
Typescript
,React
,Next.js
,Bun
andPostgreSQL
. With a focus on UI design. Enthusiastic about Three.js, driven by a keen eye for design.Featured
• Participating in the PwC Launchpad program focusing on industry-oriented training in data analytics, machine learning, and enterprise technology solutions.
• Developing hands-on experience with real-world business problem solving using Python, SQL, and data analysis tools.
• Working on case-based projects involving data processing, visualization, and predictive modeling to derive actionable insights.
• Implemented machine learning models for data analysis and predictive tasks using Python and Scikit-learn.
• Performed data preprocessing, feature engineering, and exploratory data analysis to improve model performance.
• Built and evaluated supervised learning models including regression and classification algorithms on real-world datasets.
• Utilized libraries such as Pandas, NumPy, and Matplotlib for data manipulation, visualization, and performance evaluation.
Featured

Built a real-time facial emotion recognition system using CNNs, OpenCV, and Keras to classify emotions. Trained on the FER dataset with data augmentation.

Implemented a portfolio optimization system using Modern Portfolio Theory to maximize expected returns while minimizing risk based on investor risk tolerance.

Developed an anomaly detection framework for system and network logs using LSTM Autoencoders and Isolation Forest to identify abnormal behavior.

AI-driven hospital appointment and queue management system that predicts OPD crowd levels and recommends optimal appointment slots.
About

I'm a Full Stack data science analyst and Open Source Contributor, I love building projects to solve real-world problems. I'm specialized in building MVP's.
Skills
Somesh45das's coding journey over the past year
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My journey of building, managing, and thinking differently.
A guide to Next.js data fetching mistakes & security vulnerabilities
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Development
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