTS
Content Writing Singing Cycling Reading
Responsibilities
Responsibilities
Projects

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Short Resume of Ashish Kumar Tiwari

  • 1. Ashish Kumar Tiwari Machine Learning Engineer Machine Learning Engineer with Computer science and mathematics background and 2 years of experience in data extraction, data cleansing, modelling and data prepossessing algorithms to solve challenging business problems. Involved in Python open source community and looking for an opportunity in field of Machine learning and Natural language processing. Ashish_Tiwari70@yahoo.com (+91) 9935984031 Chennai, India 10 April, 1994 WORK EXPERIENCE 03/2018 – Present Machine Learning Engineer Tata Consultancy Services Chennai,India Currently working in TCS Innovation Labs Understanding business objectives and developing models that help to achieve them, along with metrics. Analyzing the ML algorithms that could be used to solve given problem and ranking them by their success probability. Exploring and visualizing data to gain understanding of it. Verifying data quality, and/or ensuring it via data cleaning Finding available datasets online that could be used for training Defining the preprocessing or feature engineering to be done on a given dataset Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them 08/2016 – 02/2018 Automation Test Engineer Tata Consultancy Services Chennai,India Developed 2 End to End flows for different standalone sub applications for health checkup on the daily basis. Experience in GIT(Bit-Bucket) for version control Experience in working with Selenium Web Driver using Java and Gradle framework. Developed Keyword Driven Framework Using UFT/QTP tool using Vbscript. EDUCATION 2012 – 2016 Bachelors of Technology (Computer science) Uttar Pradesh Technical University Merrut, India Completed Mobile Application Development and Deployment using IBM Work-light and on Mobile App related to tourism using Eclipse and Android SDK with MySQL Server Completed Java Development SE6 from Oracle Workforce Development on a project related to RTO management Office using NetBeans and Java AWT SKILLS Java Python Data Manipulation Statistics NLP AWS Regression Classification GIT Gradle Maven Algorithms Numpy Scikit Pandas XGBoost Logistics MYSql KNN TensorFlow Keras Data Structure TeamCity PROJECTS CQD ( Custom Query Divider ) The projects was to analyze consumer's comment in order to develop a model for classifying categories. It requires feature engineering, data processing and generate pipeline as part of poc Developed a XGboost Classifier in python using nltk, word2vec and TfIdfVectorizer for Incident Management to classify the user’s request into categories. i.e. Compliant /Query etc with deployment on AWS EC2 instance. FAM (Fitness Activity Module) The purpose of the usecase to segregate activities into different type like walk/Run/Stand etc, So that these details can be used to build in an App for Tracking of Walking/Running Developed a Random Forest classifier for Activity Recognition to distinguish an activity into one of activities using various classifier like Logistics, SVM, Random Forest and XGBoost with Hyper parameter tuning and cross validation. FA-APO (Accounts Planning & Optimization) The objective was to work on various types of account and to distinguishes only active account among others, So that other can be removed like Closed/Deceased and optimize the FA's record for better Worked on feature engineering and dimension decomposition using PCA/NMF and then developed an Isolation forest/Local outlier factor based pipeline on top of that for clustering the accounts LANGUAGES English Native or Bilingual Proficiency Hindi Native or Bilingual Proficiency INTERESTS Content Writing Singing Cycling Reading Responsibilities Responsibilities Projects