Help & Supportcareers@gravityer.com
Data Science with less than a year in Machine Learning, Python, and PowerBI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Shubhangi Hiwale is an aspiring professional with a strong foundation in Computer Science and Engineering. She possesses skills in data analysis, machine learning, and web development, with hands-on experience in Python, PowerBI, SQL, and various tools. Her projects include developing a recommendation web app for farming, an intrusion network detection system, and a sales analysis report using PowerBI. She has completed internships in data science, machine learning, and Python development, demonstrating her commitment to continuous learning and practical application of technical concepts.
Deogiri Institute of Engineering and Management Studies
Btech · Computer Science and Engineering
August 1, 2019 – June 30, 2022
S.B. Higher Secondary college
12th std · PCM
June 1, 2017 – May 31, 2019
C.T.M.K. Gujrati Vidyalaya school
10th std
June 1, 2016 – May 31, 2017
Infotrixs
Python developer intern
August 1, 2023 – September 1, 2023
India
Ybi Foundation
Internship
February 1, 2022 – April 1, 2022
India
Spark Foundation
Data science and business analytic intern
August 8, 2020 – September 8, 2020
India
Intrusion Network Detection
June 1, 2026 – June 1, 2026
The dataset to be audited was provided which consists of a wide variety of intrusions simulated in a network that analyze attack class distribution. Technology used: ML, python, algorithm.
School management system
June 1, 2026 – June 1, 2026
In this project I had created one model where student information will be filled. Technology used: python, HTML.
Sales Analysis report
June 1, 2026 – June 1, 2026
In this project I have created the dashboard report using powerbi. I have done the analysis with the help of graph. Technology used: power bi.
FARMEASY
November 1, 2021 – January 1, 2022
In this project, we had created a website using HTML, CSS in which the following models are implemented using Machine Learning Deep Learning: Crop recommendation to find out most suitable crop grow in farm, Fertilizer recommendation to get informed advice on fertilizer based on soil, and Plant disease prediction to find out disease caught by plant. Technology used: Python, Jupyter notebook, html, CSS, pytorch.
Programming for Everybody (Getting Started with Python)
Coursera
June 1, 2026 – Present
AWS Fundamentals: Going Cloud-Native
Coursera
June 1, 2026 – Present
Data Science: Visualization
Edx
June 1, 2026 – Present
Object Oriented Programming in Java
Coursera
June 1, 2026 – Present
Crash Course on Python
Coursera
June 1, 2026 – Present
Data visualization with PowerBi
Great learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas like crop recommendation, network intrusion detection, and sales analysis, indicating a breadth of interest in applying data science to different domains. The certifications also show a proactive approach to learning new technologies (AWS, Python, Data Visualization). This diversity and eagerness to learn suggest a potential for good cultural fit in a dynamic, learning-oriented environment. However, the experience level is entry-level, and the projects are academic, so the ability to integrate into a fast-paced, senior-level team is yet to be proven.
Soft Skills & Operational Fit
The candidate's resume lists soft skills such as Communication, Problem-solving, Project Management, Teamwork, Time-management, and Presentation. While these are valuable, there is no assessment data to validate their proficiency. The academic project descriptions suggest an ability to work on defined problems, but the short duration of internships and lack of detailed descriptions limit the assessment of operational fit in a professional team setting.