Results-oriented achiever with proven ability to exceed targets and drive success in fast-paced environments. Combines strategic thinking with hands-on experience to deliver impactful solutions and enhance organizational performance.
Overview
4
4
years of professional experience
Work History
Data Science Associate – API Production
Biocon Limited
India
10.2020 - 05.2023
Increased overall production efficiency by analyzing process and equipment downtime data, reducing unplanned stoppages by 10% and improving plant throughput.
Designed and deployed automated dashboards in Power BI and Excel to track yield, batch output, and quality KPIs, reducing manual reporting time by 35% and improving visibility for leadership.
Performed root cause analysis of production deviations using statistical methods, improving batch reliability and reducing quality-related rework by 15%.
Collaborated with cross-functional teams across QA, engineering, and operations to streamline workflows, optimize raw material usage, and enhance compliance with GMP standards.
Built a data-driven cost monitoring framework to analyze material utilization and process inefficiencies, enabling cost savings through optimized production planning.
Developed a sentiment analysis application using BERT transformers to classify pharmaceutical-related tweets as positive or negative, trained on 2,500 tweets scraped via the Twitter API, achieving an F1 score of 0.82.
Enhanced preprocessing pipelines by applying stemming, lemmatization, and stopword removal, improving training efficiency by 30% and ensuring higher-quality input data for NLP analysis.
Data Science Intern – API Production
Biocon Limited
India
09.2019 - 03.2020
Supported documentation and quality assurance processes to ensure compliance with pharmaceutical manufacturing and regulatory standards. Monitored production batches and prepared shift-level performance reports, assisting supervisors in analyzing productivity and quality trends.
Gained hands-on experience in GMP standards, equipment operations, and data collection methods, laying a foundation in pharmaceutical analytics.
Education
Masters of Science - Business Analytics (Statistics)