Data Science with 1+ years in Python, SQL, Machine Learning, NLP, and Data Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Science professional skilled in Python, SQL, Machine Learning, NLP, and Data Visualization. Experienced in EDA, predictive modeling, feature engineering, and building data-driven solutions through internships and projects.
Aditya Silver Oak Institute of Technology, Ahmedabad
B.Tech · Computer Engineering
August 1, 2021 – June 30, 2025
Unlox Academy
Data Science Trainee
November 1, 2025 – February 1, 2026
India
InnoByte Services
Python Developer Intern
July 1, 2025 – August 1, 2025
India
Sutra Analytics Private Limited
Python Developer Intern
January 1, 2024 – June 1, 2024
Ahmedabad, Gujarat, India
Retail Sales Analytics Dashboard
June 18, 2026 – Present
Analyzed 73K+ retail sales records using Python and SQL to identify sales trends and revenue patterns. Performed data cleaning and EDA to improve reporting accuracy and data consistency. Built an interactive Power BI dashboard to visualize KPIs and regional sales performance.
Sentiment Analysis System
June 18, 2026 – Present
Developed an NLP-based sentiment analysis model using TF-IDF and machine learning algorithms. Applied preprocessing techniques including tokenization and vectorization on text datasets. Achieved 82% classification accuracy through model evaluation and optimization techniques.
Data-Driven Social Engagement Prediction System
June 18, 2026 – Present
Analyzed user engagement datasets to identify behavioral trends and audience interaction patterns. Performed data preprocessing, visualization, and feature analysis to extract actionable business insights. Built predictive machine learning models to forecast user engagement and improve targeting strategies.
Cultural Fit Analysis
The candidate's projects and internships show a strong alignment with data science roles, indicating a clear career interest. The diversity of projects (retail analytics, sentiment analysis, social engagement prediction) suggests adaptability and a willingness to explore different problem domains within data science. The listed soft skills like 'Team Collaboration' also point towards a positive cultural fit, though this would need validation during interviews.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and communication skills through project descriptions. Their experience in team collaboration and time management, as listed in their resume, suggests a foundational operational fit. However, without specific assessment data on these soft skills, a deeper evaluation is not possible.