Ratnapriya
Ahmedabad, Gujarat, India
Experience: 5 years
Open to: Full-Time, Part-Time
Education: Masters
Availability: Immediate
Skills: AWS, Git, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, Notion, NumPy, pandas, PostgreSQL, PySpark, Python, Python3, PyTorch, scikit-learn, Snowflake, TensorFlow
Previously worked at: Startups
Assessment Score: 55
- Professional Experience
Data Scientist with over 5 years of experience in machine learning, natural language processing (NLP), and data analysis. Currently working as an ML/NLP Scientist at Kathmandu University (2023–Present), where the focus is on semi-assisted context classification for Vedic texts and leading a team for the digitization of ancient manuscripts. Previous roles include Data Scientist at SquadStack (2022–2023), where significant contributions were made in creating automation tools for fraud detection, text summarization, and audio-based emotion recognition. - Technical Expertise
Skilled in a wide array of data science tools and techniques, including Large Language Models (LLMs), machine learning algorithms (Supervised and Unsupervised), predictive analysis, sentiment and emotion detection, and deep learning. Proficient in Python, SQL, PostgreSQL, MySQL, AWS, and data visualization tools like Metabase, Google Sheets, and Jupyter Notebooks. - Key Projects and Achievements
Led various high-impact projects such as the creation of dashboards for tracking leading metrics, developing dynamic sampling scripts for sales audits, and improving model accuracy by over 15%. Worked on developing solutions for fraud detection, call transcript analysis, and sentiment analysis using text and audio data, achieving high accuracy in multiple parameters. - Leadership and Mentorship
Strong leadership skills demonstrated by leading a team at Kathmandu University and coordinating with MLOps and ML architecture experts. Provided mentorship to junior business analysts at SquadStack, reviewing Python and SQL work while contributing to strategic decisions and product developments through data insights. - Business and Domain Expertise
Extensive experience in supporting business teams across multiple domains, including EdTech, logistics, and real estate. Led data-driven insights generation and reporting, with a strong focus on providing actionable recommendations to improve customer success, sales, and product performance. - Educational Background
Holds a Master of Science in Big Data Analytics from St. Xavier’s College, Ahmedabad, and a Bachelor of Science in Statistics from the same institution. The educational foundation is complemented by hands-on experience in statistical analysis, hypothesis testing, and data visualization techniques.