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Data Science with 1+ years in Data Analysis & 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
Computer Engineering graduate with strong skills in Python, SQL and analytical problem-solving. Trained in Python and Machine Learning with hands-on experience in data analysis and working with real-world datasets. A fast learner with solid fundamentals and the ability to understand problems and deliver practical solutions. Looking for opportunities in Python, Data Analytics or Machine Learning to apply and grow my technical and analytical skills.
Savitribai Phule Pune University
Bachelor of Computer Engineering · Computer Engineering
August 1, 2021 – June 30, 2025
Paarsh Infotech Pvt. Ltd.
Data Science Training & Internship
January 1, 2025 – June 1, 2025
India
Root Tronics Technologies
Data Analyst Trainee
November 1, 2024 – November 1, 2025
Mumbai, Maharashtra, India
Codersbay Technologies
Data Annotator Internship
October 1, 2024 – November 1, 2024
India
Weather Prediction Comparison using Machine Learning and Deep Learning Models
October 1, 2024 – June 1, 2026
Developed a weather prediction project comparing Random Forest with deep learning models (CNN, RNN, Bi-RNN, with LSTM to get more accuracy and accurate prediction). Achieved more than 85% accuracy across all four models on historical weather data. Created visualizations and graphs to analyse weather trends and model performance. Built an end-to-end ML workflow from preprocessing to visualization.
Data Science, ML & AI with Python Course
Kiran Academy
April 1, 2025 – Present
Cultural Fit Analysis
The candidate shows a strong drive for learning and self-improvement, evidenced by multiple internships and a certification in Data Science, ML & AI. The academic project and participation in a project competition highlight initiative and a results-oriented mindset. However, the experience is primarily academic and entry-level, which might require significant mentorship and integration into a professional team culture. The diversity of projects is limited to one main academic project, and internships are short-term and foundational.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and present findings. The internships, though short, suggest an eagerness to learn and apply skills in practical settings. The academic project demonstrates problem-solving and analytical skills. However, the lack of detailed descriptions for internship responsibilities beyond 'practiced' or 'learnt' makes it difficult to assess operational fit and soft skills in a collaborative, real-world environment.