Mohammad Tausif Ahmad

About Mohammad Tausif Ahmad

D A T A S C I E N C E Coding isn’t just about writing programs, it’s about building possibilities. Feel free to tweak it to match your style! I am a Data Science Engineer with a Master’s in Artificial Intelligence, specializing in building end-to-end data and AI solutions that convert complex, real-world data into actionable insights and reliable products. My work sits at the intersection of machine learning, generative AI, and data engineering, with a strong focus on solutions that are accurate, scalable, and maintainable.Through advanced training in Data Science, Machine Learning, and Generative AI, I’ve strengthened my ability to deliver projects from problem definition to deployment—covering data preparation, feature engineering, model development and validation, and production-oriented pipeline design. I prioritize clean code, reproducibility, and performance to ensure solutions are practical to operate in real environments.I also enjoy creating user-friendly interfaces for AI systems. Using Python as my core toolset, I have built lightweight web applications with Flask and HTML5 to make models accessible to stakeholders. In addition, I leverage Microsoft Power Platform to support automation and workflow improvements, helping teams operationalize insights efficiently.I am motivated by measurable impact—reducing manual effort through automation, improving forecasting and decision-making with predictive models, and applying GenAI responsibly to enhance productivity and user experience. I’m especially energized by bridging technical depth with business context to deliver solutions that people adopt and trust.I’m open to roles and collaborations in Data Science, Machine Learning, Generative AI, and Data Engineering. Feel free to connect to discuss how I can contribute.

Experience

1. Data Scientist

   Internship Studio

   Dec 2025 — Present · IN

   Technical Skills:1. Data Analysis & Visualization· Cleaning and preprocessing datasets using Pandas & NumPy· Creating interactive dashboards and reports with Matplotlib, Seaborn, or Plotly· Translating raw data into actionable business insights2. Machine Learning Fundamentals· Understanding and implementing supervised & unsupervised learning models (Linear/Logistic Regression, Decision Trees, Clustering, etc.)· Model evaluation using metrics like accuracy, precision, recall, and F1-score· Feature engineering and selection techniques3. Programming & Tools· Advanced Python for data manipulation and modeling· Working with SQL for data querying and extraction· Possibly exposure to R, Jupyter Notebooks, or cloud platforms like Google Colab4. Statistical Analysis· Hypothesis testing, A/B testing, and confidence intervals· Probability distributions and statistical inference5. Real-World Project Experience· End-to-end data science project lifecycle: from problem definition to deployment· Collaboration using Git & GitHub for version control- Professional & Soft Skills:· Problem-Solving & Critical Thinking – Tackling real business challenges with data· Communication Skills – Presenting insights to non-technical stakeholders· Team Collaboration – Working in cross-functional teams· Time & Project Management – Meeting deadlines and managing tasks in a 6-month timeline

Education

• Jharkhand University of Technology (JUT), Ranchi

  Bachelor of Technology - Data Science , Computer Engineering

• Central Board of Secondary Education (CBSE)

  Matriculation

• Jharkhand Academic Council (JAC)

  Intermediate , Science