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$25 USD / heure
Drapeau de BANGLADESH
dhaka, bangladesh
$25 USD / heure
Il est actuellement 5:13 PM ici
Rejoint le juin 25, 2013
0 Recommandations

Sk F.

@skfarhad97

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$25 USD / heure
Drapeau de BANGLADESH
dhaka, bangladesh
$25 USD / heure
N/A
Travaux complétés
N/A
Suivant le budget
N/A
Dans les temps
N/A
Taux de réembauche

Django | Python | AI | AWS | Algorithmic trading

I have professional experience with Python, Django, SQL/NoSQL Databases, AWS, and Server automation technologies for more than 6 years. Mostly worked on the Back-End and used Python based frameworks to develop APIs for mobile/web apps, ETL Processes and Data Pipelines. Currently working at ACI Limited which is a large conglomerate in Bangladesh. My services: - Back-End/API development for Web/Mobile apps - Algorithmic/Automated trading system development with Interactive broker and similar platforms - ETL process development - Web scraping and data aggregation - Excel sheet automation - Computer vision based solution development - Predictive analysis
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Portfolio

10329277
Python Library for fetching data from Dhaka Stock Exchange
10329271
- Daily Plus is an e-commerce platform for grocery shopping. - Consists of android and iOS apps, a customer web portal, and an admin panel. - Was the technical lead of the project and contributed to the development of the Back-End. - Also coordinated the Front-End developers, UX designers, and app developers of the team. - The Back-End of the platform was developed using Python and Django REST Framework. - A managed AWS PostgreSQL RDS was used as the main database. The application was hosted on the AWS EC2 Ubuntu server. - Initially tried to use Oscar which is a Django-based E-Commerce framework with built-in features. - But later developed it from the scratch due to some unique features that we needed like product delivery tracking and multi-warehouse inventory management. URL: https://dailyplus.store/
Daily Plus e-commerce platform for grocery shopping
- Daily Plus is an e-commerce platform for grocery shopping. - Consists of android and iOS apps, a customer web portal, and an admin panel. - Was the technical lead of the project and contributed to the development of the Back-End. - Also coordinated the Front-End developers, UX designers, and app developers of the team. - The Back-End of the platform was developed using Python and Django REST Framework. - A managed AWS PostgreSQL RDS was used as the main database. The application was hosted on the AWS EC2 Ubuntu server. - Initially tried to use Oscar which is a Django-based E-Commerce framework with built-in features. - But later developed it from the scratch due to some unique features that we needed like product delivery tracking and multi-warehouse inventory management. URL: https://dailyplus.store/
Daily Plus e-commerce platform for grocery shopping
- Daily Plus is an e-commerce platform for grocery shopping. - Consists of android and iOS apps, a customer web portal, and an admin panel. - Was the technical lead of the project and contributed to the development of the Back-End. - Also coordinated the Front-End developers, UX designers, and app developers of the team. - The Back-End of the platform was developed using Python and Django REST Framework. - A managed AWS PostgreSQL RDS was used as the main database. The application was hosted on the AWS EC2 Ubuntu server. - Initially tried to use Oscar which is a Django-based E-Commerce framework with built-in features. - But later developed it from the scratch due to some unique features that we needed like product delivery tracking and multi-warehouse inventory management. URL: https://dailyplus.store/
Daily Plus e-commerce platform for grocery shopping
- Daily Plus is an e-commerce platform for grocery shopping. - Consists of android and iOS apps, a customer web portal, and an admin panel. - Was the technical lead of the project and contributed to the development of the Back-End. - Also coordinated the Front-End developers, UX designers, and app developers of the team. - The Back-End of the platform was developed using Python and Django REST Framework. - A managed AWS PostgreSQL RDS was used as the main database. The application was hosted on the AWS EC2 Ubuntu server. - Initially tried to use Oscar which is a Django-based E-Commerce framework with built-in features. - But later developed it from the scratch due to some unique features that we needed like product delivery tracking and multi-warehouse inventory management. URL: https://dailyplus.store/
Daily Plus e-commerce platform for grocery shopping
