Parth Agrawal

AI Researcher

Ranchi, Jharkhand, India0 mo experience

Key Highlights

SIH'25 National Finalist showcasing competitive programming skills.
Strong foundation in machine learning and data analysis.
Proficient in multiple programming languages and frameworks.

Stackforce AI infers this person is a Machine Learning and Data Analysis enthusiast with a focus on Environmental Science.

Contact

Skills

Core Skills

Machine LearningData AnalysisPredictive Modeling

Other Skills

PythonPandasNumPyRandom ForestXGBoostARIMABootstrapSession ManagementPycharmJupyterGitGitHubMERN StackEngineeringResearch Skills

About

Currently a 3rd-year B.Tech. student in Computer Science & Engineering with a strong foundation in programming, problem-solving, and machine learning. Passionate about building efficient solutions and optimizing algorithms. I have a strong technical foundation with proficiency in C, Java, Python, JavaScript, HTML, CSS, and SQL. I am experienced in working with various development tools and technologies, including Jupyter Notebook, GitHub, Visual Studio Code, and PyCharm, which help me efficiently build and optimize solutions across different domains.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Indian institute of information technology lucknow

Research Intern

Dec 2023 – Jan 2024 · 1 mo · Lucknow, Uttar Pradesh, India · On-site

Analyzed over 1.5 million climate and pollution records using Python, Pandas, and NumPy to identify seasonal patterns,
anomalies, and long-term trends
Engineered and productionized machine learning pipelines using Random Forest, XGBoost, and ARIMA for predictive
climate modeling
Achieved an R2 of 0.87 and reduced RMSE by 22 percent versus baseline regression through feature engineering
Collaborated with cross-functional researchers to select Random Forest for production due to strong performance on
high-dimensional, non-linear data

PythonPandasNumPyRandom ForestXGBoostARIMA+2