Sagarika B.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Machine Learning / Bioinformatics (Sea DNA pattern prediction)

Personal finance analytics (expense tracking)

Voice assistant (speech recognition and response)

Top Data Types

Text

Audio

Top Task Types

Classification

Transcription

Freelancer Overview

Sea DNA Prediction App (Machine Learning). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Secondary School, State Board and Higher Secondary School Certificate, Higher Secondary School. AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Voice-Based AI Assistant

Don't discloseAudioTranscription

Created a voice-based AI assistant capable of answering questions and launching applications based on user voice input. Used speech recognition with Python to convert spoken commands into text for downstream processing. Applied basic AI logic to interpret queries and return appropriate responses. • Transcribed spoken voice commands using speech recognition • Processed commands with Python • Applied simple AI logic for query understanding • Improved performance through testing and debugging

2024 - Present

AI-Based Expense Tracker

OtherTextClassification

Developed an AI-based expense tracker to track and analyze daily expenses. Implemented data handling routines and created basic visual reports to summarize spending patterns. This required organizing input expense records and verifying that the processed outputs matched the intended analytics views. • Structured and handled daily expense data • Applied basic analytics to support pattern reporting • Generated visual reports for spending trends • Tested application behavior during development

2024 - Present

Sea DNA Prediction App (Machine Learning)

Don't disclose

Performed machine learning workflow work including data preprocessing, training, and testing for a model to predict Sea DNA patterns from given data. This involved preparing datasets for model ingestion and evaluating outputs during the iterative development cycle. Work focused on transforming raw inputs into features suitable for prediction tasks. • Preprocessed data for training and testing • Trained and evaluated a predictive model • Iterated on experiments to improve results • Built an end-to-end ML prediction pipeline

2024 - Present

Education

Work History