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Data Science with 2+ years in machine learning solutions & data-driven decision making.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with 2+ years of experience developing machine learning solutions across fintech and analytics domains. Skilled in Python, SQL, Scikit-learn, and XGBoost with experience in credit risk modeling, NLP classification, predictive modeling, and time-series analysis. Experienced in data cleaning, preprocessing, feature engineering, and building end-to-end ML pipelines with model evaluation to support data-driven decision making.
YCIS, Satara
Master of Science · Statistics
August 1, 2018 – June 30, 2020
Shivaji University, Kolhapur
Bachelor of Science · Statistics
August 1, 2015 – June 30, 2018
Radix Analytics Pvt Ltd
Data Scientist
March 1, 2022 – June 1, 2024
Ahmedabad, Gujarat, India
Professional Development & Independent Work
June 1, 2024 – Present
Exploring Generative AI applications using LLMs and prompt engineering for practical data science workflows. Learning AWS cloud services and experimenting with cloud-based environments for data processing and ML experimentation. Performing Python-based data analysis and machine learning experimentation to strengthen modeling and data engineering skills.
Mastering Generative AI and ChatGPT
GeeksforGeeks
July 1, 2025 – Present
AWS Certified Cloud Practitioner Exam [Certification Course]
GeeksforGeeks
June 1, 2025 – Present
The Complete Python Developer
Udemy
April 1, 2024 – Present
Python for Machine Learning
Great Learning
September 1, 2020 – Present
Cultural Fit Analysis
The candidate's project diversity, including fintech, analytics, and NLP, indicates adaptability and a broad interest in applying data science across different sectors. Their independent learning in Generative AI and AWS shows initiative and a desire to stay current with industry trends, which aligns well with a culture of continuous improvement. The target role of Data Science is a strong match for their skills and experience.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude and a structured approach to problem-solving, as seen in their independent work and project descriptions. Their experience in automating workflows and developing internal tools suggests an operational mindset focused on efficiency. However, the provided data does not offer direct insights into communication, teamwork, or stress handling abilities.