Pavani Annambhotla
Computational Biologist
Hyderabad
Summary
Professional researcher with comprehensive experience in machine learning and data analysis. Skilled in developing and deploying algorithms, optimizing models, and leveraging large datasets to drive insights. Strong focus on team collaboration, adaptability, and delivering impactful results. Proficiencies include Python, TensorFlow, and advanced statistical methods. Recognized for analytical thinking, innovation, and reliability in dynamic environments.
Overview
1
1
year of professional experience
Work History
Machine Learning Researcher
Codveda Technologies
08.2025 - Current
- Developed innovative solutions for complex data problems, resulting in significant improvements to model accuracy and efficiency.
- Collaborated with cross-functional teams to develop cutting-edge machine learning applications for various industries.
- Evaluated and compared various machine learning frameworks, making informed recommendations on the most suitable tools for specific projects.
- Designed custom machine learning models tailored to specific business needs, resulting in improved decision-making processes.
Research Fellow – NGS & AI-driven Bioinformatics
Biotecnika Info Labs
01.2025 - Current
- Conducting research in genomics to explore gene regulation, variation, and function in disease contexts.
- Applying bioinformatics tools and pipelines for data analysis and biological interpretation.
- Implementing AI/ML techniques in synthetic biology to design and optimize genetic circuits and biological systems.
- Engaged in drug discovery research, including target identification, virtual screening, and molecular docking.
- Performing next-generation sequencing (NGS) data analysis for variant calling, transcriptomics, and multi-omics integration.
- Investigating cancer biology through biomarker discovery and pathway analysis.
- Utilizing computational biology approaches for modeling biological networks and systems-level insights.
- Advancing knowledge in precision medicine by analyzing patient-specific genomic and transcriptomic data.
- Maintained accurate records of experimental procedures, observations, and findings for transparent reporting of results in publications.
- Facilitated strong communication among team members through regular meetings, progress reports, and open channels of dialogue.
Data Scientist Intern
Innomatics Research Labs
12.2024 - Current
- Gained hands-on experience across the entire Data Science Lifecycle — from data collection, preprocessing, and exploratory data analysis (EDA) to model building and deployment.
- Conducted statistical analysis (t-tests, ANOVA, chi-square, etc.) and applied probability distributions to extract insights from structured and unstructured datasets.
- Built and evaluated supervised machine learning models including Linear/Logistic Regression, Decision Trees, Random Forest, SVM, Naive Bayes, and KNN using scikit-learn.
- Implemented unsupervised learning techniques such as PCA, K-Means, Hierarchical Clustering, and Association Rule Mining for segmentation and market basket analysis.
- Applied Natural Language Processing (NLP) using NLTK, SpaCy, and TextBlob for sentiment analysis, text mining, and TF-IDF-based feature extraction.
- Developed Deep learning models using TensorFlow and Keras, including ANN and CNN for classification and image processing tasks like facial recognition.
- Utilized tools like Power BI, Pandas, NumPy, Matplotlib, Seaborn, and Plotly for in-depth EDA and visual storytelling.
- Managed real-world capstone projects in domains like healthcare, finance, and retail, applying domain-specific ML/NLP/CV techniques.
- Experienced in model tuning, evaluation (AUC-ROC, precision-recall, confusion matrix) and interpreting model results for business impact.
- Performed data mining, web scraping, and regular expression-based parsing to transform raw web/text data into structured formats for analysis.
- Modeled predictions with feature selection algorithms.
- Improved data quality and accuracy by implementing rigorous validation processes during preprocessing stages.
- Presented findings through clear visualizations and reports, facilitating effective communication with non-technical team members.
- Evaluated model performance using appropriate metrics such as precision, recall, F1-score, and ROC-AUC curve analysis.
Research Fellow – Bioinformatics
Omics Logic Inc
01.2025 - 05.2025
- Designed and executed RNA-Seq pipelines, multi-omics data integration, and biomarker classification.
- Used tools like Orange, WEKA, Keras, and ggplot2 for classification and visualization tasks.
- Worked with public datasets for practical coding, feature extraction, and biological insights.
- Conducted small RNA, Gene expression analysis, and exome data analysis using STAR, DESeq2, and DAVID.
- Conducted comprehensive literature reviews to identify knowledge gaps and inform future studies.
- Enhanced research quality by implementing rigorous methodologies and data analysis techniques.
Quality Assurance Executive – Drug Protocols & Clinical Data Management
Adept Pharma & Bioscience Excellence PVT LTD
04.2024 - 11.2024
- Managed Quality Management System (QMS), ensuring compliance with regulatory standards and industry’s best practices.
- Oversaw issuance, documentation, and periodic review of Standard Operating Procedures (SOPs) for drug validation and method analysis.
- Led regulatory audits conducted by CDSCO and DCA, ensuring adherence to ICH guidelines and ISO 9001 quality systems.
- Implemented process optimization strategies to enhance compliance, risk management, and continuous quality improvement.
Education
Master of Science - Biochemistry
University Of Madras
Chennai, Tamil Nadu04-2020
Bachelor of Science - Microbiology, Biochemistry, Food Science & Technology
Krishna University
Vijayawada, Andhra Pradesh01.2018
Skills
- NGS & RNA-Seq: Pipeline design, data cleaning, and downstream analysis
- Biotechnology : DNA-Barcoding & Analysis, CRISPR
- Molecular Biology : PCR,Electrophoresis,DNA-Extraction,Protein-Assays
- Clinical Genomics Research Tools & Platforms : HISAT2, STAR, DESeq2, iLINCS,Galaxy,BLAST,GSEA,MEGA,Clustalx2,ChromasLite
- Visualization: ggplot2, Plotly, Power BI
- Programming: Python, R, SQL,Linux
- Domain Knowledge: Genomics, Transcriptomics, Molecular Docking, CRISPR, AI & ML in Bioinformatics
- Machine Learning: WEKA, Sci-Kit Learn, TensorFlow, Keras, Orange,Open CV, Mediapipe,Predictive analytics,Data wrangling,Statistical modeling,Machine learning frameworks,Algorithm development
Publications
- Hs-CRP and Hematological Profiles in PCOS Cohorts https://doi.org/10.33745/ijzi.2024.v10iSpl1.011
- Biochemical Parameters in PCOS https://doi.org/10.33745/ijzi.2022.v08i0S1.001
Timeline
Machine Learning Researcher
Codveda Technologies
08.2025 - Current
Research Fellow – NGS & AI-driven Bioinformatics
Biotecnika Info Labs
01.2025 - Current
Research Fellow – Bioinformatics
Omics Logic Inc
01.2025 - 05.2025
Data Scientist Intern
Innomatics Research Labs
12.2024 - Current
Quality Assurance Executive – Drug Protocols & Clinical Data Management
Adept Pharma & Bioscience Excellence PVT LTD
04.2024 - 11.2024
Bachelor of Science - Microbiology, Biochemistry, Food Science & Technology
Krishna University
Master of Science - Biochemistry
University Of Madras
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