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Data Science with 1+ years in Machine Learning & Python for predictive analytics.
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Assessing your cultural and operational fit
Highly motivated and results-oriented professional with a Bachelor of Technology in Engineering, specializing in data science and machine learning. Possessing 1.0 years of hands-on experience through industrial training and academic projects in data analysis, predictive modeling, and end-to-end machine learning workflows. Proficient in Python, SQL, and various data analysis and visualization tools, eager to apply technical skills and problem-solving abilities to impactful data-driven initiatives.
Institute of Technology and Management, Gorakhpur
B.Tech · Engineering
August 1, 2022 – June 30, 2026
Stepping Stone Children Academy, Gorakhpur
Class XII · ISC
June 1, 2022 – May 31, 2022
Stepping Stone Children Academy, Gorakhpur
Class X · ICSE
June 1, 2020 – May 31, 2020
DataCulture Technologies
Industrial Trainee – Fundamentals of EDA & Machine Learning using Python
July 1, 2025 – August 31, 2025
India
FoodBridge AI – Web-Based Food Donation & Waste Reduction System
August 1, 2025 – May 31, 2026
Developed a web-based platform connecting food donors with NGOs, enabling efficient data collection and redistribution tracking. Designed and implemented dashboards for donation management, user tracking, and real-time status updates using PHP and MySQL. Applied rule-based matching logic on structured datasets (food quantity, location, category, availability) to optimize redistribution. Improved data transparency and reporting through centralized status tracking, reducing food wastage.
Customer Churn Prediction System | Machine Learning
November 1, 2024 – May 31, 2025
Built an end-to-end machine learning model to predict customer churn using Python and structured business datasets. Conducted exploratory data analysis (EDA) and data preprocessing, including cleaning, encoding, and feature engineering. Applied SMOTEENN to handle class imbalance, improving model reliability on imbalanced real-world data. Achieved 94% prediction accuracy using Random Forest; compared multiple models and selected the best-performing solution.
Fundamentals of EDA and Machine Learning Using Python
DataCulture Technologies
June 1, 2026 – Present
MasterClass in Data Analytics
NoviTech R&D Private Limited
June 1, 2026 – Present
Python (Basic)
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in both web development with data integration (FoodBridge AI) and core machine learning (Customer Churn Prediction). The certifications and internship align well with a Data Science career path, indicating a proactive approach to skill development. The leadership role in a final year project suggests an ability to collaborate and take initiative. However, the overall breadth of experience is limited to academic and internship settings, which might require significant mentorship in a professional environment.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, communication, and team leadership skills through project roles. The academic background and internship indicate a structured approach to learning and project execution. However, the experience level is very junior, which might impact operational fit for senior roles requiring independent decision-making and complex problem resolution.