ROHIT CH

Data Scientist Data Scientist

https://talent.gravityer.com/rohit-ch

Data Scientist with less than a year in Data Analytics & Machine Learning

Spinnaker Analytics

Key Strengths

Strong foundational knowledge in data analytics, machine learning, and computer vision, demonstrated through academic projects.
Practical experience with data cleaning, preprocessing, feature engineering, and EDA using Python libraries (Pandas, NumPy, Matplotlib, Seaborn).
Familiarity with machine learning models (Linear Regression, Random Forest) and deep learning (CNN, TensorFlow).
Understanding of ML workflow concepts from data preparation to model deployment.
Certifications in Oracle Cloud Infrastructure AI Foundations and GenAI Powered Data Analytics indicate a proactive approach to learning and staying current with industry trends.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

I am a detail-oriented Computer Science graduate skilled in data analytics and software development. I have hands-on experience in data cleaning, preprocessing, EDA, statistical analysis, and visualization using Python, SQL, Pandas, NumPy, Matplotlib, and Seaborn. I also build ML models and applications using Python and TensorFlow. With strong problem-solving and communication skills, I aim to contribute as a Data Analyst or Developer in delivering effective, data-driven solutions.

Top Skills

ExcelMatplotlib

Education

Shri Shankaracharya Technical Campus,Bhilai(Chhattisgarh)

B.Tech. · Computer Science Engineering (AI)

N/A – June 30, 2024

Experience

Spinnaker Analytics

Data Scientist Intern

September 1, 2025 – Present

India

Projects

Rain Forecasting using Machine Learning

May 1, 2025 – June 30, 2025

Built a rainfall forecasting model using historical monthly rainfall data to predict future rainfall trends. Performed data cleaning, preprocessing, and EDA to identify seasonal patterns in rainfall. Engineered lag features, rolling averages, and time-series inputs to improve model accuracy. Trained and compared machine learning models such as Linear Regression and Random Forest for forecasting.

View Project

Farm Aid-Major (Potato Disease Detection)

February 1, 2024 – March 31, 2024

Developed a computer vision-based potato leaf disease detection system using Convolutional Neural Networks (CNN). Collected and preprocessed leaf images by performing resizing, normalization, augmentation, and noise reduction to improve model robustness. Implemented train-test split, model tuning, and validation techniques to optimize performance and reduce overfitting.

View Project

Certifications

Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25)

Oracle Cloud Infrastructure

January 1, 2025 – Present

TATA GROUP GenAI Powered Data Analytics Job Simulation (2025)

TATA GROUP

January 1, 2025 – Present

Key Strengths

Strong foundational knowledge in data analytics, machine learning, and computer vision, demonstrated through academic projects.
Practical experience with data cleaning, preprocessing, feature engineering, and EDA using Python libraries (Pandas, NumPy, Matplotlib, Seaborn).
Familiarity with machine learning models (Linear Regression, Random Forest) and deep learning (CNN, TensorFlow).
Understanding of ML workflow concepts from data preparation to model deployment.
Certifications in Oracle Cloud Infrastructure AI Foundations and GenAI Powered Data Analytics indicate a proactive approach to learning and staying current with industry trends.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects (Rain Forecasting, Potato Disease Detection) show a diverse application of data science skills, from time-series analysis to computer vision. The certifications in OCI AI and GenAI Powered Data Analytics indicate an interest in cutting-edge technologies and a commitment to continuous learning, which aligns well with a dynamic, innovation-driven culture. The target role 'Data Scientist' is well-aligned with their education, project experience, and internship, suggesting a good fit for a data-centric team.

Soft Skills & Operational Fit

The candidate's resume highlights strong problem-solving and communication skills. Their internship involved collaboration with senior data scientists, indicating an ability to work in a team. The academic projects demonstrate initiative and the ability to execute data science workflows from data collection to model evaluation. The remote internship suggests adaptability and self-management.