BIKASH PRADHAN

Bangalore, India

With 2+ years of experience in data science, I have contributed to AI/ML-driven solutions in drug discovery specializing in pharmacovigilance and drug safety management. I applied advanced AI/ML techniques to improve the accuracy of clinical data analysis, regulatory submissions, and predictive models for patient monitoring. Additionally, I ensured data integrity, compliance with regulatory standards, and enhanced efficiency.

TECHNICAL SKILLS

• Python
• R studio
• Linux
• SQL
• Bioinformatics
• Data visualization
• Drug discovery
• Machine learning
• Regulatory Compliance
• Pharmacovigilance
• Medical Writing
• Risk Management

WORK EXPERIENCE

S2M Life Science Pvt ltd

AI/ML Applications in Drug Discovery, Medical Devices, and Life Sciences May 2019 – August 2022

• Utilized AI/ML technologies for drug discovery, including target identification, lead optimization, and virtual screening, enhancing efficiency and accuracy.
• Designed AI-enabled medical devices for non-invasive disease detection, such as early cancer screening.
• Developed predictive models to analyze clinical datasets, improving diagnostic precision and supporting post-marketing surveillance.
• Ensured data integrity and compliance with regulatory standards through robust quality control measures.
• Contributed to AI-driven solution development in pharmaceuticals, from conceptualization to market entry strategies.
• Collaborated with cross-functional teams to integrate scientific innovations with AI/ML technologies, accelerating product lifecycle development.

PROJECTS

Pharmacovigilance Support for Regulatory Compliance and Drug Safety Jan 2023 – Mar 2023

• Handled the preparation and submission of Periodic Adverse Drug Experience Reports (PADER), ensuring regulatory compliance and accurate safety profiling.
• Managed adverse event reporting during clinical trials, ensuring strict adherence to Good Pharmacovigilance Practices (GVP) and regulatory guidelines.
• Led the assessment and evaluation of adverse drug reactions (ADRs), ensuring prioritization of critical safety issues and timely reporting. Conducted signal management activities, including detection, validation, and assessment, to address emerging safety concerns effectively.

Breast Cancer Prediction Classifier Nov 2023 – Dec 2023

• Developed a predictive model for breast cancer classification using Python.
• Preprocessed data with Pandas and NumPy and performed data visualization using Matplotlib and Seaborn.
• Scaled features with Standard Scaler to improve model accuracy.
• Implemented a Logistic Regression model and optimized it using train-test splitting techniques.
• Evaluated the model’s performance with accuracy and classification report.

CERTIFICATES

• IT Expert Roundtable: Using Naïve Bayes and Machine Learning Server to Improve Data Quality Microsoft Virtual academy.
• Python for Genomic Data Science Specialization by Coursera

EDUCATION

Sambalpur University Institute of Information Technology Aug 2015 – July 2017

Master of Science in Bioinformatics (Dept of Biotech & Bioinfo)

Sambalpur University Aug. 2012 – July 2015

Bachelor of Science in Biological Science (Zoology)

INTERESTS

• Playing Cricket, Tennis, Football
• Writing Tech Blogs
• Traveling
• Movies
• Reading Book

*Keywords:* Python, R studio, Linux, SQL, Bioinformatics, Data visualization, Drug discovery, Machine learning, Regulatory Compliance, Pharmacovigilance, Medical Writing, Risk Management

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Cover Letter:

[BIKASH PRADHAN]
[[hidden], DIST. SAMBALPUR, VIA. REMED, [hidden]]
Subject: Application for Junior Genome Analyst Position
Dear Hiring Manager,
I am excited to apply for the Junior Genome Analyst position at MedGenome. With a postgraduate degree in Biotechnology and over two years of experience in data science, bioinformatics, and next-generation sequencing (NGS) data analysis, I am eager to contribute my expertise to your team.
During my tenure at S2M Life Science Pvt Ltd, I worked on AI/ML applications in drug discovery and medical device development. I designed and optimized computational pipelines for whole-genome sequencing (WGS) and RNA sequencing (RNA-seq) data, ensuring high-quality analysis through rigorous quality control measures. My proficiency in Python and Linux has enabled me to implement efficient data processing solutions for large-scale genomic datasets. 
MedGenome’s commitment to advancing genomics-driven precision medicine aligns with my passion for bioinformatics and computational biology. I am eager to apply my analytical skills and domain knowledge to support cutting-edge genomic research and contribute to the company’s mission. My strong problem-solving abilities, coupled with experience in database management and AI-driven approaches, position me well for this role.
I welcome the opportunity to discuss how my skills and experience can benefit MedGenome. Thank you for your time and consideration. I look forward to your response.
Best regards,
[Bikash Pradhan]