Jacob Asir
AI Engineer | Data + GenAI + AI Agent (AI/LLM)
Based in India
About
I’m an AI Engineer with a strong foundation in data science. My journey started with a passion for physics and problem-solving, which naturally led me into data field. Over time, I’ve specialized in building AI applications that automate workflows and enhance decision-making. I love combining analytical thinking with the creative possibilities of AI, especially when working with large language models to solve real-world problems.
Skills
Projects
Experience
March 2025 - Present
AI Engineer | MunchingAI
August 2024 - September 2024
Data Science Intern | The OAK Network
Developed a predictive model using XGBoost to forecast energy consumption at daily, weekly, and monthly intervals, increasing data-driven decision-making capabilities for energy management. • Applied advanced feature engineering techniques, resulting in improved model accuracy and actionable insights to support strategic energy management. • Built a CO2 emissions prediction model with XGBoost, achieving 89.8% accuracy and enhancing precision in emissions tracking. • Implemented comprehensive feature engineering, contributing to effective emissions reduction strategies and aligning with environmental objectives. • Generated detailed reports summarizing findings, insights, and actionable recommendations, facilitating clear communication with clients and driving informed decision-making. • De
December 2023 - January 2024
Data Science Intern | HulkHire
Objective: Conduct extensive web scraping to extract, clean, and analyze iPhone data from Flipkart • Solution: Gathered and cleaned data from Flipkart, extracting essential details for 490 iPhone entries. • Employed advanced data preprocessing techniques to clean and prepare the scraped data for analysis. • Developed a predictive model using Linear Regression to forecast iPhone prices based on the extracted features. • Evaluated the model's performance on testing data, demonstrating proficiency in web scraping, data preprocessing, and predictive modeling.
October 2023 - October 2023
Data Science Intern | Oasis Infobyte
During a project, I undertook several key responsibilities, including: • Conducting Exploratory Data Analysis (EDA) on the Unemployment dataset, providing comprehensive insights into its characteristics and trends. • Successfully engineered a machine learning model for Sales Prediction that achieved an outstanding testing accuracy of nearly 89.94%, demonstrating its efficacy in precise forecasting. • Creating and implementing a machine learning model for predicting Car Selling Prices, achieving a notable testing accuracy of approximately 90.74%, indicating a high degree of precision in forecasting.
June 2023 - July 2023
Intern - Data Science and Analytics Division | The Sparks Foundation
Objective : Perform exploratory data analysis and find out weak areas where you can work to make more profit Solution : * Thoroughly explored data paying attention to details using pandas library * Used types of representations, like histograms, bar charts, pie chart and scatter plots to identify areas where profits could be increased * By analyzing these visuals I discovered patterns and correlation * The visualizations played an important role in explaining data patterns to stakeholders
2025
GEN AI Engineer | Thoughtbins Technologies
Education
2023-2024
Data Science | International Institute of Information Technology Bangalore
2019-2022
Bachelor of Science (BS), Physics | St. Xavier's College