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Data Scientist with less than a year in Data Science & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiast Data Scientist with 8 months of experience in data-driven problem-solving through the Intellipaat solution. Proficient in managing large datasets, visualizing data, and utilizing data frames and classification models to extract valuable insights. Possesses a strong technical foundation in C, C++, Java Core, Python, SQL, and Machine Learning.
Amity University Rajasthan
Bachelor of Technology · Computer Science and Engineering
August 1, 2016 – June 30, 2020
Stock Price Forecasting Project
June 24, 2026 – Present
Developed a stock price forecasting model utilizing Machine Learning algorithms, specifically focusing on classification and time series techniques. Achieved optimal results and high accuracy scores through data-driven approaches.
Credit Score Project
June 24, 2026 – Present
Analyzed customer behavior using statistical methods and classification models. Generated actionable insights into client performance to inform business decisions.
Limited Certification in Java Fundamentals
CEC Skill Bridge.com private Limited
June 1, 2026 – Present
Advanced Certification Course in Data Science and Al
iHUB Divyasampark, IIT Roorkee Association with Intellipaat
November 1, 2025 – July 1, 2026
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data science to real-world problems (stock forecasting, credit scoring). The certifications indicate a proactive approach to skill development. The experience, though limited (8-10 months), aligns with data-driven problem-solving. The breadth of skills listed (C, C++, Java Core, DSA, Networking, SQL, Python, Statistics, Data Visualization, NumPy, Pandas, Machine Learning) suggests a foundational technical background, but the focus is clearly on data science, aligning with the target role. The academic nature of projects and limited professional experience might require a supportive environment for growth.
Soft Skills & Operational Fit
The candidate's resume indicates an 'Enthusiast Data Scientist' profile. Project descriptions suggest an ability to apply statistical methods and machine learning for problem-solving. However, without psychometric or English test scores, it is difficult to assess logical reasoning, work attitude, stress handling, or team collaboration. The communication clarity in project descriptions is moderate.