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T

Tejas S.

Audio transcription and segmentation

India flagPune, India

Key Skills

Software

AppenAppen
ClickworkerClickworker

Top Subject Matter

Customer support message annotation for AI training
Customer churn analytics (not explicitly data labeling)
Audio transcription and segmentation

Top Data Types

TextText
AudioAudio

Top Task Types

ClassificationClassification
Text SummarizationText Summarization
Data CollectionData Collection
TranscriptionTranscription
Question AnsweringQuestion Answering
SegmentationSegmentation

Freelancer Overview

Data Labelling Job Simulation (Forage Academy). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Forage, N, and A. Education includes Bachelor of Engineering, Savitribai Phule Pune University (2023). AI-training focus includes data types such as Text, N, and A and labeling workflows including Classification, N, and A.

Labeling Experience

Audio transcription and segmentation

AudioAudioTranscriptionTranscription

The project was given on crowdgen in this project the voice recordings were given I had to listen audio carefully and make transcriptions of that specific language and then check for any distortions in sound. Then also label the speakers in transcription. Afterwards I had to segment the given audio and also specify the which language is being spoken and in which accent.

2026 - 2026

Data Labelling Job Simulation (Forage Academy)

TextTextClassificationClassification

Completed a data labeling job simulation as a Data Labelling Analyst for a hypothetical AI company, reviewing real customer support messages. Labeled message attributes including Intent, Sentiment, and whether text contained PII (personally identifiable information) using a consistent labeling schema. Performed quality checks by reviewing other analysts’ outputs, identifying inconsistencies, and proposing a guideline improvement to the team. • Classified customer support messages for Intent, Sentiment, and PII presence • Followed a consistent labeling schema across samples • Audited peer labeling results to catch inconsistencies • Suggested improvements to labeling guidelines

2026 - 2026

Data Analytics Intern, Codec Technologies

No data labeling or AI training/annotation duties were explicitly described in this role. The internship focused on customer churn analysis and analytics tasks rather than labeling datasets for model training. As a result, labeling-specific fields cannot be accurately derived from the provided resume text. • Cleaned and analyzed datasets to identify customer behavior patterns • Built dashboards and visual reports using Excel • Used SQL to support churn analysis • Shared insights for sales planning and customer targeting

2025 - 2026

Education

S

Savitribai Phule Pune University

Bachelor of Engineering, Computer Engineering

Bachelor of Engineering
2023

Work History

C

Codec Technologies

Data Analytics Intern

Pune
2025 - 2026