👋 Hi, I'm Saloni Mahadule, a BTech CSE graduate, passionate about technology and its applications. Currently working as a SDE at Fendahl Technology.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fendahl Technology
Data Scientist
June 17, 2026 – Present
Simple-Movie-App-Using-Ionic-With-Angular-And-OMDbAPI
July 17, 2025 – July 17, 2025
A sleek, mobile-friendly app built with Ionic Framework and Angular, allowing users to search for movies, series, and episodes using the OMDb API. Users can view search results, filter by type, and explore detailed information about each title — including posters, plot summaries, ratings, directors, and actors.
View ProjectSmartMeetingSchedulerWithUI
May 23, 2025 – May 23, 2025
A smart ASP.NET MVC web application for managing and scheduling meetings efficiently, developed during my internship at Fendahl Technology, Nagpur.
View Projectmotion-detection
November 17, 2024 – November 17, 2024
motion-detection — GitHub repository
View ProjectTo-Do_web_application_using_Flask
July 4, 2024 – July 4, 2024
This project is a web-based To-Do List application that integrates Flask and Streamlit. It allows users to add, view, update, and delete to-do items. The application uses SQLite for data storage.
View ProjectData_Analysis_using_sql_and_python.
July 2, 2024 – July 2, 2024
This repository contains a Jupyter notebook that demonstrates data analysis techniques using both SQL and Python. The notebook covers various steps from loading the dataset to cleaning data, deriving new columns, and loading the cleaned data into a SQL server.
View ProjectZomato_Data_Analysis
July 2, 2024 – July 2, 2024
This repository contains a Jupyter notebook that demonstrates data preprocessing and visualization techniques using the Zomato dataset. The notebook covers various steps from loading the dataset to handling missing values, cleaning data, and visualizing key insights.
View ProjectBasic_preprocessing_and_visualization
July 2, 2024 – July 2, 2024
This repository contains a Jupyter notebook that demonstrates basic data preprocessing and visualization techniques using the Google Play Store dataset. The notebook covers various steps from loading the dataset to handling missing values, removing duplicates, and visualizing data through different types of plots.
View ProjectEDA_Report_Generator_Using_Streamlit
June 22, 2024 – June 22, 2024
The EDA Report Generator is a Python-based application designed to automate the process EDA. Built using Streamlit, a popular open-source framework for creating interactive web applications this tool simplifies and accelerates the process of data exploration, providing users with insightful visualizations and summary statistics with minimal effort.
View ProjectFalse-Social-Media-Profile-Detection-using-NLP-and-Logistic-Regression
April 12, 2024 – May 22, 2024
Fake profile detection is a critical challenge in online social networks because of the proliferation of vindictive and malicious exercises like identity theft, fraud, and misinformation. This project presents an investigation concerning the viability of logistic regression for detecting fake profiles.
View ProjectConsumer-Sentiment-Analysis-on-Amazon-Reviews-using-NLP-and-Pretrained-Transformer
April 12, 2024 – May 22, 2024
Customer Sentiment Analysis refers to extracting and analyzing textual data to discern customers' underlying sentiments, attitudes, and opinions. To achieve this, there are 3 approaches : Lexicon-based, ML-based and Pre-Trained Transformer-based. This sentiment analysis is done using the third approach i.e. Pre-Trained Transformer-based approach.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science, machine learning, and data analysis, which aligns well with a Data Scientist role. The diversity of projects, including web development, suggests adaptability. However, the experience level is listed as 0, and the current role at Fendahl Technology started recently, indicating a very junior profile. This might be a mismatch for a senior-level cultural fit without further evidence of advanced problem-solving and leadership.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse data science and web development tasks. However, without specific psychometric test results or interview data, it is difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.