Data Science with less than a year in Python & 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
Certified in Data Science and currently upskilling with a specialization in Artificial Intelligence. Proficient in Python, Data Analysis. Skilled in analysis, visualization, and manipulation, with strong problem-solving and communication skills. Eager to apply knowledge to real-world projects, contribute to a dynamic team, and enhance skills in a professional environment.
Ultracollege of Engineering and Technology
Bachelor of Engineering
January 1, 2020 – January 1, 2024
OxfordMatriculation Higher Secondary School
HSC
January 1, 2018 – January 1, 2020
Shiash Info Solutions
Data Science Intern
March 1, 2026 – June 1, 2026
India
Resume Screening using Machine Learning
June 10, 2026 – Present
Built an ML-based resume screening system using Python and Scikit-learn to automatically classify resumes into relevant job roles using NLP. Improved candidate shortlisting efficiency by applying classification algorithms and optimizing model accuracy through preprocessing and feature engineering.
Hotel management system using tkinter
June 10, 2026 – Present
Built a desktop-based hotel management application using Python and Tkinter GUI. Improved data handling efficiency and provided an interactive interface for users.
House price prediction using Machine Learning
June 10, 2026 – Present
Developed a predictive model that focuses on predicting the house price using a linear regression algorithm. The model was trained and tested on the data to estimate property values accurately.
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a focus on practical applications of machine learning. The internship experience aligns well with a Data Science role, indicating a clear career path. The breadth of skills listed (ML, DL, data visualization, databases) suggests a proactive learning attitude. However, the projects are all academic, and the internship is short, limiting the assessment of long-term collaboration and adaptability in a professional environment.
Soft Skills & Operational Fit
The candidate lists communication, creativity, active listening, problem-solving, critical thinking, and leadership as soft skills. While these are valuable, there is no direct evidence from the provided data (projects, experience) to assess their operational fit or the practical application of these skills in a team or professional setting. The internship description mentions presenting findings to stakeholders, which hints at communication skills.