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focusing
🎯
focusing
3 followers · 20 following

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Achievement: QuickdrawAchievement: Pull Shark

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Achievement: QuickdrawAchievement: Pull Shark

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Sayanjones/README.md

Who am I 👇?

 from Sayan_M import personal_details
 # from Sayan_Personal import personal_ambitions
 
 class WhoAmI:
 	name = 'Sayan Mandal'
	current_education = "B.Tech IT"
	hobbies: List[str] = [

                               'Coding',
                               'Music',
                               'Playing Cricket',
                               'Making friends'.

                             ]

				
	# return city name ...
	def MyCity():
		return Kolkata_India()
		
	# return public ambitions ...
	def Ambitions():
		Tring_Be_A_Perfectionist()
		Connect_with_passionate_individuals()
                Collaborative_work_environment()
		Leave_a_lasting_mark()
		# assume 10  more ambitions here ;)

Coding

Current Status

  • 🔭 I’m currently learning on Deep Learning & polishing my DSA skills.

  • 👯 I’m looking to collaborate on AI/ML/DL/GenAI/Web dev projects.

  • 📝 I write articles on MEDIUM

  • 💬 Ask me about Data Science, AI/ML

  • 📫 How to reach me [email protected]

  • 📄 Know about my experiences RESUME

📲 Connect with me:

sayanjones7 sayan-mandal7 sayan_mandal7

🧰 Languages and Toolkit:

cplusplus css3 docker figma gcp aws azure bootstrap git html5 illustrator java javascript kubernetes linux mysql react python opencv pandas scikit_learn seaborn tensorflow django flask

sayanjones

sayanjones

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  1. Stock_market_forecasting_model Stock_market_forecasting_model Public

    StockFusion integrates historical stock data with sentiment analysis of news headlines using an LSTM-based RNN and VADER, offering high-accuracy predictions. It provides a flexible framework for hy…

    Jupyter Notebook 1

  2. Visual-Nutrition-Assistant Visual-Nutrition-Assistant Public

    This LLM application uses AI for food recognition, calorie estimation, and personalized diet advice. It aids in diet tracking and weight management. Challenges include food diversity and accuracy.

    Python 1

  3. Predictive-Parkinsons-Platform Predictive-Parkinsons-Platform Public

    A Support Vector Machine (SVM) model was optimized using Scikit-learn to accurately classify Parkinson's patients. Hyperparameter tuning enhanced the model's ability to differentiate between patien…

    Jupyter Notebook

  4. Raggi Raggi Public

    Python