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AI Engineer with less than a year in Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To acquire a challenging position where I can utilize my skills and knowledge. I am a highly motivated and results-oriented individual with a passion for technology and innovation. Driven by curiosity for exploring new technologies and methodologies, I thrive in fast-paced environments where collaboration and creativity are valued. My excellent communication and interpersonal skills enable me to effectively work within multidisciplinary teams and communicate technical concepts to non-technical stakeholders.
Aditya College of Engineering
Bachelor of Technology · Artificial Intelligence and Machine Learning
August 1, 2020 – June 30, 2024
NRI Junior College
Intermediate (M.P.C)
June 1, 2018 – May 31, 2020
Oxford High School
10th Class
June 1, 2017 – May 31, 2018
SkillDzire
Intern
February 1, 2024 – April 1, 2024
India
SmartInternz
Intern
May 1, 2023 – August 1, 2023
India
Live Stock Prediction Using Machine Learning
January 1, 2024 – May 1, 2024
Developed a machine learning model to predict stock prices using historical data. Applied Long Short-Term Memory (LSTM) networks, a type of Recurrent Neural Network (RNN), to forecast stock prices. Utilized Python, Pandas, Scikit-learn, and Keras for model building and analysis.
The Future of Work: Data Analysis of Glassdoor Jobs
May 1, 2023 – August 1, 2023
Analyzed job descriptions from Glassdoor to identify emerging trends in job roles, skills in demand, and future workforce needs. Explored patterns in data to gain insights into the evolving job market and skills required for success. Used Python, Pandas, Seaborn, and Plotly for data analysis and visualization.
Machine Learning
Skilldzire
June 1, 2026 – Present
Data Science for Beginners
Nasscom
June 1, 2026 – Present
Data Analytics
Smartinternz
June 1, 2026 – Present
Python
Nasscom
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and foundational alignment with an AI Engineer role. Their involvement in academic projects like 'Live Stock Prediction' and 'Data Analysis of Glassdoor Jobs' shows initiative and a practical application of AI/ML concepts. The breadth of skills listed (Python, Java, SQL, ML algorithms, data science tools, data visualization) suggests adaptability and a willingness to learn diverse technologies, which is positive for cultural fit in an evolving tech environment. However, the experience is primarily academic and internship-based, which might limit exposure to complex, real-world team dynamics and enterprise-level challenges.
Soft Skills & Operational Fit
The candidate highlights problem-solving, analytical thinking, leadership abilities, and hard work as strengths. They also list communication, active learning, teamwork, adaptability, time management, and curiosity as soft skills. These indicate a potential for good operational fit within a collaborative and dynamic AI engineering team, though these claims would require validation during an interview.