Mokshit Reddy
@mokshitreddy
Final-year B.Tech data science student with production ML experience and skilled in data analytics.
What I'm looking for
I’m a final-year B.Tech Data Science student focused on building production-ready machine learning. I built a Speech Emotion Recognition system that reached 89% accuracy by fine-tuning Microsoft WavLM and deployed it live on Hugging Face.
In my AI internship at VISWAM.AI, I cleaned, annotated, and structured 10,000+ Telugu text samples for LLM training using Python NLP pipelines. I also automated an end-to-end data preparation workflow with pandas, regex, and spaCy, cutting manual processing time by 60% while standardizing outputs.
I pair ML development with business-focused analytics—building Power BI dashboards (DAX), using BigQuery for structured data, and writing SQL for actionable insights. With IBM, Google Cloud, and NVIDIA certifications, I enjoy turning messy real-world data into reliable models, dashboards, and decisions.
Experience
Work history, roles, and key accomplishments
Artificial Intelligence Intern
Viswam.AI
May 2025 - Jun 2025 (1 month)
Cleaned, annotated, and structured 10,000+ Telugu text samples for LLM training by building Python NLP pipelines, improving dataset consistency. Automated end-to-end data preparation with pandas/regex/spaCy, cutting manual processing time by 60% and standardizing the corpus output format.
Education
Degrees, certifications, and relevant coursework
Vignan’s Institute of Information Technology
B.Tech in Computer Science Engineering, Computer Science Engineering – Data Science
2022 -
Grade: CGPA: 8.1
B.Tech in Computer Science Engineering with a Data Science specialization. Achieved a CGPA of 8.1 and completed coursework aligned to data science and ML.
Sri Chaitanya Junior College
Senior Secondary Education (Grade 12), Senior Secondary Education
2020 - 2022
Grade: CGPA: 9.3
Completed Senior Secondary Education (Grade 12) with a CGPA of 9.3.
Sri Chaitanya EM School
Secondary Education (Grade 10), Secondary Education
2019 - 2020
Grade: CGPA: 9.8
Completed Secondary Education (Grade 10) with a CGPA of 9.8.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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