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Data Science with less than a year in Machine Learning & AI
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Assessing your cultural and operational fit
Data Science graduate with internship experience at Innomatics Research Labs and strong skills in Python, SQL, and Machine Learning, Power Bi, Excel. Experienced in data preprocessing, exploratory data analysis, and model development through real-world projects. Hands-on exposure to supervised and unsupervised learning, data visualization, and basic deployment using Streamlit. Strong in problem-solving, collaboration, and time management.
MGM University, Department of Information and Communication Technology
Bachelor of Technology · Data Science
August 1, 2022 – June 30, 2026
Shivraj Kanistha Mahavidyalay
Higher Secondary Certificate (HSC) · Science Stream
June 1, 2021 – May 31, 2022
Tanwani Vidya Mandir
Secondary School Certificate · Secondary Education
June 1, 2019 – May 31, 2020
Innomatics Research Labs
Intern
January 1, 2025 – March 1, 2025
India
E-commerce Sales & Profitability Dashboard
June 1, 2026 – Present
Problem Statement : Businesses need to track sales performance and product profitability. Large sales datasets make it difficult to identify trends and top-performing products. Description: Cleaned and analyzed e-commerce sales data to identify product performance, regional sales trends, and profitability patterns. Performed exploratory data analysis to understand revenue growth and high-performing categories.Built an interactive dashboard to visualize key metrics such as total sales, profit, and top-selling products. Built an interactive Power BI dashboard showing sales, profit, and regional performance.
Supply Chain Performance Analysis
June 1, 2026 – Present
Problem Statement: Supply chain operations involve multiple suppliers and shipments, making it difficult to track delivery performance. Delays in shipments and inefficient supplier performance can impact business operations. The objective is to analyze supply chain data to identify delivery delays and supplier efficiency issues. Description: Cleaned and analyzed supply chain dataset containing shipment, supplier, and delivery information. Performed exploratory analysis to identify patterns in delivery delays and supplier performance. Created visual reports to track delivery time, delayed shipments, and supply chain efficiency.
Winner - Technophilia AI Hackathon
MIT Engineering College, Chhatrapati Sambhajinagar
June 1, 2026 – Present
5 Days Hands-on Workshop Machine Learning
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in practical business applications of data science (e-commerce, supply chain). The internship and hackathon win show initiative and a collaborative spirit. The breadth of skills listed, from core data analysis to emerging AI technologies, suggests a curious and adaptable individual. However, the experience is primarily academic and internship-based, so exposure to diverse corporate cultures is limited.
Soft Skills & Operational Fit
The candidate's resume highlights teamwork, collaboration, and problem-solving skills. The project descriptions indicate an ability to understand business problems and translate them into data analysis tasks. The internship experience suggests adaptability and a willingness to learn new technologies like Generative AI. However, without specific behavioral assessment data, a deeper evaluation of operational fit is limited.