Anindya Basak
@anindyabasak
Aspiring data scientist with expertise in machine learning and computer vision.
What I'm looking for
I am Anindya Basak, a passionate researcher and aspiring data scientist currently pursuing my MSc in Computer Science and Engineering at BRAC University. My undergraduate thesis focused on developing a CNN-BiLSTM fusion model for age estimation from facial images, where I constructed a unique dataset and compared my model's performance with state-of-the-art techniques. This experience honed my skills in deep learning and computer vision, which I am eager to apply in real-world scenarios.
In addition to my thesis, I have contributed to several publications in the field of machine learning, including work on predictive analytics in agriculture. My technical expertise spans various programming languages and tools, including Python, MATLAB, and TensorFlow. I am particularly interested in projects that leverage machine learning for impactful solutions, and I thrive in collaborative environments that foster innovation and creativity.
Experience
Work history, roles, and key accomplishments
Research Assistant
Rajshahi University of Engineering & Technology
Oct 2022 - Oct 2023 (1 year)
Constructed a unique regional facial image dataset of 80 individuals over seven years. Proposed and evaluated a CNN-BiLSTM fusion model for apparent age estimation from facial images. Compared the model's performance against state-of-the-art methods.
Student Depression Analysis
Rajshahi University of Engineering & Technology
Developed a machine learning system to detect student depression using survey data. Performed extensive Exploratory Data Analysis to identify patterns and correlations. Evaluated and compared several classification models based on key performance metrics.
Password Door Lock System
Rajshahi University of Engineering & Technology
Designed and implemented a PCB for a simple password-based door lock system. Integrated an 8051 microcontroller for system control. Implemented an alarm system to deter and alert authorities during brute force attempts.
IoT Vehicle Tracking System
Rajshahi University of Engineering & Technology
Designed and implemented a PCB for a real-time vehicle tracking system. Tracked speed, movement, and stored routes on a webserver. Utilized MPU 6050 for motion detection and Esp8266 for alerts to the owner.
Education
Degrees, certifications, and relevant coursework
Rajshahi University of Engineering & Technology
Bachelor of Science, Electronics & Telecommunication Engineering
2018 - 2023
Grade: 3.11/4.0
Activities and societies: Developed a machine learning system to detect depression in students. Designed and implemented an IoT-based rash driving alert system with real-time vehicle tracking. Created a password-based door lock system using an 8051 microcontroller.
Completed a Bachelor of Science degree with a focus on Electronics & Telecommunication Engineering. Coursework included Digital Image Processing, Data Structure and Algorithm, Data Communication and Computer Networks, and Statistical Analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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