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Data Science with less than a year in Machine Learning & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Computer Science and Engineering professional with strong foundations in Java, Python, Data Structures, SQL, and problem-solving. Passionate about building efficient software solutions and exploring intelligent systems using principles of machine learning, deep learning, and computer science. Committed to delivering clean, modular code and contributing effectively to development teams.
KIT's College of Engineering (Autonomous), Kolhapur
B.Tech · Computer Science and Engineering (Data Science)
August 1, 2022 – June 30, 2025
Government Residence Women Polytechnic, Tasgaon
Diploma · Computer Engineering
August 1, 2019 – June 30, 2022
Sou. Vijaymala Kadam Vidyalaya, Palus
SSC
June 1, 2019 – May 31, 2019
Amplifier Electronics Pvt. Ltd.
Python Intern
February 1, 2024 – July 1, 2024
Karād, Maharashtra, India
Bharat Intern
Data Science Intern
September 1, 2023 – October 1, 2023
India
AICTE-EduSkills
Data Analytics Process Automation
September 1, 2023 – November 1, 2023
India
Sales Data Analysis Dashboard using Power BI
June 1, 2026 – Present
Imported and cleaned sales data from CSV files using Power Query by fixing data types, column names, and handling missing values. Created DAX measures such as Total Sales, Total Profit, and Total Quantity to enable dynamic KPI analysis. Designed an interactive Power BI dashboard using KPI cards, clustered bar charts, and line charts to analyze category-wise and monthly sales trends. Generated actionable business insights to support data-driven decision-making for sales performance evaluation.
Sales Data Analysis using Python
June 1, 2026 – Present
Performed data cleaning and exploratory data analysis (EDA) on a real-world sales dataset to identify sales trends and profitability patterns. Analyzed category-wise and region-wise sales performance and evaluated the impact of discounts on profit using Python and Pandas. Created visualizations using Matplotlib to present business insights and support data-driven decision making.
Diabetic Retinopathy Detection using Deep Learning
June 1, 2026 – Present
Developed a CNN-based model to detect diabetic retinopathy from retinal images, achieving 92% accuracy and enabling early diagnosis.
Alzheimer Disease Prediction using Machine Learning
June 1, 2026 – Present
Built a classification-based ML model to predict early Alzheimer's disease using MRI data, improving prediction accuracy and supporting early diagnosis.
Data Science with Machine Learning
miTu Skillologies
June 1, 2026 – Present
Machine Learning & AI
Technex'23, Varanasi
June 1, 2026 – Present
AWS Academy Machine Learning Foundations
AWS Academy
June 1, 2026 – Present
Data Analytics Process Automation
AICTE-EduSkills
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales data analysis to medical image processing using ML/DL, indicates a broad interest and adaptability, which are positive for cultural fit. The listed soft skills (team collaboration, problem-solving) also suggest a good fit for collaborative environments. The academic background in Computer Science and Engineering (Data Science) further aligns with a data-driven culture. However, the experience is primarily academic and internship-based, so real-world team dynamics exposure is limited.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, analytical thinking, and adaptability as soft skills. Project descriptions also indicate an ability to work with data, analyze trends, and generate insights, which are crucial for operational fit in a data science role. However, the descriptions are brief, limiting a deeper assessment of these skills in practice.