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Rohit SinghRS
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Rohit Singh

@rohitsingh25

I build AI-driven image annotation solutions and lead teams delivering high-quality training data.

United States
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What I'm looking for

I'm looking to build AI and machine learning solutions that turn complex data and imagery into reliable insights, while leading teams, improving operational quality, and driving informed business decisions.

At Granular, I’m building an AI solution for roof damage identification while leading a team of eight annotators.

I previously labeled real-world phenomena in imagery, using annotation tools to accurately categorize events and elements against high data-quality standards. My work combines image analysis, JSON, NoSQL, training, and operational leadership.

At Namekart, I researched market dynamics, identified trends, and used Excel and SQL to deliver actionable business and consumer insights. I also contributed to global networking, domain sales, digital marketing, and report writing.

I’ve applied machine learning to Titanic survivability prediction and COVID-19 time-series forecasting, using EDA, feature engineering, KNN, regression analysis, SQL, and Facebook Prophet. Earlier operational work in power plants strengthened my experience with plant operations, maintenance, safety, reporting, and contractor management.

Experience

Work history, roles, and key accomplishments

Namekart logoNA

Business Research Analyst

Jul 2024 - Oct 2024 (3 months)

Deep understanding of market dynamics, employing tailored strategies to identify trends, leading to impactful business outcomes and valuable professional networks. With a strategic approach to data analysis and market insights, positioned to drive business success through informed decision-making and optimized operational strategies.
Global Networking- Adept in global networking strategies, contri

Granular logoGR

Data Annotator

Jun 2024 - Aug 2024 (2 months)

Identify and label real-world phenomena in imagery. Using tools to categorize events and other elements and ensuring data is accurately tagged and meets our high standards.

Intellipaat logoIN

Machine Learning Intern

Feb 2023 - Oct 2023 (8 months)

Predict survivability on the RMS Titanic
Used KNN method to guess the passengers that have most chances of surviving a shipwreck. EDA was performed to understand the dataset and feature engineering to find the relevant labels for the analysis.
Analyzing the trends of Covid-19
Forecasting the number of future cases using current data using Time Series model by importing Facebook prophet

Reliance Industries Limited logoRL

Manager

Aug 2017 - Dec 2019 (2 years 4 months)

I was responsible for uninterrupted supply of steam and power in NMD complex and proper operation of my plant area. My job include fuel and load optimization, maintaining optimum
operational parameters, permit preparation using SAP system for field jobs, maintaining fuel,
lube oil and chemical inventory and other tasks associated with a particular shift. Gas turbine
starting, stopping, auxiliary c

Education

Degrees, certifications, and relevant coursework

MT

Massachusetts Institute of Technology

Postgraduate Degree, Machine Learning with Python-From Linear Models to Deep Learning

2023 - 2023

This course was about principles and algorithms for turning training data into effective automated predictions.
- Representation, over-fitting, regularization, generalization, VC dimension;
-Clustering, classification, recommender problems, probabilistic modeling, reinforcement learning;
-On-line algorithms, support vector machines, and neural networks/deep learning.

MT

Manipal Institute of Technology

Bachelor of Technology (BTech), Mechanical Engineering

2013 - 2017

Manipal Institute of Technology logoMT

Manipal Institute of Technology

Bachelor of Technology, Mechanical Engineering

2013 - 2017

Pursued a Bachelor of Technology in Mechanical Engineering from 2013 to 2017.

JS

Jawahar Vidya Mandir Shyamali

CBSE 12th, Science

2012 - 2013

SS

St. Thomas School

ICSE 10th

2010 - 2011

Tech stack

Software and tools used professionally

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