Data Science with less than a year in data analysis and predictive modeling, skilled in Python, SQL,
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Assessing your cultural and operational fit
Data Science Intern with hands-on experience in data analysis and predictive modeling. Skilled in Python, SQL and machine learning, with a proven ability to optimize business strategies and support data-driven decision-making. Experienced in deploying models and creating visualizations that enhance clarity and improve forecasting accuracy.
Sri Balaji Vidhya Parishad Degree College
BSc · Statistics & Computer Science
January 1, 2021 – January 1, 2024
SocialTek
Data Science Intern
November 1, 2024 – May 1, 2025
Hyderābād, Telangana, India
Butterfly Classification
June 1, 2024 – May 1, 2025
Built and deployed a convolutional neural network (CNN) to classify butterfly species. Trained the model on 75 unique butterfly classes and achieved high classification accuracy. Successfully implemented the model for automated image-based species recognition.
Car Insurance Claim
June 1, 2024 – May 1, 2025
Developed a predictive model for car insurance claims using machine learning techniques. Analyzed insurance data based on customer details and historical claim information. Trained multiple classification models and deployed the best-performing model for real-time predictions.
Ads Conversion Rates
June 1, 2024 – May 1, 2025
Analyzed advertisement conversion data to identify key trends and insights. Conducted in-depth data analysis on conversion patterns. Designed and developed an Excel dashboard to effectively visualize conversion rates.
Course Completion Certificate in Data Science
SocialTek
May 1, 2025 – Present
Internship Certificate in Data Science
SocialTek
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of interest within data science, covering traditional machine learning, deep learning, and data analysis/visualization. The internship at SocialTek aligns with a practical application of data science skills. The combination of academic background (Statistics & Computer Science) and practical projects suggests a proactive learning approach. The target role of 'Data Science' aligns well with the candidate's stated skills and project experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse data science problems, from ad conversion analysis to image classification. The internship experience suggests collaboration within a team. However, without specific psychometric or English test scores, a detailed assessment of soft skills and operational fit is limited.