Learning: Backend Engineering, System Designs, Databases with Python
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Scienaptic
Data Scientist
June 20, 2026 – Present
Upload-Download-files-with-Django-RestAPIs
February 25, 2023 – February 25, 2023
Upload-Download-files-with-Django-RestAPIs — GitHub repository
View ProjectDRF-Authentication-API-with-JWT
October 29, 2022 – October 29, 2022
This is a complete backend API based application which contains Custom User Model, User Registration API, User Authentication/Login API, Get User Profile API, Send Password Reset Email API, Change Password API.
View ProjectOption-trading-platform-with-Django
October 26, 2022 – October 28, 2022
Here we can place trades in real-time with exit variable quantity, add quantity, and can see real-time profit and loss. Technologies used are Python, Django, Django channels for WebSocket, Redis cache, celery for background tasks, Html, JavaScript, Css, Sqlite database.
View ProjectFood-ordering-website-with-Django
August 13, 2021 – August 18, 2021
This is Food ordering website where we can register, login as restaurant and customer and also we can order food as a customer and can see all of our previous orders.
View ProjectSentiment-prediction-on-reviews
June 3, 2021 – June 3, 2021
This is a single webpage application in which we need to enter a review and this will tell you whether the review is positive or not. To make this work NLP techniques and Logistic regression algorithm is used with 94% accuracy
View ProjectDigit-Recognizer-Android-App-With-AWS
May 20, 2021 – June 2, 2021
This is a complete Android application to recognize handwritten digits. Model is trained on CNN with 99.19% accuracy. We can further train this model with new data from application itself.
View ProjectIris-flower-classification-with-EDA
May 18, 2021 – July 7, 2021
This is a very simple model to predict Iris flower species. we have three types of species in it (Versicolor, Verginica, Setosa).
View ProjectStackoverflow-Tag-Predictor
May 16, 2021 – June 2, 2021
This is a web-based application in which we are solving a Multilabel classification problem. Here we need to enter the StackOverflow question title and description and it will predict tags for the questions.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in both data science and web development. While this shows initiative, the diversity of projects (e.g., web development, Android app) might indicate a broader interest beyond a focused data science role, or a lack of deep specialization in advanced data science topics. The current role as a Data Scientist aligns well with the target role, but without further details on responsibilities, it's hard to gauge the depth of cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.