# Nitin Ranjan Nag - AI/ML Engineer | Data Scientist | Full Stack Developer | Technical Leader
Source: https://hello.cv/nitinnag
Guwahati

## Links
- LinkedIn | https://www.linkedin.com/in/nitin-ranjan-nag/
- GitHub | https://github.com/NitinRanjanNag

## About
Highly motivated and results-driven AI/ML Engineer and Data Scientist with a proven track record of transforming complex data into actionable insights and developing innovative AI-powered solutions. Expertise spans deep learning, computer vision, natural language processing, and advanced data analytics, coupled with strong leadership and project management skills. Recognized for contributions to research, successful hackathons, and community building, eager to drive technological advancements and foster inclusive communication.

## Work
### Data Analyst Intern | IBM
https://www.ibm.com/
Developed an advanced vehicle data analysis framework to extract, process, and visualize key automotive insights, supporting data-driven decision-making.
- Developed an advanced vehicle data analysis framework to extract, process, and visualize key automotive insights.
- Engineered a data-driven pipeline utilizing Python and industry-standard tools for statistical analysis and percentile distribution interpretation, informing strategic decisions.
- Designed interactive Matplotlib visualizations to clearly communicate industry trends to non-technical stakeholders.
- Utilized Anaconda, Pandas, and NumPy for robust data preprocessing and exploratory analysis, ensuring workflow reproducibility through rigorous documentation.
- Collaborated on real-world analytics simulations, refining statistical interpretation and graphical data representation skills.
### QA Specialist (Research Internship) | Rochester Institute of Technology
https://www.rit.edu/
Ensured the accuracy, consistency, and reliability of AI-generated outputs across diverse tools and platforms, focusing on prompt testing and evaluation of language model behavior.
- Ensured accuracy, consistency, and reliability of AI-generated outputs across diverse tools and platforms as a QA Specialist.
- Led prompt testing, error tracking, and comprehensive evaluation of language model behavior to uphold stringent AI response quality standards.
- Collaborated closely with team members to design robust testing frameworks and optimize evaluation workflows, utilizing structured metrics and user-focused criteria.
### Data Visualization and Research Analyst (Research Internship) | Saint Louis University
https://www.slu.edu/
Led a team in transforming complex datasets into meaningful insights through data analysis, trend identification, and interactive dashboard development.
- Led a 5-member team as Data Visualization and Research Analyst, driving the transformation of complex datasets into actionable insights.
- Directed comprehensive data analysis, identified key trends, and developed interactive dashboards to facilitate data-driven decision-making.
- Enhanced data comprehension through advanced visualization tools and analytical techniques in close collaboration with team members.
### Researcher (Research Internship) | Web3Assam
https://
Researched blockchain-based climate data management, addressing challenges in accessibility, traceability, and trust, and proposing innovative Web3 solutions.
- Conducted in-depth research on blockchain-based climate data management, identifying challenges in accessibility, traceability, and trust.
- Proposed innovative solutions leveraging smart contracts, IPFS, and blockchain to enhance data security and scalability.
- Explored Decentralized Finance (DeFi) incentives for data sharing and developed a Web3-integrated proof-of-concept model.
- Contributed to a research publication and developed comprehensive technical documentation for the project.
### Computer Vision Intern | iNeuron.ai
https://ineuron.ai/
Developed an AI-powered assistive system for the hearing-impaired, focusing on sign language translation and lip movement interpretation.
- Developed an AI-powered assistive system translating sign language to text and interpreting lip movements, significantly enhancing communication for the hearing-impaired community.
- Engineered a robust deep learning model for real-time gesture recognition and an integrated lip-reading system using computer vision and speech recognition.
- Curated culturally and linguistically relevant training data to overcome dataset limitations, improving model accuracy by over 15%.
- Built a scalable, modular framework with a public GitHub repository, facilitating further research and development efforts.
- Leveraged deep computer vision, NLP, and model optimization techniques to bridge communication barriers and foster inclusivity.
### Computer Vision Intern | Physics Wallah
https://www.pw.live/
Deployed a deep learning-driven crop yield prediction framework, integrating CNNs and RNNs to model environmental factors and management practices.
- Deployed a deep learning-driven crop yield prediction framework, integrating CNNs and RNNs to model environmental factors and management practices.
- Enhanced predictive accuracy across diverse regions by addressing genotype-environment interactions and nonlinear weather effects.
- Engineered a scalable solution leveraging USDA-NASS datasets, ensuring adaptability and robustness across untested conditions.
- Optimized system performance for cloud deployment, maintaining modular code and comprehensive public documentation for scalability.
### Robotics and IoT Intern | TechBooster
https://
Developed IoT systems, including Bluetooth-controlled LED and IR sensor-integrated radar systems, and integrated functional IoT platforms.
- Developed IoT systems, including a Bluetooth-controlled LED and an IR sensor-integrated radar system.
- Applied Arduino and Python for real-time IoT project implementations and applications.
- Integrated a functional IoT platform for cloud-based remote control, enhancing system accessibility.
### Machine Learning Intern | NIELIT Guwahati
https://nielit.gov.in/guwahati/
Completed a summer internship focused on developing an image classification pipeline for fruit and flower datasets.
- Developed an image classification pipeline during a summer internship, analyzing fruit and flower datasets using regression and supervised learning models.
- Engineered data preprocessing workflows and optimized classification accuracy by integrating deep learning frameworks (TensorFlow, Keras) with traditional ML techniques.
- Utilized Scikit-Learn for model training and validation, and Matplotlib/Seaborn for dataset visualization and feature exploration.

