Hello, I'm Hafiz Al Fahim

Research Enthusiast | Aspiring Data Scientist

About Me

Profile Picture

I'm a Computer Science graduate with a strong focus on artificial intelligence, machine learning, and statistical analysis, passionate about applying AI to real-world challenges in agriculture, healthcare, and social systems. In Spring 2023, I worked as a Research Assistant under Prof. Monzur Morshed, where I focused on classifying and predicting agricultural seed data related to Bangladesh’s crop ecosystem. This research led to the presentation of my paper "Crop Yield Prediction using Machine Learning" at ICONC’S 2023 in Turkey. I also co-authored a study on seed classification and social health, published in Springer Nature, reflecting my dedication to impactful, data-driven AI research in healthcare, social good, and agriculture.


Research Areas: Machine Learning, Deep Learning, Computer Vision, Statistical Analylis, AI for Social Good

Research Topic: Agricutural AI, Agricutural Imaging, Medical Imaging, AI-Driven Social Network Analysis


CV

Education

Bachelor of Science in Computer Science & Engineering

Daffodil International University (May 2020 - June 2024)

CGPA 3.68/4.00

Research

December, 2023 — ICO 2023

Seeds Classification Using Deep Neural Network: A Review

In the past few years, agricultural production studies have gained popularity, showing signs of rapid development. Using different kinds of computer technology, the newest thing to come along makes it easier for farmers to do their work. Many things affect agricultural output ...

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December, 2023 — ICO 2023

A Review on the Impacts of Social Media on the Mental Health

There are numerous effects of social media use on people’s daily lives. Every day we are connected a lot of time with social media. As a result, our brains become unbalanced, and we feel a lot of illness in our bodies. As a result, the primary objective of this analysis is to provide information on how social media affects its users. Nineteen studies were included in this paper regarding the main purpose. We ...

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July, 2025 — SN Computer Science (Q2)

DuoSeedNet: An Optimized Dual-Branch Convolutional Neural Network for Enhanced Fruit Seed Classification

Currently Under Review

Publications/Press

Submitted & Ongoing

Publications

Projects

Seed Classification

Real-time Seed Classification

It used to identify and classify different types of seeds. By using YOLO (You Only Look Once) for real-time object detection and Roboflow for model training and data annotation, the system can accurately detect and classify seeds based on their characteristics.

Source
SVM kernel

SVM Kernel Comparison

Implemented SVM models on the Australian Credit Approval dataset using Linear and Polynomial kernels; applied StandardScaler and PCA, evaluated performance (accuracy, precision, recall, confusion matrix), and visualized results. Found the linear kernel achieved better accuracy and generalization, while the polynomial kernel was slower and prone to overfitting.

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Custom CNN Architecture

Custom CNN Architecture

Build a fine-tuned CNN architecture from the vanilla convolutional neural network.

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Agricultural

Bangladesh Agricultural Yield Prediction

This project develops an interactive machine learning dashboard to predict crop yield and production in Bangladesh using historical data. Leveraging features such as Year, Rainfall, and Temperature, it applies linear regression models to forecast agricultural output. Users can visualize actual versus predicted values through dynamic charts powered by Plotly and Dash—and input their own data for real-time prediction.

Source
Customer Purchases Insight

Customer Purchases Insight

Analyzed purchase behavior, trends, and top-selling products to uncover insights.

Source
Movie Trend Analysis

Movie Trend Analysis & Insights

Explored historical movie data to reveal patterns in ratings, genres, and trends.

Source

Experience

Jr. Executive – Live Operations

Shikho Technologies Ltd.

November 2026 – Present

~ Roles & Responsibilities

  • Ensured smooth technical execution of live online classes, resolving issues in real-time.
  • Designed and implemented Python-based analytics tools to analyze mentor performance and student attendance trends.
  • Conducted inventory-style analytics to optimize teaching slot allocation, aligning supply (mentor availability) with student demand.
  • Regularly collaborated with Data and Operations teams to ensure accurate reporting and seamless system integration.

Technical Researcher & Data Analyst

Business Globalizer

July 2024 – October 2024

~ Roles & Responsibilities

  • Conducted secondary research to identify market trends and competitor benchmarks.
  • Cleaned and structured business data to derive customer behavior insights and pricing strategy recommendations.
  • Developed dashboards to project inventory needs and aligned strategies with demand cycles.
  • Presented findings directly to international clients, supporting investment strategy decisions.

Lab Prefectship

Daffodil International University

July 2023 – August 2024

~ Roles & Responsibilities

  • Facilitated lab sessions for Object-Oriented Programming (Java) and Database Management (MySQL).
  • Provided peer mentoring and troubleshooting for programming assignments and database projects.

News

IELTS Scholarship

IELTS Scholarship

Awarded by IDP & The DailyStar

Champion

Champion

DIU CSE Fest 2023 (ICT Olympiad)

Quarter Finalist

Quarter Finalist

Climate Science Olympiad 2023

Runner-up

Runner-up

ACC IT Carnival 2017

Extra Curricular Activities

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Volunteer Work

Organized and participated in community service drives and student mentoring programs, promoting peer learning and outreach. Also, worked as an IT Volunteer at AUAP 2022, BIM Conference 2023

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University & College Clubs

Former Executive Member at DIU Computer & Programming Club & Former Head of Esports at BNCD Information & Technology Club

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Sports

Played as a goalkeeper in inter-department football tournaments and regularly involved in team sports to build leadership and collaboration.

Contact Me