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Data Analyst with less than a year in Data Science & 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
Highly motivated and results-driven individual with a Bachelor's in Electrical and Electronics Engineering and a keen interest in data science. Possessing foundational skills in Python, SQL, Power BI, and machine learning, adept at data preprocessing, visualization, and building predictive models. Experienced through an internship and multiple academic projects focusing on actionable insights and data-driven decision-making.
Sri Eshwar College of Engineering
BE · Electrical and Electronics Engineering
August 1, 2022 – June 30, 2026
Government Higher Secondary School
HSC
June 1, 2019 – May 31, 2022
Government Higher Secondary School
SSLC
June 1, 2019 – May 31, 2019
V3 Analytics
Data Science Intern
January 1, 2024 – June 1, 2024
India
Chronic Disease Prediction using Machine Learning
January 1, 2026 – January 1, 2026
Trained and compared Logistic Regression, Random Forest, and SVM on patient health data; evaluated using confusion matrix, precision, recall, and F1-score. Performed feature selection and data balancing to enhance model reliability and reduce prediction errors on unseen patient data.
Sales Performance Dashboard
January 1, 2025 – January 1, 2025
Built an interactive Power BI dashboard tracking revenue trends, product category sales, and region-wise growth using DAX and Power Query for real-time decision-making. Integrated data cleaning and transformation in Power Query, reducing manual reporting effort and improving data accuracy across departments.
Zomato Restaurant Analysis Dashboard
January 1, 2025 – January 1, 2025
Analyzed customer ratings, cuisine preferences, and restaurant performance using Power BI with DAX functions and interactive filters to uncover actionable business insights. Identified top-performing cuisines and regional trends, enabling data-driven strategic planning and operational improvements.
ML-Based House Price Prediction
January 1, 2025 – January 1, 2025
Built a regression model using Scikit-learn with EDA and feature engineering to predict house prices; deployed as a real-time web app via Streamlit. Applied data preprocessing and outlier handling to improve model accuracy; achieved strong R² score on test data.
Introduction to Data Analytics
Coursera
January 1, 2025 – Present
Data Analysis with Python
Coursera
January 1, 2025 – Present
Structured Query Language (SQL)
Udemy
January 1, 2024 – Present
Data Analysis using Excel
Great Learning
January 1, 2024 – Present
Data Analysis and Visualization with Power BI
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in data analysis applications, from sales performance to chronic disease prediction and restaurant analysis. The internship at V3 Analytics aligns well with a data-driven culture. The breadth of tools and technologies used (Power BI, Python, SQL, ML frameworks) indicates adaptability and a willingness to learn. However, the candidate's experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate (e.g., 'Collaborated with the analytics team') and a focus on improving efficiency and accuracy, suggesting a good operational fit. The academic projects demonstrate problem-solving and analytical thinking. However, without direct assessment, the depth of these soft skills cannot be fully determined.