About
Highly motivated Master of Computer Applications candidate with hands-on experience in Artificial Intelligence and Machine Learning, specializing in data preparation, predictive modeling, and deep learning. Proven ability to develop and deploy robust solutions, evidenced by projects achieving over 98% accuracy in classification and a published conference paper. Eager to leverage strong analytical skills, competitive programming expertise, and a passion for innovation to drive impactful AI solutions in a dynamic tech environment.
Work
TECHNOCOLABS SOFTWARE
|Artificial Intelligence Engineer Intern
Not specified, Not specified, India
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Summary
Led the ETA Prediction Project for Last Mile Delivery Optimization, encompassing data preparation, model development, and evaluation.
Highlights
Orchestrated the complete lifecycle of an ETA Prediction Project for Last Mile Delivery Optimization, from data ingestion to model deployment, enhancing operational efficiency.
Executed comprehensive data collection, exploration, and preprocessing, ensuring high data quality and reliability for robust predictive model performance.
Conducted in-depth Exploratory Data Analysis (EDA), rigorous data cleaning, and advanced feature engineering, leading to the successful training and testing of predictive models.
Education
National Institute of Technology, Raipur
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Master of Computer Applications (MCA)
Computer Applications
Courses
DBMS
Data Structures
OOPs
Machine Learning
Government Holkar Science College
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Bachelor of Science (BSc)
Computer Science
Languages
Hindi
Skills
Programming Languages
Python, SQL, C++, Javascript.
Data Science & ML Libraries
Pandas, NumPy, BeautifulSoup, Selenium, Scikit-learn, TensorFlow, Keras, NLTK.
Databases
MySQL, MongoDB.
Development Tools
Git, GitHub, Jupyter, MLflow, Docker, DVC, Kubernetes.
Data Visualization
Power BI, Matplotlib, Seaborn.
Core Computer Science
Data Structures, Algorithms, Object-Oriented Programming (OOPs), Database Management Systems (DBMS).
Problem Solving
Competitive Programming, HackerRank (4-star Python rating).
Projects
News Sentiment Analysis & Text-to-Speech
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Summary
Developed a web-based system for extracting, analyzing, and summarizing news articles, complemented by a text-to-speech conversion feature for Hindi content.