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AI Engineer with less than a year in Machine Learning & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence and Data Science graduate with strong foundations in Machine Learning, Data Analysis, Natural Language Processing, and Predictive Modeling. Skilled in Python, SQL, Java, Scikit-learn, and data visualization techniques. Experienced through internships and academic projects in developing AI-driven solutions, building predictive models, and analyzing complex datasets. Passionate about leveraging data-driven technologies to solve real-world business problems.
SJC Institute of Technology
B.E. · Artificial Intelligence & Data Science
December 1, 2022 – May 1, 2026
Shree Vani PU College
PUC
January 1, 2020 – January 1, 2022
Nalanda High School
SSLC
January 1, 2019 – January 1, 2020
Cognifyz Technologies
Data Analysis Intern
May 1, 2026 – June 1, 2026
India
Contriver
Web Development & Data Science Intern
February 1, 2026 – May 1, 2026
India
Subway Ridership Forecasting
June 1, 2026 – June 1, 2026
Developed forecasting models using historical ridership and weather data. Applied regression and time-series techniques to predict passenger demand. Utilized Python, Pandas, NumPy, and Scikit-learn for analysis and modeling.
Fake News Detection Using NLP and Machine Learning
June 1, 2026 – June 1, 2026
Built machine learning models to classify fake and genuine news articles. Applied NLP techniques including text preprocessing and vectorization. Implemented Logistic Regression and Random Forest algorithms for prediction.
6G Zero-Touch Network Security
June 1, 2026 – June 1, 2026
Designed AI-driven security solutions for next-generation wireless networks. Developed machine learning-based intrusion detection mechanisms. Implemented Physical Layer Authentication to prevent spoofing attacks.
Natural Language Processing
Infosys Springboard
June 1, 2026 – Present
Statistical Machine Learning
Mind Luster
June 1, 2026 – Present
Deep Learning
Mind Luster
June 1, 2026 – Present
Agile Methodologies
Infosys Springboard
June 1, 2026 – Present
Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks
IRE Journals
June 1, 2026 – Present
The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' test, indicating a very strong grasp of the core concepts and practical applications in this domain.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying AI/ML in diverse domains (transportation, media, network security). The internships, though short, show an eagerness to gain practical experience. The publication in a journal suggests a research-oriented mindset, which can be a strong cultural fit for an innovative AI team. The breadth of skills listed (Python, SQL, various ML libraries, data visualization tools) indicates adaptability and a willingness to learn new technologies. However, the psychometric test score suggests potential areas for development in aspects like teamwork or stress handling, which are important for cultural integration.
Soft Skills & Operational Fit
The candidate lists teamwork, communication, problem-solving, and time management as soft skills. While the resume descriptions are clear, the communication score is moderate due to the brevity of project and experience descriptions. The psychometric test score is below average, which might indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which are crucial for operational fit in a senior role. However, without more context on the psychometric test, it's difficult to draw definitive conclusions.