Sanchari Ray
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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 Engineer @Rockwell Automation 💻 • Prev @Salesforce, Code4GovTech • AWS AI & ML Scholar’22 • AI , ML , Data Science 🛠️
With expertise in programming languages like Python, SQL, and C++, Sanchari has a strong foundation in both backend and frontend development. She has extensive experience with frameworks such as Django, FastAPI, ReactJS. Her passion for innovation is evident in her work, which includes implementing a suggestion system using Gemini API and optimizing skill extraction with VectorDB (Qdrant), achieving a 100x performance improvement. In addition to her development skills, Sanchari has collaborated closely with machine learning teams, contributing to projects like asynchronous API development and authoring research papers in Machine Learning and Deep Learning . She also possesses expertise in Salesforce, including SOQL, SOSL, and Apex programming. Sanchari Ray is currently working as a Software Engineer Trainee at Rockwell Automation and holds a Bachelor’s degree in Computer Science from KIIT, Bhubaneswar. Sanchari also has good problem-solving abilities, strong communication skills, and a proactive approach to learning. She is committed to deepening her technical knowledge while delivering impactful solutions in the field of automation and technology.
Kalinga Institute of Industrial Technology, Bhubaneswar
Bachelor of Technology - BTech, Computer Science
September 1, 2020 – July 1, 2024
Aditya Birla Vani Bharati
SCIENCE
January 1, 2006 – February 1, 2020
Rockwell Automation
Data Engineer
July 1, 2025 – Present
Pune District, Maharashtra, India · On-site
Rockwell Automation
SWE Trainee
July 1, 2024 – October 1, 2025
Pune District, Maharashtra, India · On-site
RecruitAI
Machine Learning Engineer
January 1, 2024 – March 1, 2024
Remote
Navodita Infotech
Frontend Developer Intern
December 1, 2023 – April 1, 2024
Bengaluru, Karnataka, India
Code for GovTech (C4GT)
Data Science Intern
June 1, 2023 – September 1, 2023
Salesforce
Developer Intern
May 1, 2023 – July 1, 2023
Bengaluru, Karnataka, India · Hybrid
Walmart Global Tech India
Advanced Software Engineering Virtual Experience Program
May 1, 2023 – May 1, 2023
Cadence Design Systems
Cadane Design Systems Virtual Program
March 1, 2023 – March 1, 2023
Amazon Web Services (AWS)
AWS AI & ML Scholar
December 1, 2022 – July 1, 2023
GDSC KIIT
Machine Learning
December 1, 2022 – April 1, 2023
Atlassian
Participant
October 1, 2022 – October 1, 2022
Gender and Age Detection System
May 1, 2023 – May 1, 2023
In this Python project, I used deep learning to precisely determine a person's gender and age using just one photograph of their face.'Male' or 'Female' may be the expected gender, and '0 - 2', '4 - 6', '8 - 12', '15 - 20', '25 - 32', '38 - 43', '48 - 53', or '60 - 100' may be the predicted age, with 8 nodes in the final softmax layer. Due to elements like cosmetics, lighting, obstacles, and facial expressions, it is quite challenging to determine an exact age from a single image. I decided to make this a classification problem rather than a regression problem.
CIFAR-10-Object-Recognition-using-ResNet50
May 1, 2023 – May 1, 2023
This project aims to demonstrate object recognition on the CIFAR-10 dataset using the ResNet50 deep learning model. The CIFAR-10 dataset consists of 60,000 32x32 color images across 10 different classes, with 6,000 images per class. The ResNet50 model is a convolutional neural network architecture that has achieved state-of-the-art performance on various image classification tasks.
Multiple-Disease-Prediction-System-Using-Streamlit
April 1, 2023 – April 1, 2023
The Multiple Disease Prediction System is a web-based application developed using Streamlit framework that allows users to input values for certain symptoms and the system will predict if the user have Diabetes , Heart Disease or Parkinson's Disease. This system aims to assist users in identifying potential diseases quickly and conveniently, promoting early detection and timely medical intervention.
Customer Profiling
December 1, 2022 – December 1, 2022
The different types of customers have been segmented using K-MEANS CLUSTERING and the clusters are divided into 5 types: a. High Income, High Spending Score b. High Income, Low Spending Score c. Average Income, Average Spending Score d. Low Income, High Spending Score e. Low Income, Low Spending Score The position of the clusters and their respective types are mentioned in the code file.
Web Traffic Time Series Forecasting
November 1, 2022 – December 1, 2022
Web traffic time series forecasting involves predicting the number of visits to a website over a specific period of time and thus using LSTM model I have forecasted the amount of visitors in next 24hrs.
Stock Price Prediction
October 1, 2022 – November 1, 2022
This project utilizes Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices. For data with timeframes recurrent neural networks (RNNs) come in handy but recent researches have shown that LSTM, networks are the most popular and useful variants of RNNs.
Breast Cancer Diagnosis
September 1, 2022 – October 1, 2022
In this project, we have used certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer.
My Personal Portfolio
March 1, 2020 – April 1, 2021
This website serves as an online portfolio to showcase my web presence, resume, story, & featured projects .
Gait Examination
JTP Co. Ltd.
June 25, 2026 – Present
PRDV151: Bitcoin for Everybody
Saylor University
June 25, 2026 – Present
Bitcoin for Developers I
Saylor University
June 25, 2026 – Present
The Web Developer Bootcamp 2021
Udemy
June 25, 2026 – Present
Neural Network and Deep Learning
DeepLearning.AI
June 25, 2026 – Present
CoCubes Assessment
CoCubes.com
June 25, 2026 – Present
Edapt Blockchain Fundamentals
Edapt
June 25, 2026 – Present
Cybersecurity Roles,Processes & Operating System Security
Coursera
June 25, 2026 – Present
React (Basic) Certificate
HackerRank
June 25, 2026 – Present
Data Visualization using Python
Great Learning
June 25, 2026 – Present
AWS Academy Introduction to Cloud Semester 1
Amazon Web Services (AWS)
June 25, 2026 – Present
Problem Solving (Intermediate) Certificate
HackerRank
June 25, 2026 – Present
Problem Solving (Basic) Certificate
HackerRank
June 25, 2026 – Present
Introduction to cybersecurity Tools & cyber attacks
Coursera
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including personal projects and internships across different companies (RecruitAI, Code for GovTech, Salesforce, Walmart, AWS), indicates a broad interest in technology and a willingness to explore various domains. The focus on AI/ML aligns well with the target role of ML Engineer. Participation in a company hackathon and working with diverse teams suggests a collaborative mindset. The range of technologies and problem types tackled in projects (from image recognition to time series forecasting and customer segmentation) shows versatility and a continuous learning approach, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to articulate technical challenges and solutions. The variety of projects and internships suggests adaptability and a proactive learning attitude. The hackathon win at Rockwell Automation demonstrates teamwork and problem-solving under pressure. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.