Sudipto Mitra (@Sudipto737) header
Sudipto Mitra (@Sudipto737) profile picture

General Purpose Engineer | Wannabe Algo Expert | Philosophy and Literature | Github - SudiptoMitra635 |

Remote
Joined September 2022
Day 32/100 of #100DaysOfCode Machine Learning - Naive bayes( Gaussian, Classification, Binomial, Multinomial) - Logistic regression intuition - Sigmoid function - Logistic regression loss function and gradient descent solution #Python #DataScientist #MachineLearning #Ai
Day 31/100 of #100DaysOfCode Machine Learning- - Cross Validation -> Leave One Out CV, K-Folds, Stratified K-Folds - Hyperparameter Tuning - Probability for Machine Learning #python #dataScience #ML #machinelearning #Ai
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Day 31/100 of #100DaysOfCode Machine Learning- - Cross Validation -> Leave One Out CV, K-Folds, Stratified K-Folds - Hyperparameter Tuning - Probability for Machine Learning #python #dataScience #ML #machinelearning #Ai
Day 30/100 of #100DaysOfCode: Machine Learning: - Eigen Values and Eigen Vectors - Eigen Decomposition + Single Value Decomposition - ROC Curve in Machine Learning - Cross Validation #DataScience #python #Ai #machinelearning #ML
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Day 30/100 of #100DaysOfCode: Machine Learning: - Eigen Values and Eigen Vectors - Eigen Decomposition + Single Value Decomposition - ROC Curve in Machine Learning - Cross Validation #DataScience #python #Ai #machinelearning #ML
Day 29/100 of #100DaysOfCode Machine Learning: - KNN maths - Coding KNN from scratch - Classification Metrics #python #datascience #ai
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Day 29/100 of #100DaysOfCode Machine Learning: - KNN maths - Coding KNN from scratch - Classification Metrics #python #datascience #ai
Day 28/100 of #100DaysOfCode Machine learning: - Ridge Regression - Lasso Regression - ElasticNET #machinelearning #ml #python
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Day 28/100 of #100DaysOfCode Machine learning: - Ridge Regression - Lasso Regression - ElasticNET #machinelearning #ml #python
Day 27/100 of #100DaysOfCode Machine learning: -Feature selection -Regularization #machinelearning #ml #python
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Day 27/100 of #100DaysOfCode Machine learning: -Feature selection -Regularization #machinelearning #ml #python
Day 26/100 of #100DaysOfCode 🚀 Machine Learning: - Regression Analysis - Polynomial regression - Assumptions of Linear regression - Multicolinearity #Python #CodingJourney #LearnInPublic #OpenSource #100DaysOfCodeChallenge
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Day 26/100 of #100DaysOfCode 🚀 Machine Learning: - Regression Analysis - Polynomial regression - Assumptions of Linear regression - Multicolinearity #Python #CodingJourney #LearnInPublic #OpenSource #100DaysOfCodeChallenge
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Finally end sem is over 😮‍💨
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Taking a break from coding for 10 days. I'm done this end sem 😩🫩
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Day 25/100 of #100DaysOfCode 🚀 Advanced Python: -Concurrency vs Parallelism -GIL (Global Interpreter Lock) -Threads & Locks in depth -Multiprocessing with Queue & Value -Asyncio, Event Loop, Coroutines & await -Mixing Threads with Asyncio -Asyncio + Multiprocessing -Daemon vs Non-Daemon Threads -Race Conditions, Deadlocks, Debugging & Profiling #Python #AsyncIO #Multithreading #Multiprocessing #Concurrency #Parallelism #OperatingSystems #BackendDevelopment #SoftwareEngineering #CodingJourney #LearnInPublic #OpenSource #100DaysOfCodeChallenge
Day 24/100 of #100DaysOfCode → Raised a PR today → Started learning #FastAPI — clean, fast, and type hints just click → Explored #Python frames & how sys.settrace exposes them as objects #BuildInPublic #CodeNewbie #LearnInPublic #DevCommunity
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Contributing to open-source made me realize how important core subjects of CS really are. -Operating Systems explains why async code, threads, locks, processes, tracing, and schedulers behave the way they do. -Probability & Statistics becomes essential for ML, analytics, ranking systems, and even A/B testing. And the best part is that classroom theory feels less theoretical. You start recognizing classroom concepts inside actual production code. #GSSoC2026
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Day 24/100 of #100DaysOfCode → Raised a PR today → Started learning #FastAPI — clean, fast, and type hints just click → Explored #Python frames & how sys.settrace exposes them as objects #BuildInPublic #CodeNewbie #LearnInPublic #DevCommunity