10329264
- Dingi Life is a lifestyle app based on map and navigation features along with other real-time location-related services. - Worked on the Data Pipeline automation for the Back-End of this application. - Used Python, Django, Celery, JavaScript, and Node.js. for implementing various modules of the data Pipeline. - The Pipeline system collects crowd-sourced and publicly available raw data and stores it in intermediate unstructured storage. - Then those unstructured data get transformed and stored in the production database. - The processes are automated using Celery, Redis, and Cron. - The back-end of the application was hosted in AWS EC2 using Docker. URL: https://www.dingi.tech/dingi_life.php
Dingi Life
- Dingi Life is a lifestyle app based on map and navigation features along with other real-time location-related services. - Worked on the Data Pipeline automation for the Back-End of this application. - Used Python, Django, Celery, JavaScript, and Node.js. for implementing various modules of the data Pipeline. - The Pipeline system collects crowd-sourced and publicly available raw data and stores it in intermediate unstructured storage. - Then those unstructured data get transformed and stored in the production database. - The processes are automated using Celery, Redis, and Cron. - The back-end of the application was hosted in AWS EC2 using Docker. URL: https://www.dingi.tech/dingi_life.php
Dingi Life
- Dingi Life is a lifestyle app based on map and navigation features along with other real-time location-related services. - Worked on the Data Pipeline automation for the Back-End of this application. - Used Python, Django, Celery, JavaScript, and Node.js. for implementing various modules of the data Pipeline. - The Pipeline system collects crowd-sourced and publicly available raw data and stores it in intermediate unstructured storage. - Then those unstructured data get transformed and stored in the production database. - The processes are automated using Celery, Redis, and Cron. - The back-end of the application was hosted in AWS EC2 using Docker. URL: https://www.dingi.tech/dingi_life.php
Dingi Life
- Dingi Life is a lifestyle app based on map and navigation features along with other real-time location-related services. - Worked on the Data Pipeline automation for the Back-End of this application. - Used Python, Django, Celery, JavaScript, and Node.js. for implementing various modules of the data Pipeline. - The Pipeline system collects crowd-sourced and publicly available raw data and stores it in intermediate unstructured storage. - Then those unstructured data get transformed and stored in the production database. - The processes are automated using Celery, Redis, and Cron. - The back-end of the application was hosted in AWS EC2 using Docker. URL: https://www.dingi.tech/dingi_life.php
Dingi Life
10329256
It's a complete task and field force management system. - The platform consists of a Manager app, Web Dashboard & Agent App for the field force. - Was the lead developer of the project and worked in the Back-End. - Also coordinated the Front-End developers, UX designers, and App developers in the team. - The Back-End of Teamwork was implemented using Python and Django. - Git was the version control that we used. - PostgreSQL was used as the main database. - The solution was hosted in AWS EC2 using Docker. - Nginx was used as a Proxy on top of Gunicorn in the EC2 Ubuntu server. - Firebase was used for real-time messaging and notifications. URL: https://www.dingi.tech/teamwork.php
Teamwork field-force and task management platform
It's a complete task and field force management system. - The platform consists of a Manager app, Web Dashboard & Agent App for the field force. - Was the lead developer of the project and worked in the Back-End. - Also coordinated the Front-End developers, UX designers, and App developers in the team. - The Back-End of Teamwork was implemented using Python and Django. - Git was the version control that we used. - PostgreSQL was used as the main database. - The solution was hosted in AWS EC2 using Docker. - Nginx was used as a Proxy on top of Gunicorn in the EC2 Ubuntu server. - Firebase was used for real-time messaging and notifications. URL: https://www.dingi.tech/teamwork.php
Teamwork field-force and task management platform
10329253
