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AI Engineer with 2+ years in Machine Learning, Data Analysis & 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
B.Tech graduate in Artificial Intelligence with professional experience as a Process Analyst and hands-on training in Machine Learning, Python, SQL, NLP, and statistical analysis. Skilled in data cleaning, transformation, visualization, and building anomaly detection models for real-world applications. Strong analytical and communication skills with a passion for solving business problems using data-driven approaches. Seeking an entry-level Data Scientist / Machine Learning Engineer role.
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Bachelor of Technology · Artificial Intelligence
August 1, 2020 – June 30, 2024
Unknown
Higher Secondary Certificate
June 1, 2018 – May 31, 2020
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Secondary School Certificate
June 1, 2016 – May 31, 2018
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Anomaly Detection in Car Booking System
June 23, 2026 – Present
Designed and implemented a machine learning-based anomaly detection system to identify unusual booking patterns. Detected fraud, technical glitches, operational irregularities, and abnormal user behavior. Applied statistical analysis and machine learning algorithms to build anomaly detection models. Improved system reliability, service quality, and user confidence through early detection of anomalies. Tools & Technologies: Python, Pandas, NumPy, Machine Learning, Statistics
Cultural Fit Analysis
The candidate's project on anomaly detection and internships in data science and Python align well with an AI Engineer role, showing a clear interest and foundational experience in the field. The breadth of skills includes data analysis, machine learning, and BI tools, indicating a versatile approach. However, the experience is primarily at an intern/process analyst level, which might require significant ramp-up for a senior AI Engineer role. The volunteer experience suggests community involvement.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through clear project and experience descriptions. Their experience in collaborating with cross-functional teams and analyzing business processes suggests an operational fit for roles requiring data-driven decision support. The psychometric test results are not available, so a full assessment of logical reasoning, work attitude, stress handling, and team collaboration cannot be made.