Data Analyst Engineer
Resume:
June **** - Present
Graduated**** - July
Siddharth Pathania
Bangalore, Karnataka, 560076
*******@*****.***
Summary
Data Analyst capable of merging traditional and non-traditional data in harmony using Python libraries. Performed data exploration and visualization with python, and can also build and test deep learning models using Keras and Tensorflow. Employment History
Windsor Infosys, Bengaluru, Karnataka
Data Analyst and ML Engineer
Working on data visualization, NLP(Natural language processing) and supervised machine learning for various projects in company.
Education
Chitkara University,
Bachelor's of Technology (Mechanical)
Projects and Trainings
Movie Recommendation Engine (Scikit Learn) - April 2019 Computed “cosine similarity” by Scikit Learn engine with inputs like genre, cast and other tags in the movie recommendation engine.
Classifying Cats vs Dogs with Convolutional Neural Network (CNN), TensorFlow and Keras - April 2019 Classifying the images of cats and dogs by building a deep learning model which consisted of CNN layer followed by dense layers.
Crime Analysis of India - February 2019
The main objective of this project is the analysis and visualization of crime in India (2001-2012). This is state-wise and district wise crime analysis. The analysis is done on certain topics and in a certain way. The analysis is done in jupyter notebook.
GitHub link: - https://github.com/sidd1196/Data-Analysis-and-Visualization Major project: - Working and analysis of Exhaust Gas Recirculation (EGR) - March 2018 The objective in vision for this project was to conduct a detailed study on the working of Exhaust Gas Recirculation (EGR) system.
Certifications
IBM Data Science Professional Certificate - August 2019 A Recommender System for Sports Shop - August 2019 The objective of this project is to build a recommender system which would help contractors decide where to open a new sports shop.
GitHub link: - https://github.com/sidd1196/Coursera_Capstone Professional Skills
Programming Language: Python.
Libraries: Pandas, matplotlib, plotly, numpy, scikit-learn, tkinter, dash, keras, TensorFlow, openCV.
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