Vasudha Jain
Fremont
Overview
8
8
years of professional experience
1
1
Certification
Work History
ASSOCIATE
Cognizant Technology Solutions
Noida
06.2025 - 08.2025
- Developed 8+ Django-based applications, designing RESTful microservices and APIs that improved system efficiency by 25%.
- Automated data visualization processes using Python (Matplotlib, Seaborn), reducing manual graphing time by 15 hours/week.
- Collaborated with cross-functional teams across 10+ projects, achieving 100% on-time delivery through effective stakeholder communication.
PROGRAMMER ANALYST
Cognizant Technology Solutions
Bangalore
02.2022 - 06.2025
- Designed and implemented CI/CD pipelines, enabling 40% faster deployment cycles and 90% system reliability.
- Deployed cloud-based ETL solutions on AWS, reducing data transformation time by 35%.
- Implemented automated SQL data collection processes, improving query performance by 45%.
- Collaborated with cross-functional teams to optimize workflows and participated in client discussions to understand requirements, propose solutions, and resolve issues promptly.
BIOINFORMATICS ANALYST
Biologia Research India
New Delhi
09.2021 - 02.2022
- Optimized bioinformatics pipelines for 10+ projects, increasing analysis speed by 30% and processing 250M+ reads per sample.
- Managed biological databases with 500,000+ entries; performing statistical validation to deliver insights for published studies.
- Created custom research databases and QC protocols, boosting data accuracy by 20% and streamlining onboarding for 5+ team members.
- Led annotation of 10,000+ genes and 100+ biological pathways, expanding lab functional analysis capabilities.
DATA ANALYST
InveniAI Corporation
Gurugram
03.2019 - 07.2020
- Delivered bioinformatics pipelines for 10+ projects, increasing analysis speed by 30% and processing datasets of over 250M reads per sample.
- Managed biological databases with 500,000+ entries; provided data insights that supported 3 published research studies.
- Built custom research databases and implemented QC protocols, improving data accuracy by 20% and reducing onboarding time for 5+ new team members.
- Annotated 10,000+ genes and mapped 100+ biological pathways, advancing lab capabilities for functional analysis and downstream research.
SYSTEM BIOTECHNOLOGIST
CDS Lifesciences
New Delhi
06.2017 - 07.2018
- Developed expertise in analyzing biological data types, including ChIP-seq, RNA-seq, and Microarray data.
- Utilized Bowtie2 and R for accurate and comprehensive analysis, ensuring data quality and meaningful insights.
- Refined proficiency in building and visualizing biological networks, such as gene–disease networks, with Cytoscape.
- Demonstrated ability to visualize and interpret network data to uncover valuable biological relationships and patterns.
Education
Master of Science - Data Science
Northeastern University
Silicon Valley, CA12.2027
Bachelor of Technology - Biotechnology
Amity University
India12.2017
Skills
- Python and R programming
- Data visualization (Matplotlib, Seaborn, Plotly)
- Data manipulation (Pandas, Numpy)
- Machine learning (Scikit-learn)
- Statistical analysis (Regression, Clustering)
- Natural language processing (SpaCy, NLTK)
- ETL pipeline development
- Version control (Git/GitHub)
- Cloud services (AWS: Cloud9, S3, Lambda)
- Web framework (Django)
Projects
Cysterhood: PCOS RAG |Northeastern University (In Progress)
- Building a RAG pipeline to extract and summarize PCOS-related information from medical literature.
- Implementing document ingestion, chunking, embeddings, and vector search to improve retrieval accuracy for PCOS-specific queries.
- Applying keyword and topic extraction techniques to enhance domain relevance and reduce hallucinations.
- Developing an evaluation and validation workflow to ensure accurate, clinically aligned PCOS insights.
Multimodal Emotion Recognition in Healthcare |Northeastern University (In Progress)
- Developing an emotion recognition system for therapy sessions by analyzing 330+ videos using speaker diarization, speech-to-text conversion, and automated annotation pipelines.
- Designing a multimodal machine learning model that integrates textual and audio features to classify and interpret therapeutic communication styles.
- Implementing feature engineering and fusion techniques to improve accuracy and reliability of emotion classification in clinical settings.
- Optimizing the workflow for scalable video processing and real-time emotion analysis to support therapeutic research and interventions.
NeuroGreen: Intelligent Platform for Sustainable AI Development
• Participated in the GreenAI Hackathon, building NeuroGreen—an intelligent platform for tracking and minimizing the carbon, energy, water, and financial costs of AI activities
• Designed features such as real-time telemetry, interactive dashboards, and smart recommendations for sustainableAI choices
• Selected for the Microsoft mentorship program, receiving 10 weeks of expert guidance and Azure compute credits to develop and scale the solution.
Certification
- Generative AI for Business Leaders, Google, 2024
- Fundamentals of GenAI, Microsoft, 2024
Timeline
ASSOCIATE
Cognizant Technology Solutions
06.2025 - 08.2025
PROGRAMMER ANALYST
Cognizant Technology Solutions
02.2022 - 06.2025
BIOINFORMATICS ANALYST
Biologia Research India
09.2021 - 02.2022
DATA ANALYST
InveniAI Corporation
03.2019 - 07.2020
SYSTEM BIOTECHNOLOGIST
CDS Lifesciences
06.2017 - 07.2018
Master of Science - Data Science
Northeastern University
Bachelor of Technology - Biotechnology
Amity University