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Python Developer

Whitefield, Karnataka, India
September 22, 2019

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Luvpreet kaur

*D-**, Isha Misty Green,

New Channasandra, Bengaluru – 560067

Phone no:- 991-***-****



Profile Summary

Experienced Machine Learning Developer with a demonstrated history of working on developing machine learning projects, deploying it on cloud platforms and making them as restful service using flask. Skilled in Python, Machine Learning, Deep Learning, Natural Language Processing, C++, R. Strong information technology professional with a Master of Technology (M.Tech.) focused in Computer science with gold medal.


Aug 2010 – Feb 2014 (Computer Science) from SBSSTC, Punjab with 80%.(Gold Medalist)

Did dissertation on topic:- Emulation of DdoS Defenses Using Deter TestBed.

Created an environment for experimentation on DETER Testbed with different experimental scenarios including legitimate traffic and attack traffic with defense have been created. The contribution to work is script in python for detection and mitigation of DoS attack.

Worked on Python, Deter- TestBed, Snort- IDS.

June 2006 – June 2010

B.Tech(Computer Science) LLRIET, Punjab with 79.69%. (2nd Topper in 3year)


June 2018 – till now

Machine Learning Developer

Paskon Information and Management Pvt. Ltd

Projects and Employment Summary

Classifying expense bills into categories using SAP Leonardo.

Conversational UI / Making of Chatbot using Dialogflow/RASA, ML- Engine, SLACK Apps and Worked on categories user queries into particular categories using Deep Learning/ Neural Networks

Extraction of Data from RAIN KING Documents for marketing.

Developed keyword extraction tool in python.

Currently Working on Recruitment Analytics Project

Conducting Technical interviews for team.

Dec 2012 – Dec 2013

Assistant Professor

Global Institute of Management and Emerging Technologies Punjab.

Subject Taught:- Object Oriented Programming, Software Engineering, Design and Analysis Algorithms, Python, Artificial Analysis, Linear Algebra

Aug 2010 – Dec 2012


Shaheed Bhagat Singh State Technical Campus, Punjab

Subject Taught:- Object Oriented Programming, Theory of Computation, Database Management System, Design and Analysis of Algorithms.


Programming Languages:- Python, R, C/C++.

Python Libraries known:- NumPy, Pandas, Matplotlib, Scikit Learn, Seaborn, Keras, NLTK, Tensorflow, Keras, Pytorch, Json, Flask.

Databases:-POSTGRE-SQL,Excel, SQL

IDE's:- Anaconda ( Jupyter Notebook, Spyder), Pycharm.

REST API's:- GET, POST Call creation in FLASK python Library.

Machine Learning Algorithms known :- Supervised Learning (Linear Regression, Logistic Regression, Random Forest (CART ), Naive Bayes, Support Vector(SVM), K-nearest Neighbor(KNN), Decision Tree), Apriori, Association Rule, Word Embedding (word2vec)

RestFull :- OpenApi (Swagger), Flask Micro-Framework

ChatBot Platforms:- Dialogflow, RASA

Erp Systems:- Odoo, Openbravo

Web development Framework:-Flask

Presentation and Visualization Tool:- Power Point, Microsoft Power BI

Operating Systems:- Windows, Linux, Ubuntu 16

Cloud PlatForms Worked On:- Google Cloud Platform, Amazon AWS Beanstalk, AWS Lambda

Non-technical:- Communication, Presentations, Public speaking.

Assignments in Machine learning, Deep learning and Natural Language Processing

Predicting survival of passengers on TITANIC DATASET using SKLEARN

Predicting on which project, activity and how many hour person will work based on his previous history using SKLEARN (RANDOM FOREST)

Resume Summary generation using NLTK

Predicting Handwritten digits using MNIST Dataset using KERAS

Sentiment Analysis using Natural Language Processing using NLTK

Text Classification on 20FETCHNEWSGROUP using SKLEARN, CNN, RNN

Predicting image given is of cat or dog using keras

Learning Projects:-

Resume Parser using Natural Language Processing ( Available on Gitub)

Text Classification using Deep Learning

WorkShop and Courses

Short – Term Course on Data Science From Sgraph Infotech Pvt. Ltd, Bengaluru from March 2018 – May 2018

During Training Learned:-

Python – Interpreted Programming Language.

Statistics and Linear Algebra.

Data Mining and Feature Selection

Machine Learning Algorithms (Supervised and Unsupervised Learning)

Natural Language Processing

Deep Learning


Attended Google Cloud OnBoard on March 28, 2019

Research Papers

Emulation of Snort on Deter Testbed in ijarcs.

Installation of Intrusion Detection System Snort on DETER TestBed in International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, No. 6, June 2013.

Awards:- Spot Award for Recruitment Analytics Project.

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