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Shemonto Das
 * About
 * Experience
 * Education
 * Skills
 * Research
 * Projects
 * Awards
 * Recomendations
 * Contact


SHEMONTO DAS

I am currently pursuing my Master's degree at the Department of Computer Science
, Memorial University of Newfoundland , where I am focusing on developing
Machine Learning techniques for time series analysis and classification as part
of my thesis. My passion lies in the realms of data, analytics, and artificial
intelligence, and I am always eager to delve deeper into these fields and expand
my knowledge. I am seeking opportunities where I can apply my expertise and
further enhance my skills in data science and AI. I want to obtain a position
where my knowledge and experience can be utilized as well as enhanced. My resume
is available here.

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EXPERIENCE


DATA SCIENCE INTERN

Instrumar Limited
May 2022 - Present


GRADUATE TEACHING ASSISTANT

Department of Computer Science, MUN
January 2022 - Present


CONTRACTUAL LECTURER

Brac University
October 2021 - January 2022


MACHINE LEARNING ENGINEER

Arthor Limited
February 2021 - July 2021


TEAM LEAD, COMMUNICATION AND CONTROL

BRACU Duburi (Bangladesh's first autonimous underwater vehicle)
May 2019 - December 2020


PRESIDENT (HIGHEST EXECUTIVE POSITION)

Robotics Club Of BRAC University
March 2020 - March 2021

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EDUCATION


MSC. IN COMPUTER SCIENCE

Memorial University Of Newfoundland, St. John's, NL, Canada
January 2022 - Present


BSC. IN COMPUTER SCIENCE AND ENGINEERING

Brac University, Dhaka, Bangladesh
January 2017 - January 2021

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TECHNICAL SKILLS


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 * Language and Frameworks: Python, Java, HTML, CSS, SQL, TensorFlow, Keras,
   Scikit-learn, Pandas, Numpy, Matplotlib, Tkinter.
 * Software and Tools: VS Code, Google Colab, Anaconda Navigator, Git, Tableau,
   Arduino, Raspberry pi, Nvidia Jetson Nano, MS Office, MS Excel, Powerpoint.

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RESEARCH


RESEARCH INTERESTS

 * Artificial Intelligence and Machine Learning.
 * Data Science, Analytics and Visualization
 * Deep Learning and Neural Networks.
 * Bio medical image processing.


PUBLICATIONS

 * Active Learning Strategies for Robotic Tactile Texture Recognition Tasks,
   Journal: Frontiers in Robotics and AI, section Robot Learning and Evolution
 * Unbalanced Fault Classification Using Active Learning in Synthetic Fiber
   Manufacturing Process, IEEE Syscon 2024


THESIS

 * An Active Learning Framework with Class Balancing Strategies for Time Series
   Classification (MSc. Thesis)
 * An Active-Learning based Training-Schedule for Biomedical Image Segmentation
   on Deep Neural Networks (BSc. Thesis)

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PROJECTS


PROJECT 1: DATA PREPROCESSING AND LABELING PIPELINE

(Python, Matplotlib, Tkinter)

Details


PROJECT 2: TACTILE TEXTURE CLASSIFICATION FRAMEWORK

(Python, Scikit-learn, Pandas, Scipy)

Details


PROJECT 3: INSTRUMAR'S PIPELINE FOR MANUFACTURING FAULT CLASSIFICATION

(Python, Scikit-learn, Pandas)

Details


PROJECT 4: FINANCIAL FRAUD ANALYSIS AND DETECTION

(Python, Scikit-learn, Pandas, Imbalanced-learn)

Details

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AWARDS & ACHIEVEMENTS

 * Graduate Research Award 2023 for strong research contribution, Department of
   Computer Science, Memorial University.
 * Awarded for Best Graduate Talk at the SEA 2023 conference by the Faculty of
   Science, Memorial University.
 * Recipient of Vice Chancellor's Certificate For High Standard Of Discipline
   And Devotion During Residential Semester At , BRAC University [September -
   December 2017 / RS46].
 * Secured 7th position at Singapore Autonomous Underwater Vehicle Challenge,
   2018.
 * Champion (Line following Robot), DUET Tech Fest 2018.
 * Appreciation certificate awarded by Bangladesh Robotics Foundation
 * Placed on Dean’s list for multiple semesters at BRACU and graduated with high
   distinction
 * Champion, State level Inter School English Parliamentary Debate Competition


RECOMMENDATIONS


VIMAL SIMHA, DATA SCIENTIST

INSTRUMAR LIMITED

" I have known Shemonto Das for over a year, during his internship at Instrumar
Limited, where I work as a Data Scientist. He played an active role in
developing a project to automate fault detection in fibre manufacturing using
Instrumar’s electromagnetic sensors. At Instrumar, we are running trials at a
fibre manufacturing plant that incorporates the Active Learning strategies that
Shemonto developed. Shemonto’s project was to use Active Learning strategies to
identify and classify faults in the fibre manufacturing process and products
using time-series data collected by Instrumar’s sensors deployed at fibre
manufacturing plants. He tapped on his knowledge of Active Learning strategies
to classify textures explored by robotic arms and researched existing to help us
jointly formulate a plan for using Active Learning strategies to analyze
Instrumar’s data. Shemonto also collaborated with our team to build a pipeline
to process time-series data, extract relevant data features for his models and
identify appropriate performance indicators and metrics to evaluate the models.
The results of his project have now been accepted for presentation at IEEE
Syscon. Instrumar’s dataset suffers from severe “class imbalance” i.e. there are
large differences between the frequencies of different types of faults. To
address this, Shemonto consulted his professors and the literature, and worked
out a “class balancement technique” which he implemented. When we needed
additional computing resources, Shemonto’s leadership and go-getter spirit
ensured he found a way to use computational resources from the Digital Research
Alliance of Canada and use their HPC clusters, without which completing the
project would have been challenging. Shemonto is an outstanding data scientist
and data engineer who thrives on challenges in his day-to-day work. His
inquisitiveness and can-do attitude inspires many diverse approaches to problem
solving. Come rain or shine or snow, which we get copious amounts of in
Newfoundland, we could always count on Shemonto’s presence at our weekly
meetings, in which he demonstrated excellent communication skills and a spirit
of teamwork. If you are looking for an excellent data scientist or data engineer
for your team, who is also a problem solver and a great team player, Shemonto is
your pick"

This recomendation is provided in linkedin. link


JOSHUA SWAMIDAS, MANAGER OF TECHNICAL SOLUTIONS

INSTRUMAR LIMITED

" Shemonto’s Masters project was to develop an Active Learning pipeline for our
time series sensor data. He worked with out internal data scientist to analyze
our data, provide timely feedback on what we needed to do to improve our data
cleaning so that the data going into the pipeline would give us the best
results. He was able to explain what he was doing, answer our concerns, and also
explore different techniques when we started implementing this with two of our
customers. He gained experience find out that implementing things in the wild is
never straightforward and is much more intricate and involved with live data.
The results from our first customer were excellent and helped us to uncover new
features of interest. During his program, Shemonto interned with us to support
our research, learn our domain, support our data analytics and software teams to
develop data features that provided us better intelligence with the data and
generate appropriate models from the data. Shemonto participated and contributed
positively in most of our design conversations. He was able to direct and guide
us when we didn’t understand his work. Shemonto also helped us to develop a
presentation to explain the complex process to non-technical people. I would
recommend Shemonto’s data-science, analytics and problem solving abilities for
future and potential employers."

This recomendation is provided in linkedin. link


CONTACT


EMAIL

 * shemontod [at] mun [dot] ca