Rohit

Data Scientist

https://www.opentalent.in/rohit-4

Ramaiah Institute of Technology

Key Strengths

Strong foundational knowledge in AI/ML, particularly in computer vision and NLP, demonstrated through multiple personal projects.
Experience with real-time data processing and cloud services (AWS Kinesis, Lambda, S3, Rekognition, DynamoDB) relevant for data science pipelines.
Proficiency in Python and Streamlit for application development and deployment.
Practical experience with advanced models like YOLOv8, Vision Transformers (ViT), and Retriever-Reader Q&A models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a strong interest in AI/ML and data science through a diverse portfolio of personal projects. The projects show initiative and a drive to apply technical skills to solve real-world problems (e.g., AI-Enabled Sign Language Communication System, Attendance System using Facial Recognition). However, the lack of professional experience beyond a current role with a future start date, and the absence of team-based projects, limits the assessment of cultural fit in a collaborative professional environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to execute complex technical tasks independently.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

F1-AWS-Realtime-Telemetry-Analysis

September 23, 2024 – October 28, 2024

This project simulates real-time F1 race data, processes it using AWS Kinesis and Lambda, and visualizes driver positions and lap statistics on a dynamic dashboard. The system streams live race data, updates driver positions, and detects the fastest lap with SNS notifications.

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Serverless-Object-Detection-on-AWS

September 19, 2024 – September 23, 2024

This project builds a cloud-based object detection system using various AWS services. It allows users to upload images via a web interface, processes them with Amazon Rekognition, and stores the detected labels in DynamoDB. The system leverages S3, Lambda, API Gateway, EC2, and Auto Scaling Groups for scalability.

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Deploying-AI-Enabled-ISL

August 25, 2024 – September 19, 2024

This is a Streamlit app that detects, classifies, and translates Indian Sign Language (ISL) using custom-trained YOLOv8 and Vision Transformer (ViT) models. It supports real-time image capture, multi-language text translation, and text-to-speech conversion, enhancing accessibility and communication for ISL users.

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AI-Enabled-Sign-Language-Communication-System

July 19, 2024 – August 25, 2024

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Food-Vision

October 22, 2023 – November 15, 2023

FoodVision is an Image Classification model that is fine tuned on a Vision Transformer Model. A custom dataset was created to include 121 classes of different foods from Indian and other different cuisines. In total over 100,000 images were used to finetune the model to correctly classify foods.

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InfoSage-Retriever-Reader-Generative-Model

June 15, 2023 – July 5, 2023

InfoSage is a Question and Answering (Q&A) model using the Retriever-Reader approach. The application is built using the Streamlit framework and utilizes several modules and functionalities along with a database to store user information and feedback.

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Attendance-System-using-Facial-Recognition

May 26, 2023 – November 14, 2023

This program enables real-time face recognition for attendance marking. It uses a webcam or video input to detect and recognize faces in real-time. When a recognized face is identified with sufficient accuracy, the corresponding name is recorded in an attendance file named Attendance.csv, along with the timestamp of the recognition.

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Hotel-Management-using-SQL

January 8, 2023 – July 5, 2023

This is a simple hotel booking application built using Python and the Streamlit framework. The application integrates with a database to store and retrieve customer and room information.

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SentimentAnalysis

December 27, 2022 – January 23, 2023

This Program displays Sentiment of text inputted using a pre-trained NLP Model.

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Stocks-Comparison

December 22, 2022 – June 23, 2023

This program allows the user to compare the stock prices of three different companies.

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Key Strengths

Strong foundational knowledge in AI/ML, particularly in computer vision and NLP, demonstrated through multiple personal projects.
Experience with real-time data processing and cloud services (AWS Kinesis, Lambda, S3, Rekognition, DynamoDB) relevant for data science pipelines.
Proficiency in Python and Streamlit for application development and deployment.
Practical experience with advanced models like YOLOv8, Vision Transformers (ViT), and Retriever-Reader Q&A models.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to execute complex technical tasks independently.

Rohit

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit