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Data Analyst with less than a year in Data Cleaning & Visualization
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Assessing your cultural and operational fit
A B.Tech Computer Science Graduate seeking a challenging position in a reputable organization to expand and utilize my learning skills and knowledge. Good in Python, Power BI, SQL, Excel, honing strong analytical skills, decision-making, problem solving abilities with learning mindset and proactive approach.
MIT SDE
Post Graduate Diploma in Management · IT
August 1, 2025 – June 30, 2027
Chh. Shahu College Of Engineering
Bachelor Of Technology · CSE
August 1, 2021 – June 30, 2024
Cubic IT Service
Data Analyst Intern
February 1, 2024 – August 1, 2024
Pune, Maharashtra, India
Plant Disease Detection
June 1, 2026 – Present
Built an end-to-end image classification system to detect plant leaf diseases. Performed image preprocessing, feature extraction, and trained ML algorithms along with CNN deep learning models. Evaluated model performance using accuracy, precision, and recall to deliver a reliable disease diagnosis tool for farmers.
Data Analytics
UV Technocrats
June 1, 2026 – Present
Accenture North America Data Analytics and Visualization Job Simulation
Forage
June 1, 2026 – Present
Cloud Computing
NPTEL
June 1, 2026 – Present
Compiler Design
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in CSE and ongoing Post Graduate Diploma in Management (IT) shows a commitment to continuous learning and professional development. The diverse projects, from plant disease detection to employee retention analysis, indicate a broad interest in applying data analytics to different domains. The certifications further reinforce a proactive learning mindset. This suggests a good cultural fit for an organization that values continuous improvement and diverse problem-solving approaches.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Team Collaboration, Time Management, Effective Communication, and Decision Making. The internship experience demonstrates practical application of these skills in a data analyst role, particularly in collaborating on data cleaning and reporting tasks. The project diversity suggests a proactive approach to learning and problem-solving, which aligns well with operational fit for a data-driven environment.