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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
Highly motivated and results-oriented Data Analyst and Python Developer with 0.8 years of experience. Proficient in machine learning, natural language processing, and data visualization. Skilled in Python, SQL, Power BI, and various data analysis libraries. Proven ability to clean, analyze, and visualize complex datasets to support business decisions and develop intelligent systems.
D Y Patil College of Engineering & Technology
Bachelor of Technology
January 1, 2019 – June 1, 2023
Ajara Mahavidyalaya Ajara
HSC · Senior Secondary (XII)
June 1, 2017 – February 1, 2019
Ajara Mahavidyalaya Ajara
SSC · Secondary (X)
June 1, 2015 – March 1, 2017
Human Initials
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June 1, 2025 – September 1, 2025
New Delhi, Delhi, India
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August 1, 2022 – September 1, 2022
Kolhapur, Maharashtra, India
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January 1, 2025 – January 1, 2025
Built an end-to-end YouTube comment toxicity analysis system using NLP and machine learning, including text preprocessing, TF-IDF feature extraction, and classification. Developed evaluation and inference pipelines with visual reports (confusion matrix, word cloud) and a dashboard to identify and export toxic comments.
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Unknown
June 1, 2026 – Present
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Cultural Fit Analysis
The candidate's project portfolio shows initiative and a proactive approach to learning and applying data science concepts, which aligns with a culture of continuous improvement. The diversity of projects (NLP, Computer Vision, healthcare prediction) suggests a broad interest in the field. The internship experiences, though short, indicate an ability to work in professional settings. The target role of Data Science aligns well with the candidate's project work and stated technical skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data preprocessing to model deployment and visualization. The internship experiences suggest an understanding of data quality and KPI tracking. However, without specific behavioral assessment data, it's difficult to fully assess soft skills like teamwork, problem-solving under pressure, or adaptability.