Hello!
I'm Mushraf Ahmed
About Me
Get in touch with me
As a passionate data analyst, I specialize in building data pipelines, visual dashboards, and ML models to enable data-driven decision-making. I have hands-on experience across tech stacks including Power BI, SQL, Python, and cloud tools.
Vision
To simplify data complexity and deliver impactful insights that support business innovation and growth.
Mission
To design reliable data workflows and implement ML models that solve real-world challenges with precision, scalability, and clarity.
My Skills
Python & Data Wrangling
Experienced in using Pandas, NumPy, and Matplotlib for data preprocessing, feature engineering, and visualization across analytical pipelines.
SQL & Relational Databases
Skilled in querying, joining, and transforming large datasets using MySQL and MS SQL Server for business intelligence reporting.
Data Visualization Tools
Designed dynamic dashboards in Power BI, Tableau, and Dash to display KPIs, trends, and insights in interactive formats.
Machine Learning Modeling
Implemented models using Scikit-learn, TensorFlow, and NLP libraries for classification, prediction, and sentiment analysis.
API & Automation Tools
Developed REST APIs and automated repetitive tasks using UiPath and Selenium to increase workflow efficiency.
Cloud Platforms & Version Control
Utilized AWS, GitHub, and Azure to manage scalable data solutions with integrated CI/CD and collaborative project management.
Accenture
Associate Software Engineer
September 2021 – November 2022
My Experiences
Let's Work Together
Recent Projects
Geospatial Sentiment Analysis for Renewable Energy
Remote
January 2023 – May 2023
Built an NLP-based sentiment analysis system for global renewable energy trends using Twitter data. Queried and cleaned over 25,000 tweets, applied machine learning classifiers (Logistic, SVM, Naive Bayes), and created an interactive dashboard using Plotly and Dash. Achieved over 91% accuracy and enabled real-time sentiment visualization by location and topic.
Hand Support System for Motor-Impaired Users
Remote
May 2023 – Present
Developed a gesture-recognition system using TensorFlow and OpenCV to assist motor-impaired users with sign language communication. Collected and preprocessed data using MediaPipe and Amazon S3, achieving 89% classification accuracy. Improved preprocessing efficiency and model training consistency with advanced image cleaning techniques and adaptive thresholding.