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Data Scientist with 1+ years in data analysis, machine learning, and cloud platforms.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with nearly 1 year of hands-on experience in data analysis, machine learning, and exploratory data analysis. Proficient in Python, SQL, and Google Cloud Platform (BigQuery), with experience building data-driven solutions and delivering actionable insights for business use cases.
Savitribai Phule Pune University
Master of Science · Statistics
August 1, 2022 – June 30, 2024
Fergusson College (Autonomous), Pune
Bachelor of Science · Statistics
August 1, 2019 – June 30, 2022
Intellitrend
Data Scientist
January 1, 2025 – Present
India
Question Classification using Machine Learning & LLMs
June 17, 2026 – Present
Built a text classification system using TF-IDF and Random Forest for automated question categorization. Integrated large language model APIs to enhance prediction accuracy and automate inference workflows.
BigQuery Data Analytics Hackathon
June 17, 2026 – Present
Analyzed large-scale datasets using Google BigQuery to derive insights under tight deadlines. Designed and optimized SQL queries for efficient data retrieval and reporting.
Product-on-Shelf Detection (Computer Vision)
June 17, 2026 – Present
Developed a YOLO-based object detection model to identify products on retail shelves. Performed data annotation, model training, and evaluation to improve detection performance.
Data Science with Python
Technogeeks Institute, Pune
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects show a diverse application of data science skills, from NLP and LLMs to computer vision and traditional ML, indicating adaptability and a broad interest in the field. Their academic background in Statistics provides a strong theoretical base. The current role as a Data Scientist aligns well with the target role. However, the limited professional experience (less than 1 year) and the focus on personal projects suggest a developing professional profile, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates a foundational understanding of data science workflows, including data cleaning, EDA, and model building. Their project experience indicates an ability to work with diverse datasets and apply various machine learning techniques. Collaboration skills are mentioned in their work experience, suggesting an ability to work within a team. However, without specific psychometric or English test scores, a deeper assessment of soft skills, stress handling, and communication clarity is limited.