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Data Science with 1+ years in Data Annotation & 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
Data Science professional with a Bachelor's degree in Information Technology and hands-on experience in data annotation, machine learning, and statistical analysis. Proficient in Python, R, SQL, and data visualization tools including Tableau. Demonstrated ability to analyze complex datasets and deliver actionable insights. Completed Accenture Data Analytics and Visualization Job Simulation. Seeking to leverage technical expertise and analytical skills to contribute to data-driven solutions.
Savitribai Phule Pune University
Bachelor of Engineering · Information Technology
January 1, 2020 – May 1, 2024
eligarf Technologies
Data Specialist
June 1, 2025 – Present
India
Brain Tumor Classification using Deep Learning
June 1, 2026 – Present
• Developed a Convolutional Neural Network (CNN) model to classify brain tumors from MRI images with 94% accuracy • Preprocessed and augmented dataset of 3,000+ medical images using Python (OpenCV, Keras) • Implemented transfer learning with pre-trained models (VGG16, ResNet) to optimize model performance
Customer Segmentation & Sales Prediction
June 1, 2026 – Present
• Built K-means clustering model to segment customers into 5 distinct groups based on purchasing behavior • Created interactive Tableau dashboards to visualize customer insights and sales trends for business stakeholders • Applied regression analysis to forecast sales with 87% prediction accuracy using Python and Scikit-learn
Sentiment Analysis on Social Media Data
June 1, 2026 – Present
• Performed NLP-based sentiment analysis on 50,000+ tweets using Python (NLTK, TextBlob) • Achieved 89% classification accuracy using Random Forest and Naive Bayes algorithms • Visualized sentiment trends and insights using Matplotlib and WordCloud libraries
Accenture North America – Data Analytics and Visualization Job Simulation
Accenture North America
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in different data science applications (customer segmentation, medical image classification, sentiment analysis). The current role as a Data Specialist, while not a pure Data Scientist role, shows engagement within a data science ecosystem. The certification from Accenture and mention of being an 'active contributor to data science communities' suggests a proactive learning attitude and alignment with continuous improvement. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's professional summary and project descriptions indicate an ability to analyze complex datasets and deliver actionable insights. The Data Specialist role suggests collaboration with data science teams and process improvement, indicating a team-oriented approach and problem-solving skills. The mention of automating tasks implies efficiency and a proactive mindset. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.