Sk Golam Saroar

Software Engineer

Hello, I’m Saroar, Software Engineer with over three years of professional work experience.
My passion lies in machine learning, deep learning, data science, and software development.
I am skilled at Python, Java, JavaScript, SQL, Tensorflow, Git, AWS, Docker, Kubernetes and more.

About Me

  • Name: Sk Golam Saroar
  • Date of birth: 24 Oct 1995
  • Address: 1056/1 East Shewrapara, Dhaka
  • Nationality: Bangladeshi
  • Phone: (+880) 1521211926
  • Email: emailsaroar@gmail.com
  • Website: golamsaroar.com

Objective

Knowledge is power, but only if you can extract it from your data.
I want to help businesses process their data and glean insights from those in order to improve their products and services and better reach their target markets.

What I Do ?

My passion lies in discovering trends and patterns in large amounts of data, presenting information using data visualization techniques, developing predictive models and machine learning algorithms, and thus employing the full potential of large volumes of data. I am also skilled in software development using both frontend and backend technologies, as well as DevOps tools such as Git, Docker, Kubernetes, etc.

  • Frontend Development
  • Backend Development
  • Machine Learning
  • Predictive Modeling
  • Data Transformation
  • Data Visualization
  • Data Modeling
  • Model Development

Interests

I educate, refine, and drive myself to be a better person. I enjoy meeting new people and hearing new perspectives.
When I am not working, nor taking another specialization on Coursera, I love to read books or write on my blog. Occasionally I make trips with my friends or go out and eat Biriyani.

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Resume

Work Experience

  • 2019-Present
    Dynamic Solution Innovators Ltd

    Machine Learning Engineer

    - Fraud detection from credit-card transactions.
    - Real-time Twitter sentiment analysis for brand improvement
    - Employee turnover prediction
    - Bank customer segmentation
    - Next-content recommendation

  • 2017-2019
    Dynamic Solution Innovators Ltd

    Software Engineer

    - Built HATEOAS driven REST APIs using Spring Boot.
    - Migrated database vendor from Oracle to PostgreSQL
    - Improved browser support by migrating from jQuery 1.4.1 to 3.2.1
    - Made the entire project Accessible (508 compliant) and Responsive
    - Participated in design and code reviews.
    - Involved in debugging and troubleshooting issues and fixed bugs.
    - Trained new employees on Design Patterns and JavaScript

  • 2017-2017
    Bit Mascot (Pvt) Ltd, Dhaka

    Software Engineer

    Worked on a custom CMS built with Grails.
    Created a few Grails plugin.
    Fixed bugs and wrote proper documentations.

Education

  • 2013-2017

    Bachelor degree certificate

    B.Sc in Computer Science & Engineering, BRAC University
    CGPA 3.54 (On a Scale of 4)

    Graduated with distinction. I was also listed into the Dean's list and the Vice Chancellor's list.

Skills

Python

80%

Java

85%

JavaScript

88%

SQL

90%

Tensorflow

85%

AWS

65%

Docker

80%

Kubernetes

50%

Git

95%

DS & Algorithm

77%

More skills

Scikit-Learn
Pandas
Numpy
Matplotlib
Seaborn
OpenCV

Certificates

AWS Cloud Practitioner Certificate
AWS Certified Cloud Practitioner

The AWS Cloud Practitioner exam enables individuals with an overall understanding of the AWS Cloud to validate their knowledge with an industry-recognized credential.

Projects

Memjour
Memjour

It's an online journal where users can write daily stories, keep track of books, movies, and TV shows, filter stories by moods, tags, dates, etc.

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Facial Expression Detection

A sentiment analysis tool to detect the six basic expressions: happiness, sadness, anger, surprise, fear, and disgust from images and videos.

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Toxic Comments Classification

Classifying a large number of Wikipedia comments as being either toxic or not.

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Bank Customer Segmentation

Training an unsupervised machine learning algorithm to perform bank customer segmentation.

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Traffic Signs Classification

Training Convolutional Neural Networks (CNNs) to classify 43 traffic sign images.

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Employee Turnover Prediction

Predicting Employee Turnover with Decision Trees and Random Forests using scikit-learn.

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Interactive Dashboard with Python

An interactive dashboard built with streamlit for the sentiment analysis of tweets about US Airlines.

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EDA in Breast Cancer Classification

Using Seaborn for exploratory data analysis and XGBoost to classify tumors as either benign or malignant.

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Facial Key-points Recognition

Training Convolutional Neural Networks (CNNs) and Residual Blocks to detect 15 facial key-points.

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Named Entity Recognition

Building and training a bidirectional LSTM neural network model to recognize named entities in text data.

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Automatic ML with H2O

Apply automatic machine learning to a business analytics problem with the H2O AutoML interface in Python.

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Clustering Geolocation Data

Clustering geolocation data with K-Means, DBSCAN, and HDBSCAN to help build service stations for taxis in an efficient manner.

Check out my GitHub Profile to view all of my projects.

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Get in touch

Send me a message
Address 1056/1 East Shewrapara, Mirpur
Dhaka-1216, Bangladesh
Phone Number (+880) 152 1211926
(+880) 168 6934926
Sk Golam Saroar