Mohammed‑Taqi Jalil • Portfolio

Data‑driven Computational Biology graduate specializing in data analysis, machine learning, and visualization. Python, SQL, Tableau.

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About

I’m Mohammed‑Taqi Jalil, a data‑driven Computational Biology graduate based in Austin, TX. I build predictive models, streamline ETL workflows, and craft clear dashboards that turn data into action.

Comfortable across Python, R, SQL, and BI tooling, I enjoy delivering statistically sound insights for healthcare, education, and environmental datasets.

Python 95%

SQL 90%

Tableau 88%

R 85%

Machine Learning 82%

Pandas NumPy Matplotlib Scikit‑learn ggplot2 tidyverse MySQL MS SQL Server Power BI EDA Predictive Modeling Regression ETL A/B & Inference

Mohammed-Taqi Jalil - Data Analyst and Computational Biology graduate

Experience Work Experience

SNH

Data Engineer Intern · SNH AI

June 2025 – Present · Austin, TX

Built Label Studio workflows for streamlined annotation for AI agents.
Standardized heterogeneous XML to a unified golden dataset; validated via XSD.
Aligned data prep with ML training across cross‑functional stakeholders.

Python XML XSD Label Studio

Data Analyst Intern · JSoftUSA

Feb 2024 – Aug 2024 · Austin, TX

Analyzed student data; insights contributed to 15% increase in platform adoption.
Automated ETL with SQL; reduced manual reporting time by 30%.
Developed Tableau dashboards; supported regression analysis for interventions.

SQL Tableau ETL Regression Analysis

Education

The University of Texas at Austin

B.S., Biology (Computational) · May 2024

Coursework: Data Science, Regression Analysis, Biostatistics, Statistical Modeling, Genomics, Data Mining, Mathematical Statistics.

Selected Work Projects

Ambient Air Pollution Prediction

Built models (Random Forest, XGBoost, k‑NN, Lasso) to predict PM2.5 across the U.S.; performed EDA, feature selection, and cross‑validation using RMSE.

Python Pandas Scikit‑learn XGBoost Random Forest

Ambient Air Pollution Prediction

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RNA‑Seq Gene Expression Analysis

Differential expression with DESeq2; normalization, QC, and log fold‑change; visualized results with PCA, volcano plots, and heatmaps.

R DESeq2 Bioconductor ggplot2

RNA‑Seq Analysis

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IntelliVest Investment Analytics Platform

Developed a comprehensive investment analytics platform with real-time market data integration, portfolio optimization algorithms, and interactive dashboards for informed decision-making.

Python Streamlit Pandas yfinance Plotly Machine Learning

IntelliVest Platform

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Contact

Austin, TX 78660 — Open to opportunities and collaborations in data science, analytics, and computational biology.

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