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Data with 1+ years in Python, SQL, & 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
Aspiring Data Analyst with hands-on experience in Python, SQL, Power BI, Excel, and data automation workflows. Skilled in data cleaning, exploratory data analysis, dashboard development, reporting, and transforming raw data into actionable business insights. Experienced in working with structured datasets, validation processes, and analytical workflows to support data-driven decision-making.
KTU University - Mahaguru Institute of Technology
B.Tech · Computer Science
N/A – June 30, 2024
Angels Arc Senior Secondary School
Higher Secondary Education (CBSE)
N/A – May 31, 2020
Bishop Moore Vidyapith
Secondary Education (ICSE)
N/A – May 31, 2018
DataiX3
Data Analyst Intern
January 1, 2025 – Present
India
Sentiment Analysis of Google Reviews on EduTech Companies
January 1, 2025 – December 31, 2025
Developed a scalable data collection pipeline using Selenium and BeautifulSoup for multi-source review extraction. Performed data cleaning, transformation, exploratory data analysis, and predictive analytics using Pandas, NumPy, and Scikit-learn. Implemented NLP-based sentiment analysis workflows using VADER and TextBlob for customer feedback analysis. Built Power BI dashboards and visual reports to communicate customer sentiment trends and business insights.
Plant Disease Detection using Transfer Learning
January 1, 2024 – December 31, 2024
Developed a deep learning-based image classification model using ResNet-18 and PyTorch. Achieved 95.68% model accuracy through optimized training and augmentation techniques. Integrated the model into a Flask web application for real-time image prediction workflows. Performed model evaluation and prediction analysis to improve classification reliability and performance.
Python and Data Science
Techmindz, Kochi
June 1, 2026 – Present
MS Office Training
Webies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data science techniques, from web scraping and NLP to deep learning and web application integration. The internship as a Data Analyst aligns well with the target role, showing a clear career path. The breadth of technical skills listed (Python, SQL, Java, C++, various data science libraries, visualization tools) suggests a willingness to learn and adapt, which is positive for cultural fit. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, team collaboration, communication, and adaptability as soft skills. These are crucial for a data role, indicating a potential for good operational fit within a team-oriented data environment. However, without specific examples or interview validation, the depth of these skills cannot be fully assessed.