Data Science with 1+ years in Machine Learning, Data Analysis, and Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and analytical B.Sc. Mathematics graduate with a strong foundation in data analysis, machine learning, and statistical problem-solving. Skilled in Python, R, SQL, Excel, and data visualization tools, along with libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, and Keras. Experienced in building machine learning models, deploying AI applications using Streamlit and Hugging Face, and developing interactive dashboards through real-world projects. Currently expanding practical knowledge through data science internship experience, with a passion for transforming data into meaningful insights and data-driven solutions.
Sri C Achutha Menon Govt College
B.Sc. Mathematics · Mathematics
September 1, 2022 – March 1, 2025
CJMA HSS
Higher Secondary · Biology Science
June 1, 2020 – March 1, 2022
Techolas Technologies
Data Scientist Intern
June 1, 2025 – Present
Cochin, Kerala, India
Skin Lesion Classifier - AI-Powered Melanoma Detection
June 1, 2025 – June 1, 2026
• Trained an EfficientNet-B3 model on 33,126 dermoscopy images achieving 90.8% validation accuracy and AUC of 0.87. • Applied augmentation and handled class imbalance before deploying an interactive Streamlit application on Hugging Face Spaces.
Road Accident Analysis in India - Power BI Dashboard
June 1, 2025 – June 1, 2026
• Analysed 3,000 road accident records to identify casualty patterns, accident severity, and key risk factors. • Developed an interactive Power BI dashboard using DAX measures, KPI cards, and slicers to support road safety insights.
Customer Churn Predictor - Telecom Churn Detection
June 1, 2025 – June 1, 2026
• Built an XGBoost classifier on 7,043 telecom customer records achieving 79.84% accuracy and AUC-ROC of 0.84. • Performed EDA and deployed an an interactive application for real-time churn prediction and risk classification.
Customer Complaints Analysis - Tableau Dashboard
June 1, 2025 – June 1, 2026
• Analysed 72,431 customer complaints to identify product-wise, state-wise, and yearly complaint trends. • Developed an interactive Tableau dashboard using parameters and calculated fields for dynamic business insights.
Cultural Fit Analysis
The candidate's project diversity, ranging from medical image classification to customer churn prediction and business intelligence dashboards, indicates a broad interest in applying data science across various domains. This adaptability and willingness to explore different problem spaces suggest a good cultural fit for dynamic and innovative teams. The current internship also aligns well with the target role, showing a commitment to the field.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Problem Solving, Communication, Team Collaboration, Attention to Detail, and Presentation Skills. These are relevant for a Data Science role, indicating an awareness of necessary interpersonal and operational skills. However, without specific examples or assessment data, the depth of these skills cannot be fully validated.