Innovative Skills

Course Description

Welcome to Innovative Skills, your trusted partner in harnessing the potential of Natural Language Processing (NLP) through state-of-the-art Machine Learning solutions. Our mission is to empower your organization with innovative skills and technology that will revolutionize the way you interact with language data.

Topic-1 (How to do Automated Data Collection for NLP Project)

Locator Finding (Xpath. CSS. SELECTOR. ID. CLASS NAME....)

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How to collect multiple data in single page
How to collect multiple page data
How to use regex in data collection
How to do brainstorm in a critical problems
How to handle cache issue
How to handle waiting Time
How to download file
How to handle google recaptcha (common pattern)
How to handle JS pagination to collect data
How to handle loader using scroll
How Does Scroll works mathematically
How to handle various click events
How to send data to a form
Comment Collection project
Lead generation Project from Google.
How to do freelancing in this sector

Topic-2 (Extraction, Transformation Loading Processing in NLP)

Extraction Techniques from various Sources
Transformation Techniques from Various Sources
SQL (How to Deal with SQL Source)
Feature Engineering
Loading techniques into various destination
Task Scheduler in ETL Automation
Build a ETL Automation Workflow using Airflow
Build a projects

Topic-3 (Text Preprocessing in NLP)

Lowercasing
Removing Punctuation
Tokenization
Stopwords Removal
Stemming
Lemmatization
Removing Numbers
Removing Extra Whitespace

Topic-4 (Vectorization Technique in NLP)

Bag of Words (BoW)
TF-IDF
CountVectorizer
Word Embeddings (After Deep Learning)
Sentence Embeddings (After Deep Learning)

Topic-5 (Traditional Machine Learning Algorithm - Theory + Implementation)

Linear Regression
Logistic Regression
Naive Bayes
Support Vector Machine
Decision Tree
Topic Modeling
Clustering
2 Projects

Topic-6 (Deep Learning models - Theory + Implementation)

Artificial Neural Network
Deep Neural Network
Convolutional Neural Network
RNN
LSTM
GRU
2 Projects

Topic-7 (Generative AI Foundation- Theory + Implementation)

Transformer
Attention with Self Attention
Positional Encoding & Layer Normalization

Topic-8 (Large Language Models (Theory + Implementation)

LLM use cases and tasks
Pre-training various large language models
Fine Tune Large Language Models
2 Projects

Topic-9 (Knowledge Distillation)

Model Compression
Teacher vs. Student Model
Soft Targets vs. Hard Labels
Temperature Scaling in Softmax
KD Loss (KL Divergence between soft outputs)
Cross-Entropy with Ground Truth
Response-Based Distillation (Logits)
Feature-Based Distillation (Intermediate Representations)
Relation-Based Distillation (Structure or similarity between layers)
Self-Distillation (student learns from its own intermediate layers)

Topic-10 (Evaluation Metrics in Machine Learning - This will cover after Machine Learning Algorithms)

Classification Metrics (Accuracy
Precision
Recall (Sensitivity)
F1 Score
ROC-AUC Score
Confusion Matrix)
Regression Metrics (Mean Absolute Error
Mean Squared Error (MSE)
Root Mean Squared Error (RMSE)
R² Score (Coefficient of Determination))
Clustering Metrics

Topic-11 (Deep Learning Loss Function Techniques)

Understanding Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU)

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Topic-12 (Fine Tuning Techniques in LLM)

Transfer Learning
Domain-Specific Fine-Tuning
Few-Shot and Zero-Shot Learning
Prompt Tuning
Adapter Tuning
Regularization
Learning Rate Scheduling

Projects

Spam Detection
Sentiment Analysis
Smart CV
AI Chatbot
PDF Summarizer Chatbot
PDF Formatter
Systematic Review Paper Generation
AI Agent using Langchain

Salman Md Sultan

Education

M.Sc. in Information and Communication Engineering, Chosun University, Gwangju, South Korea. CGPA: 4.25 out of 4.50, passing year: 2021., CGPA: 4.25 out of 4.50,
B.Sc. in Computer Science and Engineering, University of Asia Pacific, Dhaka, Bangladesh. CGPA: 3.75 out of 4.00, passing year: 2017., CGPA: 3.75 out of 4.00,
Higher Secondary Certificate (HSC): Science, Government Laboratory High School, Dhaka. GPA: 4.40 out of 5, passing year: 2013., GPA: 4.40 out of 5,
Secondary School Certificate (SSC): Science, Government Laboratory High School, Dhaka. GPA: 4.69 out of 5, passing year: 2011., GPA: 4.69 out of 5,

IT Industrial Experience (6 Years)

No.	Institution	Designation	Duration
1	Innovative Skills Ltd.	Chief Executive Officer (CEO)	2023-Continue
2	Gachon University	External AI Researcher	01/05/2023-Continue
3	European IT	Team Leader (R&D)	01/02/22-30/04/2023
4	TISCON	Python Developer	01/10/21-31/01/22
5	Chosun University	AI Research Programmer	03/09/19-31/08/21
6	Robi Axiata Limited	Report Analyst	10/04/18-30/09/18

Project/Research

2022-2023: Development of Collective Collaboration Intelligence Framework for Internet of Autonomous Things, South Korea. [RSSI, Localization, Data Analysis, Supervised Learning]
2023 [Running]: Geobag Counting using Deep Learning. [Yolov3, Django, MySQL, Bootstrap], jQuery]
2022-2023: Employee Attendance System using Computer Vision [OpenCV, Yolov3, Django, Firebase]
2021-2022: Intelligent platform for Indoor Spatial Data Infrastructure Based on Crowd-sourcing Behavior, South Korea. [RSSI, Localization, Data Analysis, Supervised Learning]
2020-2022: Smart city urban infrastructure air quality real-time monitoring and prediction platform technology development, South Korea. [Tensorflow, Deep Reinforcement Learning, LSTM, Drone Navigation, AQI Data Analysis]
2021: Employee Attendance System using Computer Vision [Dlib, Face_recognition API]
2021: Exam Proctoring System using Computer Vision [Dlib, Face_recognition, Yolov3]
2019-2021: Development of Autonomous Collaborative Swarm Intelligence Technologies, South Korea. [Tensorflow, Google Dev. Board, Deep Reinforcement Learning, LSTM, Dense, IoT]