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PANKAJ (RID : 1ate6l8lpjp6v)

designation   Python Developer

location   Location : BANGALORE, India

experience   Experience : 12 Year

rate   Rate: $9 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 4
Total Views : 158
Key Skills
Python C++ C JIRA HTML LINUX GIT
Discription

Pankaj

SKILLS & INTERESTS

PROGRAMMING LANGUAGES

C, C++(5+ years), Python(4+ years), SQL, Octave, Matlab, HTML/CSS

DATA SCIENCE

Python, Numpy, TensorFlow, Keras, Statistics, Machine Learning and Deep Learning, CNN, RNN

MISCELLANEOUS

Data Structures, Git, Jira, Scipy, Matlab, Bash, and Linux, Numerical Linear Algebra.

WORK EXPERIENCE

, Programmer Analyst, Delhi, India Dec 2018 - Oct 2020 Ecommerce (Saltattire.com): Customer’s intent to buy detection algorithm, resulted in incease in 15% in overall sales, customer segmentation, bestsellers prediction using computer vision and NLP, Collective intel- ligence by analysing competitor’s data, Webscrapping for trends detection and new products, Building end to end data pipeline for business intelligence, identifying trends for scaling personalized web experiences for users.

Finance: Analyse stock, Future and Options data sets. Create, evaluate, and enhance mathematical models and streaming analytics pipelines. Use ML techniques and deep learning models to develop tools, analyse research papers for a trading signal.

Tools used: python, selenium, beautiful soup, pandas, numpy, scikit learn, tensorflow, c++.

, Simulation Engineer, Munich, Germany March 2018 - June 2018 Contribution in the development of a tool for input validation rules(for the front-end) for a given simulation analysis using annotations and reflection in Scala. Simulation results analysis using python.

Tools used: python, C++, numpy, pandas

, Research Assistant Oct 2015 - Mar 2016 Computational models for partial differential equations. Contributed in the development of C++ CFD code Jufire based on Finite element library dealii, building test cases for verification and convergence analysis. Designed exercises for students.

Tools used: python, numpy, scipy, C++

, Engineering Officer, India 2008 - 2013

Developed a real-time energy optimization model to reduce the energy costs of oil pipeline opera- tion(Mundra–Delhi–Pipeline) using python.

EDUCATION

DEEP LEARNING SPECIALIZATION June 2018 - Sept 2018

5 Course Certification track at coursera.org

Courses taken: Neural Networks and Deep Learning, Hyperparameter tuning, Regularization and Optimiza- tion, Structuring Machine Learning Projects, Convolutional Neural Networks, Sequence Models

MSC. COMPUTER SIMULATION IN SCIENCE - 2.6/4.0 (1.0 IS BEST) 2013 - 2016

University of Wuppertal, Germany

Subjects - Python, C++, Data Analysis, Image processing, Numerical Methods, Parallel Algorithms and Pro- gramming, Computer Simulation, Partial Differential Equations

B.E. MECHANICAL ENGINEERING 2004 - 2008

Delhi College of Engineering, Delhi, India

Bachelor of Engineering in Mechanical Engineering

WORK PROJECTS

BEST SELLER PREDICTION

Bestsellers prediction using the Long-term Recurrent Convolutional Neural Network after extracting the useful features i.e. words using TF-IDF, colour and the product image, with ROC greater than 0.60.

Tools used: Tensorflow, Keras, nltk, transfer learning, python, machine learning, computer vision

COLLECTIVE INTELLIGENCE

Designed a completely automated framework that analyses products on the competitor’s website, finds trends, bestseller’s features using a ML model on the top of the framework and product pricing analysis. Tools used: python, selenium, nltk, computer vision, tensorflow

ACADEMIC PROJECTS

FACE RECOGNITION

Built face recognition using Research paper Facenet published by google. Keras and Tensorflow deep learn- ing frameworks were used.

Tools used: Tensorflow, Keras.

Project Github link: https://github.com/pankajkumar9797/Face-Recognition

NAVIER STOKES EQUATION

Solves Navier-Stokes numerically using C++ code(based on finite element library package Deal.II)and simu- lation of laminar flow around a square obstacle.

Tools used: C++

Project Github link: https://github.com/pankajkumar9797/Navier-Stokes

CERTIFICATES

MACHINE LEARNING

Machine learning course completion certificate from Coursera, Stanford.

DEEP LEARNING

Neural Networks and Deep Learning completion certificate from Coursera, Stanford.

IMPROVING DEEP NEURAL NETWORKS

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, certificate from Coursera, Stanford.

CONVOLUTIONAL NEURAL NETWORKS

Convolutional Neural Networks completion certificate from Coursera, Stanford.

PERSONAL INFORMATION

NATIONALITY

Indian

LANGUAGES

English, Hindi, German(Basic)

INTEREST AREAS

Deep Learning, CNN, RNN, Genetic Programming, AI, Neuroscience.

GITHUB LINK

https://github.com/pankajkumar9797

LINKEDIN PROFILE

https://www.linkedin.com/in/pankaj-kumar-5b88691a/

 
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