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Data Analyst with less than a year in Data Science & Analytics
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 Data Analyst with a strong foundation in Data Science concepts, including data preprocessing, analysis, and interpretation. Hands-on experience in data cleaning, preprocessing, and exploratory data analysis (EDA) on real-world and academic datasets. Proficient in Python, SQL, Advanced Excel, and Power BI for data analysis, reporting, and dashboard development.
G.H. Raisoni College of Engineering and Management, Jalgaon
Bachelor of Technology (B.Tech) · Data Science
N/A – June 30, 2026
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Waste Classification Using Deep Learning
June 18, 2026 – Present
Designed and developed a deep learning-based image classification system for automated waste segregation. Preprocessed image datasets using resizing, normalization, and data augmentation techniques to improve model performance. Built and trained CNN models in Python for classifying biodegradable and non-biodegradable waste categories. Evaluated model accuracy using validation metrics and optimized performance through tuning techniques.
Customer Sales Analysis and Prediction
June 18, 2026 – Present
Analyzed customer and sales datasets using Python and SQL to identify trends and key business insights. Performed data cleaning, preprocessing, and exploratory data analysis (EDA) to prepare the datasets for analysis. Built interactive dashboards in Power BI to visualize KPIs, sales trends, and customer behavior. Applied basic machine learning techniques to predict sales trends and support data-driven decision-making.
Data Science Programme (Certificate of Excellence)
ExcelR
March 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a good breadth of skills relevant to a Data Analyst role, including data cleaning, EDA, visualization, and basic machine learning. The projects cover diverse areas like waste classification and sales analysis, indicating adaptability. The target role of Data Analyst aligns well with the candidate's stated skills and experience, suggesting a good cultural fit for data-driven environments.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented approach and problem-solving skills through project descriptions. Their internship experiences suggest an ability to work on analytical problem statements and deliver project-based solutions. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.