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About Me

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Experience

Pioneering DS & AI Frontiers:


  • 1+ Year of Deep Learning Research & Data Analysis
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Education

  • Master of Computer Applications
  • PG Diploma in Robotics
  • Bachelor of Computer Science

Hey there! I'm Mohamed Shafeek T, a curious and passionate individual driven by the joy of learning, creating, and sharing knowledge. With over a year of experience in Data Analytics and AI, I've explored areas like Machine Learning, Deep Learning, Image Processing, and Generative AI, applying them to projects that solve real-world problems. I find fulfillment not just in personal growth but in helping others grow through guidance and collaboration. Creativity is at the core of everything I do, whether it's building solutions, experimenting in the kitchen, or crafting content to inspire others. A lover of fitness, good humor, and meaningful stories, I believe life is about balance, self-improvement, and spreading positivity.

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Tech Stack

Technical Skills

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Python

Experienced

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Flask

Beginner

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PostgreSQL

Experienced

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MySQL

Experienced

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MongoDB

Intermediate

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Excel

Experienced

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Tableau

Intermediate

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Power BI

Beginner

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Numpy

Experienced

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Pandas

Experienced

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Matplotlib

Intermediate

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Seaborn

Intermediate

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Scikit-learn

Intermediate

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TensorFlow

Intermediate

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Keras

Intermediate

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OpenCV

Intermediate

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Streamlit

Intermediate

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LangChain

Beginner

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HTML 5

Beginner

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CSS

Beginner

Tools

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Jupyter

Experienced

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Linux

Intermediate

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Radare2

Beginner

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Git

Experienced

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GitHub

Experienced

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Colab

Experienced

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Kaggle

Experienced

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Canva

Experienced

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VS Code

Experienced

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AWS

Beginner

My Professional

Timeline

Education

Graduation
2023 - 2025

Master of Computer Applications

Dr.G.R Damodaran College of Science

GPA : 9.1/10

Graduation
2023 - 2024

PG Diploma in Robotics

Dr.G.R Damodaran College of Science

Graduation
2020 - 2023

Bachelor of Computer Science

Jamal Mohamed College of Arts and Science

GPA : 8.7/10

Experience

Graduation
Oct 2023 - Present

Deep Learning Researcher - Malware Analytics

Cochin University of Science And Technology

Research on AI-driven malware detection using DL & ML approaches.

As an active Research Scientist at Cochin University of Science and Technology, I, along with the research scholars and mentor, have employed various techniques to mitigate the potential risks posed by one of the major cybersecurity threats, "Malware."

I specifically worked on the following aspects :

1. Disassembled three different malware datasets using Radare2, where each dataset contains approximately 27k malware executable files, totaling up to half a terabyte in size. This process falls under Static Analysis, which is conducted to understand the behavior of different malware.

2. Extracted the binary content of the malware in the form of hexadecimal representation using both Radare2 and a Python script, and evaluated which approach had more effective extraction properties.

3. From the extracted binary content of the malware, I generated different 2D image representations such as color images (RGB), grayscale images, entropy graph images, and SimHash images. I then trained a pre-trained 2D CNN architecture like VGG16 and fine-tuned the CNN model to classify the malware according to their families and predict their family names/class labels (multi-class classification).

4. Achieved around 95% validation accuracy on the malware 2D images generated from the hexadecimal content extracted directly from their corresponding executable files (without disassembling the executable files into ASM files and then into hexadecimal files).

5. Implemented a Generative Adversarial Network (GAN) model to generate more synthetic 2D images to increase the size of the dataset and improve the robustness of the trained CNN model by re-training it with synthetic images as well. This approach exposed the model to different possible features of images and equipped it to perform well in the case of unseen malware/zero-day attacks.

6. Currently working on color models for 2D images and training a 1D CNN with 1D malware images to promote simpler input and faster prediction..
Graduation
Sep 2023 - Oct 2023

Data Science & Business Analytics Intern

The Sparks Foundation

Worked on data cleaning, exploratory data analysis, visualization, and predictive analytics.

I worked as a Data Science and Business Analytics Intern at The Sparks Foundation where i was assigned with tasks such as Exploratory Data Analysis (EDA), Predictive Analysis using Machine Learning Libraries and Dashboard Designing (i personally used Tableau BI tool for the Dashboard development).