- Dingi Map API is a platform that is a cost-effective alternative to Google location API service for the clients of Bangladesh. - The solution includes a JavaScript Map API and SDK and corresponding Android SDK. - Took over the project after the initial developers left the company. - Had the responsibility to refactor the code base, deploy the application in a production setup and scale it to handle the traffic from large enterprise customers. - The Back-End of the Map API service was implemented using Python and Django REST Framework. - PostgreSQL was used as the main database holding user and service-based information. - Elasticsearch was used to serve the location-based APIs. - The solution was hosted in AWS EC2 services using AWS ELB and AutoScaling. - Docker was used to containerize the application. - Nginx was used inside EC2 as a Proxy. URL: https://www.dingi.tech/api.php
Dingi Map API Service
10329243
- The project goal was to detect anomalies in monthly KPIs for all ACI employees from various businesses. - The monthly KPI data was provided through an MS SQL database. - Was the sole developer of this project. - Used several statistical methods like Z-score and Quartile to detect the outliers. - It was implemented using Python, SciPy, Pandas, and Scikit-Learn libraries. - The results are written back to an MS SQL database which is used by the report web application. - The result generation process is automated by Cronjobs in an Ubuntu server. The analysis is being used by the business heads of ACI Group for analyzing employee KPIs. I improved the speed of detecting KPI anomalies by 200% compared to previous anomaly detection process. The accuracy also improved by 25%. URL: http://dashboard.acigroup.info/kpireport/processkpi
KPI Anomaly Detection
- The project goal was to detect anomalies in monthly KPIs for all ACI employees from various businesses. - The monthly KPI data was provided through an MS SQL database. - Was the sole developer of this project. - Used several statistical methods like Z-score and Quartile to detect the outliers. - It was implemented using Python, SciPy, Pandas, and Scikit-Learn libraries. - The results are written back to an MS SQL database which is used by the report web application. - The result generation process is automated by Cronjobs in an Ubuntu server. The analysis is being used by the business heads of ACI Group for analyzing employee KPIs. I improved the speed of detecting KPI anomalies by 200% compared to previous anomaly detection process. The accuracy also improved by 25%. URL: http://dashboard.acigroup.info/kpireport/processkpi
KPI Anomaly Detection
10329277
Python Library for fetching data from Dhaka Stock Exchange
10329271
- Daily Plus is an e-commerce platform for grocery shopping. - Consists of android and iOS apps, a customer web portal, and an admin panel. - Was the technical lead of the project and contributed to the development of the Back-End. - Also coordinated the Front-End developers, UX designers, and app developers of the team. - The Back-End of the platform was developed using Python and Django REST Framework. - A managed AWS PostgreSQL RDS was used as the main database. The application was hosted on the AWS EC2 Ubuntu server. - Initially tried to use Oscar which is a Django-based E-Commerce framework with built-in features. - But later developed it from the scratch due to some unique features that we needed like product delivery tracking and multi-warehouse inventory management. URL: https://dailyplus.store/
Daily Plus e-commerce platform for grocery shopping
- Daily Plus is an e-commerce platform for grocery shopping. - Consists of android and iOS apps, a customer web portal, and an admin panel. - Was the technical lead of the project and contributed to the development of the Back-End. - Also coordinated the Front-End developers, UX designers, and app developers of the team. - The Back-End of the platform was developed using Python and Django REST Framework. - A managed AWS PostgreSQL RDS was used as the main database. The application was hosted on the AWS EC2 Ubuntu server. - Initially tried to use Oscar which is a Django-based E-Commerce framework with built-in features. - But later developed it from the scratch due to some unique features that we needed like product delivery tracking and multi-warehouse inventory management. URL: https://dailyplus.store/
Daily Plus e-commerce platform for grocery shopping
- Daily Plus is an e-commerce platform for grocery shopping. - Consists of android and iOS apps, a customer web portal, and an admin panel. - Was the technical lead of the project and contributed to the development of the Back-End. - Also coordinated the Front-End developers, UX designers, and app developers of the team. - The Back-End of the platform was developed using Python and Django REST Framework. - A managed AWS PostgreSQL RDS was used as the main database. The application was hosted on the AWS EC2 Ubuntu server. - Initially tried to use Oscar which is a Django-based E-Commerce framework with built-in features. - But later developed it from the scratch due to some unique features that we needed like product delivery tracking and multi-warehouse inventory management. URL: https://dailyplus.store/
