About Me
Iām Mohamed Jamaludeen, an M.Sc. Bioinformatics graduate with a strong interest in the healthcare and pharmaceutical domains. I have worked on academic projects involving clinical data, research datasets, and data management, and I enjoy transforming complex information into meaningful insights that support decision-making. My skill set includes SQL, Python, Power BI, and bioinformatics tools, which I aim to apply in healthcare analytics, clinical data coordination, and pharmaceutical research.
Hands-on with Bioinformatics tools
Strong knowledge of Life Sciences and clinical data, supported by technical skills in Tableau, Power BI, SQL, Excel, and Python.
Dedicated to making sense of healthcare data
š View My Resume
Completed Projects
Academic and self-driven projects in bioinformatics and healthcare data dashboards.
Certifications
Certified in Python, Tableau, Power BI, SQL, Clinical Trials and more ā always upskilling.
Skills & Experience
I specialize in Data Analytics, Clinical Data Management (CDM), Pharmacovigilance / Drug Safety, Bioinformatics / Computational Biology, Human Anatomy and Physiology, Basic Medical Coding (ICD-10, CPC, HCPCS)
Technical Skills
Power BI & Tableau (Dashboard & Visualization)
85%
SQL (MySQL)
80%
SAS (DATA step, PROC SQL, PROC REPORT, PROC MEANS, PROC TABULATE, PROC SGPLOT)
85%
Python (Pandas, NumPy, Matplotlib, Seaborn)
80%
Excel (Formulas, Pivot Tables, Charts)
95%
Bioinformatics Tools
95%
Clinical Laboratory Training
June 2024 (15 Days)
AASI Multi Speciality Hospital, Ramanathapuram.
Participated in diagnostic data entry, patient record digitization, and lab documentation processes. Ensured accuracy in clinical data collection and reporting. Gained practical exposure to structured data workflows in a hospital environment.
Project: Drug Discovery for COVID-19 Using Molecular Docking
Internship May 2024 - June 2024
BIOXPLORA, Coimbatore.
Analyzed molecular interactions to identify lead candidates for COVID-19 targets.
M.Sc. Bioinformatics
July(2023) ā May(2025)
Alagappa University, Karaikudi
CGPA : 7.05
B.Sc. Microbiology
August(2020) ā May(2023)
Syed Hameedha Arts and Science College, Kilakarai.
Percentage : 78%
My Projects
Click on the project title to view more details.
- All Projects
- Academic
- Internship
- Projects
Project: Network Pharmacological Approach with Molecular Docking & Dynamics to Marine Compounds in Cardiovascular Disease.
Gene-target-pathway mapping and docking simulations to explore therapeutic potential of marine compounds for cardiovascular disease, supporting pharmaceutical research objectives. .
Project: Drug Discovery for COVID-19 Using Molecular Docking
Molecular interactions to identify lead candidates for COVID-19 targets.
Hospital Claims SAS Project (Excel + SAS)
1) Performed data cleaning, validation, and preparation of hospital claims datasets in SAS. 2) Applied statistical procedures to identify claim trends, patterns, and anomalies. 3) Generated reports and visual outputs to support healthcare business decisions.
Healthcare Data Analysis using Python & Power BI
1) Cleaned hospital discharge data using Python (Pandas, NumPy) in Google Colab. 2) Handled missing values, standardized records, and structured the dataset. 3) Built Power BI dashboards with slicers, KPIs, and visual charts for readmission patterns. 4) Tools Used: Python (Colab), Power BI
Clinical Hospital Data Analysis
1) Analyzed hospital performance metrics like mortality, readmission, and safety scores using real-world clinical data. 2) Cleaned data in Excel, transformed using SAS, queried via SQL, and visualized KPIs through interactive Tableau dashboards. 3) Tools Used: SQL, Excel, SAS, Tableau
Certifications
These certifications showcase my skills across data analytics, visualization, clinical research, and AI technologies.
- š Tableau: Data visualization, dashboards, basic analytics.
- š Data Analysis: Excel, SQL, Python ā Cleaning, Visualization, Modeling.
- š Power BI: DAX formulas, Power Query, Dashboard creation.
- š§® SQL: Relational databases, filtering, aggregation techniques.
- š Python Programming: Data structures, scripting, file handling.
- š§¬ Clinical Trials (ICH-GCP E6[R2]): Protocols, Ethics, Safety Reporting.
- š¤ Medical Coding Workshop: Completed a practical training on ICD-10, CPT coding systems, and healthcare claim processing workflows..
- š§¬ Genomics Data Analysis: NGS pipeline using Linux, Viralrecon, RStudio.