Volunteering

Graduation
2022 - Present

Founder & Content Creator

DataShore

Empowering learners in AI & Data Science by leading workshops and guiding aspiring tech professionals.

Data Shore is my official initiative dedicated to sharing knowledge in Data Science, AI, and related fields. The Key activities are Conducting hands-on workshops, tech talks, Guiding students who aspire to build careers in Data Science/AI-related domains and Actively posting educational content on Instagram to engage and inform the community. Currently, I am assembling a team of professionals willing to dedicate a few hours on weekends to share our expertise, knowledge, guidance, ideas, and suggestions with motivated, up-and-coming tech enthusiasts.
Graduation
2023 - 2025

Lead - Google Developer Student Club

Dr.G.R Damodaran College of Science

Organized workshops, mentoring sessions, and community events to help students build tech skills.

Led of our insitution's Students Developer Club ( 2023-25 ), we conduct Technical Contests and Informative webinars on cutting-edge technologies to give awareness to the students about the current market and guide them with the right resources to develop competence in them.

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Projects

PYP Project

piipit - A Hybrid PII Detection and Management Application

A tool to safeguard personal information from unauthorized access and misuse.

Malware Detection Project

Image Based Malware Detection using Deep Learning

An innovative approach to detect malware using image processing and deep learning techniques.

RoadSafe Project

RoadSafe: Analyzing Road Collisions in Tamil Nadu

A comprehensive analysis of road accidents in Tamil Nadu to improve road safety measures.

Covid-19 Analysis Project

TimeLine Analysis On Covid-19

A detailed timeline analysis of the Covid-19 pandemic, tracking its progression and impact.

Web Scraping Project

Web Scraping On Wikipedia

A web scraping project to extract and analyze data from Wikipedia pages.

911 Calls Analysis Project

Exploratory Data Analysis On 911 Calls

An in-depth analysis of 911 emergency calls to identify patterns and improve response strategies.

Check Out My Few

Certifications

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Google Data Analytics Professional Certification

A professional certification covering data analytics concepts, techniques, and tools.

Issuer: Google

Date: Aug 2022 - Feb 2023

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Generative AI using Large Language Models

Learned the fundamentals of Generative AI and LLMs through AWS.

Issuer: Amazon AWS

Date: Mar 2024 - May 2024

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Career Essentials in Generative AI

Learned essential concepts of Generative AI.

Issuer: Microsoft & LinkedIn

Date: June 2023 - July 2023

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Python for Data Science and Machine Learning

Gained expertise in Python-based data science and ML techniques.

Issuer: Udemy

Date: Jan 2022 - Nov 2023

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Deep Learning Specialization

Learned advanced techniques in deep learning.

Issuer: DeepLearning.AI

Date: Nov 2023 - Feb 2024

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GANs Specialization

Completed a specialization on Generative Adversarial Networks (GANs).

Issuer: DeepLearning.AI

Date: Oct 2023 - Jan 2024

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Intro to ChatGPT and Generative AI

Learned fundamentals concepts of how Generative AI models like ChatGPT work.

Issuer: 365 Data Science

Date: July 2023 - July 2023

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Introduction to Statistics

Completed a course covering statistical analysis.

Issuer: Stanford University

Date: Apr 2024 - June 2024

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Data Visualization Specialization with Tableau

Specialized in data visualization techniques using Tableau.

Issuer: University of California, Davis

Date: July 2023 - Aug 2023

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SQL for Data Analysis

Learned SQL fundamentals for data analysis.

Issuer: LinkedIn

Date: June 2023 - July 2023

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Data Cleaning in Python Essential Training

Trained in essential data cleaning techniques using Python.

Issuer: LinkedIn

Date: June 2023 - July 2023

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Introduction to MongoDB for Students

Learned the fundamentals of MongoDB databases.

Issuer: MongoDB

Date: July 2024 - July 2024

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Cloud Computing

Covered foundational cloud computing concepts through NPTEL.

Issuer: NPTEL

Date: Aug 2021 - Oct 2021

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User Interface Designing

Learned the principles of user interface design through NPTEL.

Issuer: NPTEL

Date: Jan 2021 - Mar 2021

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LP320 - Object Detection Tool using OpenCV

Developed an object detection tool using OpenCV.

Issuer: LEAP IIT Madras

Date: June 2023 - July 2023

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