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Data Science with less than a year in Data Analytics & 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
Detail-oriented and analytical Data Scientist, Data Analyst, Business Analyst, and AI/ML Engineer with a strong foundation in data analytics, machine learning, and business intelligence. Skilled in Python, R, SQL, and data visualization tools with hands-on experience in predictive modeling, statistical analysis, and dashboard development. Passionate about transforming data into actionable insights to drive business decisions.
CLOUDYML
Data Science & Analytics Placement Assistance Program
March 1, 2023 – December 1, 2024
Gujarat Technological University (GTU)
Bachelor of Engineering · Aeronautical Engineering
August 1, 2016 – October 1, 2020
Unified Mentor Pvt. Ltd.
Data Analyst Intern
March 1, 2025 – May 1, 2025
India
Seoul Bike Trip Duration Prediction (ML)
June 1, 2026 – Present
Built predictive models for trip duration based on weather and user data.
Haberman Cancer Dataset Analysis (Python)
June 1, 2026 – Present
Identified key survival factors using statistical methods.
Walmart Sales Forecasting (R)
June 1, 2026 – Present
Predicted sales trends using regression and time-series analysis.
Cat-Dog Image Classification (Deep Learning)
June 1, 2026 – Present
Developed a CNN model for high-accuracy image classification.
Uber Data Analysis (MS Excel)
June 1, 2026 – Present
Identified peak demand trends and ride patterns.
IPL Dataset Analysis (Tableau)
June 1, 2026 – Present
Created visual dashboards showcasing team and player performance.
COVID-19 Impact Analysis (Power BI)
June 1, 2026 – Present
Developed an interactive dashboard to track global trends.
DataMart Business Analysis (SQL)
June 1, 2026 – Present
Extracted key business insights from sales data using advanced SQL queries.
Cultural Fit Analysis
The candidate's profile shows a strong interest in data science and analytics, aligning well with a target role in this field. The diverse range of personal projects, covering deep learning, statistical analysis, forecasting, and business intelligence, indicates a proactive and curious individual. The pursuit of a Data Science & Analytics Placement Assistance Program further demonstrates commitment to the field. However, the lack of team-based projects or collaborative experiences makes it difficult to fully assess cultural fit beyond individual drive.
Soft Skills & Operational Fit
The candidate lists 'Hardworking and adaptable', 'Problem-solving & analytical mindset', and 'Effective communication skills' as strengths. The project diversity suggests an analytical mindset and willingness to explore different data challenges. However, the short internship duration and lack of detailed descriptions for project outcomes make it difficult to fully assess operational fit and soft skills in a professional setting.