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Ankush Bhise
Mumbai, India
I have experience in analysis and modelling and visualization of data in different fields such as showroom inventory data, financial time series data and Real-time image data from security cameras. I have a strong understanding of machine learning algorithms and proficient in python programming. I am capable of working on challenging problems without any hesitation.
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
104.6
CodersRank Rank
Top 5%
Highest experience points: 0 points,
0 activities in the last year
Python
33.6
exp.
JavaScript
23.2
exp.
CSS
22.9
exp.
HTML
22.8
exp.
Batchfile
2.1
exp.
List your work history, including any contracts or internships
Critical Facility Digital India Pvt Ltd
May 2021 - Dec 2021 (7 months)
Machine Learning Engineer
Energy consumption optimasations
TradePath Capital LLC
Dec 2019 - May 2021 (1 year 5 months)
Senior Data Analyst
> Building cloud-based batch processing pipelines for generating analysis reports
> Creating web apps for visualization of reports
> Working on building Python modules for statistical analysis of intraday market trading data.
> Working on solving optimization problems using machine learning algorithms.
> Automating various data preprocessing tasks by creating python modules for the same.
> Creating web apps for visualization of reports
> Working on building Python modules for statistical analysis of intraday market trading data.
> Working on solving optimization problems using machine learning algorithms.
> Automating various data preprocessing tasks by creating python modules for the same.
LIVEWIRE India
Sep 2019 - Nov 2019 (2 months)
Artificial intelligence
Work on computer vision project of smart attendance systems with face recognition.
Wrote python modules for face detection, identification of personal, verification those personal with the company database for authentication and Marking their attendance in the database.
Created dashboards for new user enrolment, removing existing user or checking their attendance.
Wrote python modules for face detection, identification of personal, verification those personal with the company database for authentication and Marking their attendance in the database.
Created dashboards for new user enrolment, removing existing user or checking their attendance.
Add some compelling projects here to demonstrate your experience
DataBaseOps - Python library
Aug 2020 - Present
Created python library for database operations like read the table, filter table, sort table, drop duplicate values, find data types of columns, etc. The objective of the project is to create a complete frame to perform an operation on SQL and No-SQL database with ease of python without writing queries. Currently, version 1.0.0 contains My-SQL single table operation and other operations are in the development phase.
Trading Strategy Dashboard
Jul 2020 - Dec 2020
Made a dashboard using Plotly-Dash and deployed it using Flask. The dashboard is used to generate inference from backtested trades. It is a multi tabular dashboard with graphs such as pivot tables, Venn diagrams etc. All graphs are dynamic/interactive ie. user can change certain dials to change variables and get results dynamically.
Variable Range Optimizer
Mar 2020 - Jun 2020
Created a genetic algorithm based range optimizer for finding the feasible range for the variables of trades data thereby finding ranges with maximum profit. The model optimizes variables range based on an objective function. This project was built in python without using any third-party library for optimization, only used built-in libraries of python.
Convolutional Neural Networks
Oct 2021
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Oct 2021
Neural Networks and Deep Learning
Sep 2021