Himanshu Ghadigaonkar
Data ScientistData Scientist
Mumbai, Maharashtra, India
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
catalyst-boilerplate
June 6, 2025 – June 6, 2025
to test features and options in catalyst boilerplate
View Projectflux-ui
March 10, 2025 – March 10, 2025
A simple, clean interface for the BFL Flux image generation API. I want to learn how to make this type of thing
View Projectnews-talker-buddy.github.io
March 8, 2025 – March 8, 2025
news-talker-buddy.github.io — GitHub repository
View ProjectflaskProject
September 12, 2020 – September 14, 2020
basic website fon flask for understaidng various features of pycharm and Flask
View ProjectCPP_project
September 12, 2020 – September 12, 2020
CPP Project for Tensorflow, IOT and Camera Integration.
View Projectbasic-website-iot-integration
September 10, 2020 – September 10, 2020
A website with IOT integration
View ProjectHand-activity-recognition
June 12, 2020 – June 12, 2020
Classification between Walking and Running
View ProjectIMU-with-DX-100-robot-arm
March 4, 2019 – March 7, 2019
myAHRS plus with DX100 udp communication to robot arm in PYTHON and matlab
View Project2wheelRobot_arduino_rotaryEnc_Speed
November 6, 2018 – November 8, 2018
this is my attempt at making a two wheeled robot for simulations of different codes. the robot and its PID speed control values are what i found to be best.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration across various technologies (robotics, web development, IoT, machine learning). This indicates a self-starter mentality and curiosity, which can be a positive cultural fit for an innovative environment. However, the projects are predominantly personal and lack team collaboration context, making it difficult to fully assess collaborative cultural fit. The diversity of projects, while showing breadth, also suggests a lack of deep specialization in a single area relevant to a senior Data Scientist role.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. Project descriptions are brief, and there are no interview notes or peer feedback.