## Volunteer
### Secretary | IEEE Student Branch, Gauhati University
https://
Responsible for organizing alumni meet-ups, preparing event minutes, assisting the tech team, and leading website development for the IEEE Student Branch.
- Organized monthly Alumni Meet-ups under IEEE SB in collaboration with the Department of ECE.
- Prepared in-depth minutes for all events, ensuring accurate record-keeping.
- Assisted the Tech Team in ensuring the seamless execution of technical aspects for events and meetings.
- Led the development of the official IEEE Student Branch Website, enhancing online presence.
### Event Management Co-Lead | Cloud Native Computing Foundation (CNCF) Guwahati
https://www.cncf.io/
Co-led event management and community organizing efforts for CNCF Guwahati.
- Contributed to successful event completion and organized community events under CNCF Guwahati.
### App Development and Flutter Co-Lead | Google Developer Groups - on Campus
https://developers.google.com/community/gdg
Mentored multiple student teams in app development and Flutter projects for various Google-sponsored challenges.
- Mentored a team of 5 students to complete their Google Cloud Study Jams Program.
- Mentored 3 teams (4 students each) to complete their projects for the Google Solution Challenge.
- Mentored 2 teams (5 students each) to complete their projects for Hackdays 3.0 (Hackathon hosted by Department of Information Technology, Gauhati University).
### Mentor | Topmate
https://topmate.io/
Provided 1:1 guidance to over 25 students on corporate internships, resume review, and career development.
- Guided over 25 students (1:1) towards corporate internships, resume review, and writing.
- Grew LinkedIn following to over 7,200 followers by providing guidance and assistance through posts and direct messages.

## Education
### Gauhati University | Electronics and Communication Engineering
https://www.gauhati.ac.in/

## Awards
### 1st Place, HackDays 2.0
Gauhati University
Awarded first place in a 48-hour hackathon organized by Gauhati University.
### 2nd Place, Inspirathon 2025
IIITG
Secured second place in a 24-hour hackathon organized by IIITG.
### 3rd Place, Udbhav 2.0
Gauhati University
Achieved third place in a 24-hour hackathon organized by Gauhati University.
### 4th Place, Alliance Medical Innovation Challenge International Hackathon
Alliance Medical Innovation Challenge
Ranked 4th globally in the Alliance Medical Innovation Challenge International Hackathon.
### Qualified for 2nd Round, Smart India Hackathon 2024
Smart India Hackathon
Successfully qualified for the second round of the prestigious Smart India Hackathon.
### Featured on Times Square Billboard
Topmate.io
Recognized for contributions through Topmate.io, resulting in a feature on a billboard in Times Square, New York City.
### Featured in Topmate's Fresh Faces in Emerging Experienced Coders
Topmate.io
Acknowledged among Topmate's 'Fresh Faces in Emerging Experienced Coders', alongside 52 top IT professionals.

