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Machine Learning Engineer with less than a year in Predictive Modeling, Data Visualization, and Soft
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mubasshir Shaikh is an aspiring Machine Learning Engineer Trainee with 0.8 years of experience in developing predictive models, creating interactive data visualizations, and optimizing data preprocessing pipelines. He has a solid foundation in Data Analysis, ML Algorithms, and Software Engineering from Dr. Babasaheb Ambedkar University, complemented by practical experience as a Junior Software Development Intern where he focused on user-centric design and prototyping. His project work includes building a recommendation engine and an ATS job matcher using machine learning.
HIGHER SECONDARY EDUCATION
HSC · Computer Science
June 1, 2020 – May 31, 2021
DR. BABASAHEB AMBEDKAR UNIVERSITY
Bachelor of Engineering · Electronics and Telecommunication Engineering
N/A – August 1, 2025
THE KIRAN ACADEMY
Machine Learning Engineer Trainee
September 1, 2025 – Present
Pune, Maharashtra, India
VIDUNAYA TECHNOLOGIES PVT.LTD.
Junior Software Development Intern
March 1, 2025 – July 1, 2025
Pune, Maharashtra, India
RECOMMENDATION ENGINE
June 1, 2026 – Present
Built a recommendation engine on dataset of 3803 rows and 24 features, applying collaborative and content-based filtering. System suggests movies to users based on their preferences. Utilized Python, Pandas, NumPy, and Scikit-learn for data preprocessing, feature engineering, and model Building. Applied cosine similarity, TfidfVectorizer and hybrid approaches to improve recommendation accuracy.
View ProjectATS JOB MATCHER USING ML
June 1, 2026 – Present
Engineered an automated Resume-Job matching system using Sentence-BERT (all-MiniLM-L6-v2) to calculate semantic similarity between candidate profiles and job descriptions. Implemented a custom Skill Gap Analysis engine using spaCy to extract high-value entities and identify missing technical competencies from unstructured text data. Utilized Python, PyPDF2, and Cosine Similarity to achieve context-aware scoring, surpassing traditional keyword-based ATS filtering methods in precision and relevance.
Data Analytics
Accenture
June 1, 2026 – Present
Data Visualization
Tata by Forage
June 1, 2026 – Present
Front-end UI
Devtown
June 1, 2026 – Present
Python with Data Science
Kiran Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a practical application of ML concepts. The 'Machine Learning Engineer Trainee' role aligns well with the target role, indicating a clear career path. The 'Junior Software Development Intern' role, while not directly ML, shows exposure to software development processes and collaboration. The certifications in Data Analytics, Data Visualization, and Python with Data Science indicate a proactive approach to learning and skill development. However, the overall experience level is low (trainee/intern), which might impact immediate cultural integration into a senior role requiring significant independent contribution and mentorship.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as communication, attention to detail, problem-solving, adaptability, resilience, and collaboration. These are valuable for operational fit in a team environment. The volunteer coordinator experience also suggests leadership and organizational skills. However, without specific assessment data on these, it's difficult to provide a deeper analysis of their operational fit.