Daily Plus e-commerce platform for grocery shopping
- Daily Plus is an e-commerce platform for grocery shopping. - Consists of android and iOS apps, a customer web portal, and an admin panel. - Was the technical lead of the project and contributed to the development of the Back-End. - Also coordinated the Front-End developers, UX designers, and app developers of the team. - The Back-End of the platform was developed using Python and Django REST Framework. - A managed AWS PostgreSQL RDS was used as the main database. The application was hosted on the AWS EC2 Ubuntu server. - Initially tried to use Oscar which is a Django-based E-Commerce framework with built-in features. - But later developed it from the scratch due to some unique features that we needed like product delivery tracking and multi-warehouse inventory management. URL: https://dailyplus.store/
Daily Plus e-commerce platform for grocery shopping
10329264
- Dingi Life is a lifestyle app based on map and navigation features along with other real-time location-related services. - Worked on the Data Pipeline automation for the Back-End of this application. - Used Python, Django, Celery, JavaScript, and Node.js. for implementing various modules of the data Pipeline. - The Pipeline system collects crowd-sourced and publicly available raw data and stores it in intermediate unstructured storage. - Then those unstructured data get transformed and stored in the production database. - The processes are automated using Celery, Redis, and Cron. - The back-end of the application was hosted in AWS EC2 using Docker. URL: https://www.dingi.tech/dingi_life.php
Dingi Life
- Dingi Life is a lifestyle app based on map and navigation features along with other real-time location-related services. - Worked on the Data Pipeline automation for the Back-End of this application. - Used Python, Django, Celery, JavaScript, and Node.js. for implementing various modules of the data Pipeline. - The Pipeline system collects crowd-sourced and publicly available raw data and stores it in intermediate unstructured storage. - Then those unstructured data get transformed and stored in the production database. - The processes are automated using Celery, Redis, and Cron. - The back-end of the application was hosted in AWS EC2 using Docker. URL: https://www.dingi.tech/dingi_life.php
Dingi Life
- Dingi Life is a lifestyle app based on map and navigation features along with other real-time location-related services. - Worked on the Data Pipeline automation for the Back-End of this application. - Used Python, Django, Celery, JavaScript, and Node.js. for implementing various modules of the data Pipeline. - The Pipeline system collects crowd-sourced and publicly available raw data and stores it in intermediate unstructured storage. - Then those unstructured data get transformed and stored in the production database. - The processes are automated using Celery, Redis, and Cron. - The back-end of the application was hosted in AWS EC2 using Docker. URL: https://www.dingi.tech/dingi_life.php
Dingi Life
- Dingi Life is a lifestyle app based on map and navigation features along with other real-time location-related services. - Worked on the Data Pipeline automation for the Back-End of this application. - Used Python, Django, Celery, JavaScript, and Node.js. for implementing various modules of the data Pipeline. - The Pipeline system collects crowd-sourced and publicly available raw data and stores it in intermediate unstructured storage. - Then those unstructured data get transformed and stored in the production database. - The processes are automated using Celery, Redis, and Cron. - The back-end of the application was hosted in AWS EC2 using Docker. URL: https://www.dingi.tech/dingi_life.php
Dingi Life
10329256
It's a complete task and field force management system. - The platform consists of a Manager app, Web Dashboard & Agent App for the field force. - Was the lead developer of the project and worked in the Back-End. - Also coordinated the Front-End developers, UX designers, and App developers in the team. - The Back-End of Teamwork was implemented using Python and Django. - Git was the version control that we used. - PostgreSQL was used as the main database. - The solution was hosted in AWS EC2 using Docker. - Nginx was used as a Proxy on top of Gunicorn in the EC2 Ubuntu server. - Firebase was used for real-time messaging and notifications. URL: https://www.dingi.tech/teamwork.php
Teamwork field-force and task management platform
