A Machine Learning enthusiast | Deep Learning Practitioner | A Python Developer focusing on AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Turnkey-Wallet-Integration
November 30, 2024 – November 30, 2024
A modern, secure wallet integration using Turnkey's SDK for creating embedded non-custodial wallets with multiple authentication methods.
View ProjectSamyak-Kala-Portfolio
November 21, 2024 – November 18, 2025
Samyak-Kala-Portfolio — GitHub repository
View ProjectMusicGEN
June 2, 2024 – December 5, 2024
A Deep Learning model to automatically generate a decent quality music which should be melodious and good to liste listen.
View ProjectLeetcode-Solutions-Python-3
May 28, 2021 – June 7, 2021
Solutions of leetcode problems level vise in Python 3
View ProjectSmart-Traffic-Predictor
November 10, 2020 – November 10, 2020
A Deep Learning model predicts traffic patterns using LSTM neural network and Time Series Analysis at every junction within a city.
View ProjectWind-Energy-Analysis-and-Forecast-using-Deep-Learning-LSTM
July 4, 2020 – July 5, 2020
A Deep Learning model that predict forecast the power generated by wind turbine in a Wind Energy Power Plant using LSTM (Long Short Term Memory) i.e modified recurrent neural network.
View ProjectRegression-Model-Predicting-Price-Of-Pre-Owned-Cars
April 15, 2020 – April 15, 2020
A Machine Learning Model that predicts price of pre-owned cars using Linear Regression and Random Forrest Regressor.
View ProjectNLP-Spam-Ham-Classifier
March 28, 2020 – July 24, 2020
A Machine learning classifier to predict whether the SMS is Spam or Ham by using Natural Language Processing(NLP)
View ProjectMovie-Recommender-pro
October 4, 2019 – April 24, 2020
It's a python project that suggest movies based on your present emotion/mood.
View ProjectMorse-Code-Encryter-Decrypter
August 21, 2019 – April 22, 2020
Learn about Morse Code and find out more about it.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong interest in learning and applying ML concepts. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit for a collaborative work environment. The projects are diverse within the ML domain, but lack breadth in other software engineering areas, which might limit adaptability in a broader engineering team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and no psychometric test results are available.