## Publications
### Understanding [Climate Data X Web3] - Reshaping the Future of Data Protocols
Web3Assam | https://
Research paper on blockchain-based climate data management, exploring challenges and proposing solutions using smart contracts, IPFS, and Web3 integration.
### Enhancing Digital Learning: AI-Powered Content, Engagement, and Workflow Optimization
Rochester Institute of Technology | https://
Ongoing research on optimizing AI-generated content and workflows for digital learning platforms, focusing on quality assurance and evaluation methodologies.

## Languages
- English | Native
- Hindi | Native
- Assamese | Native

## Projects
### Emotion Recognition using Neural Network
https://
A neural network-based project for emotion recognition, deployed on AWS.
### Protex - AI Powered Flood Prediction and Mapping App
https://
An AI-powered application utilizing multiple sensors, Arduino, and ML algorithms to predict and warn about localized floods.
### Household Water Tank Water Level Indicator and Alarm Prototype
https://
A prototype system using an Ultrasonic Module and Arduino to monitor water levels and trigger alarms.
### Voice Controlled Glowing Bulb
https://
An IoT relay system enabling voice-controlled operation of a glowing bulb, integrating voice control and recognition modules with Arduino.
### Sentify - Sentiment Analysis Tool for Social Media Platforms
https://
A sentiment analysis tool designed for social media platforms.
### Computer Vision Solution for Hearing-Impaired
https://
An AI-powered assistive system translating sign language into text and interpreting lip movements for the hearing-impaired.
### Crop Yield Prediction – Deep Learning Framework
https://
A deep learning-driven framework integrating CNNs and RNNs to model environmental factors and management practices for crop yield prediction.
### Edify - Educational Template Making Website
https://
An educational template creation website designed to function similarly to Shopify.
### Heal Hub - AI Solution single platform for HealthCare
https://
A comprehensive AI-powered platform designed to integrate various healthcare solutions.
### Care Connect - Comprehensive HealthCare Platform
https://
A comprehensive healthcare platform designed to improve connectivity and access to medical services.
### GU Programming Language
https://
A programming language designed with easier syntax and enhanced capabilities for handling complex tasks.
### Parkinson's Disease Prediction Project
https://
A project utilizing predictive data analysis to forecast Parkinson's disease.
### IPL Score Prediction Project
https://
A project using predictive data analysis to forecast IPL (Indian Premier League) scores.
### Power BI - Netflix Dashboard
https://
A dashboard created using Power BI to visualize Netflix data.

## Skills
### Programming Languages
Expert
- Python (9)
- Go (7)
- C++ (7)
- C (7)
- JavaScript (7)
- HTML/CSS (7)
- TF/Pytorch (9)
### Data Science & ML/AI
Expert
- Deep Learning (9)
- Computer Vision (9)
- Natural Language Processing (NLP) (8)
- Machine Learning (ML) (9)
- Data Analysis (9)
- Data Visualization (9)
- Statistical Analysis (8)
- Regression Models (8)
- Supervised Learning (8)
- CNNs (9)
- RNNs (9)
- Model Optimization (8)
- Prompt Testing (8)
- Language Model Evaluation (8)
- Trend Identification (8)
- Dashboard Development (8)
### Libraries & Frameworks
Expert
- NumPy (9)
- Pandas (9)
- Matplotlib (9)
- OpenCV (8)
- Scikit-Learn (8)
- TensorFlow (9)
- Keras (9)
- React (7)
- Flask (7)
- Django (7)
### Developer Tools & Platforms
Expert
- VS Code (9)
- Excel (9)
- Git (9)
- GitHub (9)
- Jupyter Notebook (9)
- PyCharm (9)
- Anaconda (9)
- Tableau (8)
- PowerBI (8)
- Linux (8)
- MongoDB (8)
- Docker (8)
- Azure (8)
- GCP (8)
- Arduino (7)
- Raspberry Pi (7)
### Other Technologies
Competent
- Dart (6)
- Swift (6)
- MATLAB (6)
- Java (6)
- R (6)
- Android Studio (6)
- PSPICE (6)
- Angular (6)
- Vue (6)
- Express (6)
- Node.js (6)
- React-Native (6)
- Web3 (7)
- Blockchain (7)
- Smart Contracts (7)
- IPFS (7)
- DeFi (6)

## Source
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