It's a complete task and field force management system. - The platform consists of a Manager app, Web Dashboard & Agent App for the field force. - Was the lead developer of the project and worked in the Back-End. - Also coordinated the Front-End developers, UX designers, and App developers in the team. - The Back-End of Teamwork was implemented using Python and Django. - Git was the version control that we used. - PostgreSQL was used as the main database. - The solution was hosted in AWS EC2 using Docker. - Nginx was used as a Proxy on top of Gunicorn in the EC2 Ubuntu server. - Firebase was used for real-time messaging and notifications. URL: https://www.dingi.tech/teamwork.php
Teamwork field-force and task management platform
10329253
- Dingi Map API is a platform that is a cost-effective alternative to Google location API service for the clients of Bangladesh. - The solution includes a JavaScript Map API and SDK and corresponding Android SDK. - Took over the project after the initial developers left the company. - Had the responsibility to refactor the code base, deploy the application in a production setup and scale it to handle the traffic from large enterprise customers. - The Back-End of the Map API service was implemented using Python and Django REST Framework. - PostgreSQL was used as the main database holding user and service-based information. - Elasticsearch was used to serve the location-based APIs. - The solution was hosted in AWS EC2 services using AWS ELB and AutoScaling. - Docker was used to containerize the application. - Nginx was used inside EC2 as a Proxy. URL: https://www.dingi.tech/api.php
Dingi Map API Service
10329243
- The project goal was to detect anomalies in monthly KPIs for all ACI employees from various businesses. - The monthly KPI data was provided through an MS SQL database. - Was the sole developer of this project. - Used several statistical methods like Z-score and Quartile to detect the outliers. - It was implemented using Python, SciPy, Pandas, and Scikit-Learn libraries. - The results are written back to an MS SQL database which is used by the report web application. - The result generation process is automated by Cronjobs in an Ubuntu server. The analysis is being used by the business heads of ACI Group for analyzing employee KPIs. I improved the speed of detecting KPI anomalies by 200% compared to previous anomaly detection process. The accuracy also improved by 25%. URL: http://dashboard.acigroup.info/kpireport/processkpi
KPI Anomaly Detection
- The project goal was to detect anomalies in monthly KPIs for all ACI employees from various businesses. - The monthly KPI data was provided through an MS SQL database. - Was the sole developer of this project. - Used several statistical methods like Z-score and Quartile to detect the outliers. - It was implemented using Python, SciPy, Pandas, and Scikit-Learn libraries. - The results are written back to an MS SQL database which is used by the report web application. - The result generation process is automated by Cronjobs in an Ubuntu server. The analysis is being used by the business heads of ACI Group for analyzing employee KPIs. I improved the speed of detecting KPI anomalies by 200% compared to previous anomaly detection process. The accuracy also improved by 25%. URL: http://dashboard.acigroup.info/kpireport/processkpi
KPI Anomaly Detection

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Expérience

AI/ML Architect

ACI Limited
sept. 2020 - Jusqu'à présent
I’m working in the MIS department here and I lead projects that involve AL/ML and Data Science tools to gain insights from large amount of sales data, consumer transaction history and system logs. I also collaborate with Sales, Marketing, Business and Engineering teams to analyze the requirements of intelligent systems, design and implement data pipelines and visualization platforms.

Lead, IoT Enterprise

Dingi Technologies Ltd.
févr. 2019 - sept. 2020 (1 an, 7 mois)
Improved the Architecture of the Map based API Platforms. Developed Web applications using MAP APIs.

System Engineer

Dingi Technologies Limited
sept. 2017 - janv. 2019 (1 an, 4 mois)
Cooperating with front-end development team for MAP based services. Performing Application level programming for Embedded Systems and IOT devices. Performing API and client level testing.

Éducation

Bsc in Electrical and Electronics Engineering

Bangladesh University of Engineering and Technology, Bangladesh 2011 - 2015
(4 ans)

Contactez Sk F. concernant votre travail

Connectez-vous pour discuter de tous les détails via la messagerie.

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Meilleures compétences

C Programming
JavaScript
Python
Linux
Data Processing

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