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Data Science with 1+ years in Machine Learning & Data Analysis
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Assessing your cultural and operational fit
Aspiring Data Scientist and Python Developer with practical experience in Machine Learning, Deep Learning, and data analysis. Built ML-powered web applications using Django and developed CNN-based Speech Emotion Recognition models. Completed virtual internships in Data Analysis (Deloitte) and holds a BE in Information Science (CGPA 8.2). Eager to apply analytical skills to real-world data challenges.
Cambridge Institute of Technology
Bachelor of Engineering · Information Science & Engineering
December 1, 2021 – May 1, 2025
Deloitte (via Forage)
Data Analysis Virtual Internship
July 1, 2025 – Present
India
Wipro
Java Full Stack Developer Intern
May 1, 2024 – October 1, 2024
India
Speech Emotion Recognition (CNN-Based)
June 18, 2026 – Present
Designed and trained a CNN model to classify emotional states (happy, sad, angry, neutral) from raw audio data. Applied MFCC (Mel-Frequency Cepstral Coefficients) feature extraction to convert audio signals into model-ready inputs. Performed end-to-end pipeline: data preprocessing, model training, hyperparameter tuning, and performance evaluation. Achieved robust accuracy applicable in sentiment analysis, virtual assistants, and human-computer interaction.
View ProjectDjango-Based Health Risk Evaluation Application
June 18, 2026 – Present
Integrated ML classification models to predict individual health risks based on user-input clinical parameters. Used Pandas and NumPy for data cleaning, feature engineering, and preprocessing before model inference. Built a secure, authenticated REST API backend to serve real-time predictions to a responsive web frontend.
Data Analysis Virtual Internship
Deloitte via Forage
July 1, 2025 – Present
Cyber Security Virtual Internship
Deloitte via Forage
June 1, 2025 – Present
TCS Code Vita Season 12 Participant
TCS
November 1, 2024 – Present
Java Full Stack Development
Wipro × CIT
October 1, 2024 – Present
Cultural Fit Analysis
The candidate shows a strong interest in Data Science and related fields, aligning well with a target role in this area. The academic projects demonstrate initiative and a practical application of learned skills. Participation in virtual internships (Deloitte Data Analysis, Cyber Security) and coding competitions (TCS Code Vita) indicates a proactive, continuous learning mindset and a willingness to explore diverse technical areas. The mix of ML/DL, web development (Django), and data analysis skills suggests adaptability and a broad technical curiosity, which are positive indicators for cultural fit in a dynamic team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work through end-to-end processes (data preprocessing to model evaluation) and integrate different technologies. The virtual internships suggest a proactive approach to learning and applying skills in simulated professional environments. However, the descriptions are concise and do not provide extensive detail on problem-solving or collaboration, limiting the assessment of soft skills.