Day 23/100 of #100DaysOfCode Big day today: • My PR got merged in GSSoC 🎉 github.com/sahoo-tech/Execra… • Developed another feature for Execra and raised a new PR • Revised SQL concepts • Studied Linear Algebra for 1.5 hours • Studied Statistics for 1.5 hours Slowly stacking consistency, code, and fundamentals every single day. #GSSoC #OpenSource #Python #SQL #DataScience #MachineLearning #Statistics #LinearAlgebra #CodingJourney #Developer #Programming #Tech #SoftwareEngineering #BuildInPublic #LearnInPublic #100DaysOfCode
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Day 23/100 of #100DaysOfCode Big day today: • My PR got merged in GSSoC 🎉 github.com/sahoo-tech/Execra… • Developed another feature for Execra and raised a new PR • Revised SQL concepts • Studied Linear Algebra for 1.5 hours • Studied Statistics for 1.5 hours Slowly stacking consistency, code, and fundamentals every single day. #GSSoC #OpenSource #Python #SQL #DataScience #MachineLearning #Statistics #LinearAlgebra #CodingJourney #Developer #Programming #Tech #SoftwareEngineering #BuildInPublic #LearnInPublic #100DaysOfCode
Day 22 of #100DaysOfCode Pytest: - Function testing - Class testing with fixtures - Api and DB mocking #python #dataScience #LearnInPublic #BuildInPublic
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Day 22 of #100DaysOfCode Pytest: - Function testing - Class testing with fixtures - Api and DB mocking #python #dataScience #LearnInPublic #BuildInPublic
Day 21 of #100DaysOfCode: ML Algorithms: - Simple Linear regression - Multiple Linear Regression Python: - Pytest unit testing framework #LearnInPublic #BuildInPublic #python
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Day 21 of #100DaysOfCode: ML Algorithms: - Simple Linear regression - Multiple Linear Regression Python: - Pytest unit testing framework #LearnInPublic #BuildInPublic #python
Day 20 of #100DaysOfCode: Maths for ML: - Normal Distribution - Non-Gaussian Distribution - Central Limit Theorem - Confidence Interval - Hypothesis Testing - Chi Square Test - ANOVA #dataScience #Python #math #ML #AI
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Day 20 of #100DaysOfCode: Maths for ML: - Normal Distribution - Non-Gaussian Distribution - Central Limit Theorem - Confidence Interval - Hypothesis Testing - Chi Square Test - ANOVA #dataScience #Python #math #ML #AI
Day 19 of #100DaysOfCode: Flask: - Session Management - Cookie Management - Message Flashing - Database Integration - SQLAlchemy ORM #LearnInPublic #BuildInPublic #WebDev #Python
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Day 19 of #100DaysOfCode: Flask: - Session Management - Cookie Management - Message Flashing - Database Integration - SQLAlchemy ORM #LearnInPublic #BuildInPublic #WebDev #Python
Day 18 of #100DaysOfCode: Flask: - Routes and URLs - Templates and HTML Files - Forms, POST request and File Handling Maths for ML: - Probability distribution function- PDF, PMF and CDF #learntech #LearnInPublinc #BuildInPublic #Python #WebDev
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Excited to share that I’m a Contributor at @girlscriptsoc 2026. Looking forward to building, learning, and contributing to open source. #OpenSource #BuildInPublic
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Day 18 of #100DaysOfCode: Flask: - Routes and URLs - Templates and HTML Files - Forms, POST request and File Handling Maths for ML: - Probability distribution function- PDF, PMF and CDF #learntech #LearnInPublinc #BuildInPublic #Python #WebDev
Day 17 of #100DaysOfCode: Python internals: - Created a Custom Context Manager for file handling with both Class and Decorators - Static typing using Pydantic Maths for ML: - Quantiles and Percentiles - BoxPlot theory - Covariance calculation - Correlation - Correlation vs Causation #LearnInPublic #BuildInPublic #DataScience #Python
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Day 17 of #100DaysOfCode: Python internals: - Created a Custom Context Manager for file handling with both Class and Decorators - Static typing using Pydantic Maths for ML: - Quantiles and Percentiles - BoxPlot theory - Covariance calculation - Correlation - Correlation vs Causation #LearnInPublic #BuildInPublic #DataScience #Python
Day 16 of #100DaysOfCode: Descriptive Statistics: - Measure of central tendencies: Mean, Median, Mode, Weighted Mean, Trimmed Mean - Measure of dispersion: Range, Variation, Standard Deviation - Coefficient of Variation - Graphs for univariate analysis & bivariate analysis - Revised, made notes and dug deep into python internals with @Hiteshdotcom #LearnInPublic #BuildInPublic #DataScience
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