Engineer Assistant
Resume:
Utkarsh Alok
BEML Layout., Whitefield, Bengaluru- 560037, India
*******.******@*****.*** Github
ACADEMIC QUALIFICATION
● B. Tech. (Computer Engineering), Heritage Institute of Technology 2013 – 2017
(affiliated to Maulana Abdul Kalam Azad University, Kolkata, West Bengal )
● All India Senior School Certificate Examination (CBSE), 2012 Jun 2012
Percentage : 87.2% GNHSSS,Ranchi, Jharkhand
PROFESSIONAL EXPERIENCE
Continental Automotive Components (Contract : Randstad India Pvt Ltd):
Validation Engineer Dec2019-Current
● Responsible for implementation of test cases, result analysis and improvement of existing
framework to include extra features when required.
● Development and integration of new features into the existing framework .
● Having hands-on knowledge SIL testing strategy in automotive domain .
● Implemented and assisted the development of a python framework to achieve full automation for
two modules .
Inscripta.AI : Machine Learning Engineer Mar2019-Oct2019
● Assisted in development of a product,Revlo, by adding NLP features into the existing
System. revlo.in .
● Developed and Optimized the Deep Learning Networks for various Image Processing
Problems.
● Identify key areas where machine learning could be applied to solve problems.
● Strong hold of concepts in Statistics with Hands-on experience in developing Machine
Learning and Deep Learning models which includes Recommendation System,
predictive Modelling, Image Augmentation etc.
● Research and development of Neural Machine Translator from English to Hindi.
● Deep Understanding of Machine Learning including KNN,SVM, Random Forest,
Logistic Regression etc.
● Training and evaluation of Reccurent Neural Network models like RNN, LSTM .
● Experience with performance analysis, optimizations and benchmark evaluations.
Tata Consultancy Services Ltd : Assistant System Engineer Sep2017-Jan2019
● Worked in Retail project having knowledge of retail domain
● Code changes according to requirements and Debugging,Built schedules and monitored them.
● Experience with Purchase Order Management.
● Experienced in project phases with Agile Methodologies which allowed direct visibility with
client .
● Participated in Daily scrum, code review, bug reporting and Sprint retrospective.
● Experience with Kanban process of working.
ACADEMIC PROJECTS :
● Completed Project under Prof. Mandakini Mazumdar – Bio-Surveillance using Mar 2017
NLTK (NLP)
● Research & Analysis. (It is a system that suggests non prescriptive drugs and disease name based on
Medical extract. It is based on natural language processing to extract related
Information.)
ACHIEVEMENTS :
● Placed in top 40 (1723)% in INCEDO Datascience and NLP Challenge,2019
● Placed in top 3% Participated in BrainWaves Machine Learning Challenge.
● Participated in Jharkhand Hackathon organised by Government of Jharkhand.
● Secured AIR 3033 in GATE 2019
● Participated in Shell.Ai Hackathon (Ongoing),2020 .
MISCELLANEOUS PROJECTS :
● Neural Machine Translator
Created Neural Machine Translator which convert the language from English to Hindi .The
model used the concept of simple Sequence to sequence Encoder Decoder Architecture
. Study of human way of translating by using same Encoder Decoder Technique with Attention
Mechanism .
● Human Activity Recognition System
Data collected from accelerometer and gyroscope of all the three axial to help predicting
the human activity .
Model designed using state of the art method of Divide and Conquer-Based using 1D CNN .
Achieved a validation accuracy of 95 % through a deep learning model to on unstructured
dataset and hyper parameter tuning using Hyperas.
● Customer Churn Prediction : KDD Cup 2009
Created a machine learning model that predicts the customer churn ( propensity of customers
to switch provider ), appetency (buy new products or services) and upselling (buy upgrades or
add-ons proposed to them) .The overall AUC was 0.81.The challenge was to beat the in-house
system developed by OrangeLabs.
Handling of missing values and imbalanced class
● Malaria Classification using Bounding Box
Extracted each cell from Images of group of cells consisting among 2 types of infected and 4 types
of uninfected cells and did a classification task
Highly imbalanced Dataset . Got F1-score of 0.6 .
TECHNICAL SKILLS
● Python 2.7/3.5 (Proficient), C++ (Intermediate),
● Deep Learning Frameworks: Keras (Proficient), Pytorch (Intermediate), Tensorflow
(Intermediate), Proficient in libararies like Sklearn,Scipy,Numpy,Pandas,Matplotlib etc.
● JIRA, Confluence, Agile,GIT, PyCharm
RESPONSIBILITIES
● Teacher Assistant for Multidisciplinary Natural Language Processing June 2016 - Oct 2016
Assisted the professor in organisation and drafting of course notes for 6 units.
EXTRACURRICULAR ACTIVITIES/OTHERS
● Excellent analytical and problem solving skills
● Eager to learn new technologies and methodologies
● Always willing to innovate the new thing which can improve the existing technology.
● Coordinator in Daksh 2014,HITK .
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