Hello, I'm Nishat Tasnim

I’m Nishat, a dedicated and passionate learner with a strong focus on AI and research. As a student in the Department of Computer Science and Engineering at the University of Asia Pacific, I am driven by a deep curiosity to explore and master a broad spectrum of technologies. My academic pursuits are complemented by active involvement in innovative AI-based research projects. Beyond programming, I am skilled in creating visually compelling graphic designs and crafting insightful scientific content. I am currently enhancing my expertise in languages and technologies such as C, C++, Java, Python, SQL, as well as in machine learning, deep learning, and natural language processing. I thrive on the challenges presented by these fields and excel in solving complex problems. I am enthusiastic about advancing my contributions and deepening my expertise through research assistant opportunities, particularly under the guidance of esteemed professionals on cutting-edge projects. 🔍

👩🏻‍💻 Who am I? (Breifly):

• 🏫: I am a Student at Department of CSE at University of Asia Pacific.
• 👩🏻‍🔬: I'm very passionate about Research, AI, HCI, ML, DL, NLP etc.
• 💻: I love Graphics Design and writing Scientific Content, Sci-Fi.
• 🧭: Always exploring and learning new things.

🔍 Find me elsewhere

           

       

📩 Contact With Me:

       

🛠️ My Skills

💻 Programming languages

                   

Click here for My Status...

{
   "Proficient": ["Python", "Java", "C", "C++", "SQL"],
   "Familiar with": ["HTML", "CSS"],
   "Database": ["MySql","MS SQL Server"],
   "AI framework":["Keras","Scikit-learn","PySpark","Tensorflow"],
   "Modules & Library":["Pandas","Numpy","Scipy","Matplotlib & seaborn","Folium & foursquare api","Beautifulsoup","Selenium","etc"],
                          
   "Machine Learning Algorithms": ["LinearRegression","LogisticRegression","KNeighborsRegressor","SVR","DecisionTree",
                                    "RandomForest","SVM","KNN","Naive Bayes","XGBoost", "AdaBoostClassifier","Lasso",
                                    "K-means","DBSCAN","Model Validation","Feature Selection","Dimensionality Reduction"],
   
   "Deep Learning": ["CNN","LSTM","Bi-LSTM","Transfer Learning","Model optimization and quantization",
                                    "TinyML","Pipelining","Keras sequential and functional API"]
}

🎓 Achievements: