M A Rahman

Aspiring data scientist with a strong foundation in statistical analysis, machine learning, and data visualization. Proficient in Python and SQL, with hands-on experience in developing predictive models, conducting EDA, and deploying machine learning solutions. I possess strong problem-solving abilities and a passion for continuous learning and professional growth.

Education

B.Tech. in Mechanical Engineering

Jawaharlal Nehru Technological University Hyderabad

Mahabubnagar, Telangana

GPA: 75.58/100

Graduation: May 2019

Relevant Courses:

• Data Structures and Algorithms
• Machine Learning & Artificial Intelligence
• Advanced Programming
• Big Data & Distributed Systems
• Statistics & Probability
• Software/Web Development
• Image Processing & Pattern Recognition
• Operating Systems & Networks

Skills:

• Programming Languages: Python, R, SQL
• Packages: Scikit-learn, TensorFlow, Keras, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Tableau
• Databases: PostgreSQL, MySQL, ETL
• Frameworks: Streamlit, Flask, RESTful API
• DevOps: Git, GitHub, Azure

Industry Experience

Data Science Intern | Ai Variant | Hyderabad, India

Feb 2024 - Present

Advanced Data Science Applications: Leading the development of innovative data science solutions, focusing on real-time predictive modeling and advanced machine learning algorithms.

Cross-functional Collaboration: Collaborating with data engineers and business stakeholders to deploy models into production, optimizing business processes and driving data-driven decision-making.

Model Optimization: Implementing hyperparameter tuning and model evaluation techniques, leading to a 15% improvement in model accuracy across various projects.

Scalable Solutions: Contributing to the design and deployment of scalable machine learning pipelines using cloud platforms, ensuring robust and efficient data processing.

Data Science Intern | ExcleR Solutions | Hyderabad, India

Feb 2023 - Dec 2023

Comprehensive Training: Completed an extensive program in statistical analysis, machine learning, deep learning, data visualization, and big data technologies.

Capstone Projects: Developed and presented multiple projects, including predictive modeling, time series analysis, and natural language processing applications.

Practical Experience: Gained hands-on experience in data preprocessing, feature engineering, model building, and performance evaluation, leading to successful completion of data-driven projects with measurable business impact.

High Distinction: Graduated with high distinction, recognized for consistently delivering high-quality work and demonstrating exceptional understanding and application of data science concepts.

Peer Collaboration: Collaborated with peers on group projects, enhancing teamwork and communication skills in a professional setting.

Industry-Relevant Skills: Acquired skills in machine learning algorithms, data wrangling, and data visualization tools, preparing for real-world data science challenges.

Catalog Specialist | Amazon | Hyderabad, India

May 2022 - May 2023

Process Automation: Spearheaded the design and implementation of Excel macros, automating seller support and daily operations. Achieved a 25% increase in process efficiency, significantly reducing manual workload.

Data Management: Leveraged Hubble Query Language and ETL processes to extract, transform, and load data, optimizing data flow and enhancing catalog management accuracy.

Operational Optimization: Played a key role in the Seller Flex and transparency projects by automating routine processes, minimizing manual intervention, and boosting task precision.

Cross-functional Collaboration: Partnered with diverse teams to improve seller support systems, fostering a more streamlined and efficient workflow across departments.

Continuous Improvement: Employed automation tools and data analysis to consistently monitor and enhance cataloging processes, ensuring high standards of data integrity and operational excellence.

Projects

Apple Stock Forecasting

Jan 2024 - Feb 2024

Tools: Python, LSTM, ARIMA, Prophet, Scikit-learn, Plotly

• Developed a time series forecasting model for Apple stock prices, integrating LSTM, ARIMA, and Prophet models, achieving a 15% reduction in RMSE compared to traditional methods.

• Predicted stock trends with 85% accuracy, demonstrating potential for informed investment decisions.

• Innovated by combining multiple forecasting models to enhance prediction robustness.

Bankruptcy Prevention

Mar 2024 - Apr 2024

Tools: Python, Logistic Regression, Random Forest, Gradient Boosting, SVM, Scikit-learn

• Built a predictive model for bankruptcy prevention, reducing false positives by 18% and improving overall accuracy by 22%.

• Demonstrated business value by identifying at-risk firms earlier, allowing for timely intervention.

• Introduced an ensemble approach combining various models, resulting in a more accurate and generalizable solution.

NLP Sentiment & Classification Analysis

May 2024 - Jun 2024

Tools: Python, NLTK, Scikit-learn, Plotly, Selenium, Flask

• Conducted sentiment analysis on Amazon reviews, increasing classification accuracy by 20% through extensive feature engineering and model tuning.

• Enabled companies to better understand customer sentiment, leading to targeted marketing strategies.

• Automated data scraping for real-time analysis, enhancing model responsiveness.

Solar Power Prediction

Jul 2024 - Aug 2024

Tools: Python, Gradient Boosting, XGBoost, Scikit-learn, Streamlit

• Created a predictive model to estimate solar power generation with 88% accuracy, assisting energy companies in optimizing resource allocation and reducing operational costs by 12%.

• Improved accuracy of energy forecasts, leading to better grid management and reduced energy waste.

• Applied advanced feature engineering techniques, improving model performance and providing deeper insights into the key drivers of solar power generation.

Certifications

• Internship Certification - AI Variant Feb 09, 2024 – Present
• Data Science Certification - ExcleR Solutions May 22, 2024
• Masters Program in Data Science - NASSCOM, Government of India Aug 12, 2024
• Machine Learning with Python - IBM Developer Skills Network Jul 24, 2024
• Python 101 for Data Science - IBM Developer Skills Network Jul 25, 2024

Technical Tools

IDE & Tools: Jupyter Notebook, Colab Notebook, VSCode, PyCharm

Collaboration Tools: Slack, Zoom, Microsoft Teams

Additional Experience

Data Structures & Algorithms - C++: Implemented various algorithms to solve complex computational problems during academic projects.

Operating Systems & Networking: Gained foundational knowledge in OS concepts and computer networking, relevant to data science applications.

Interests

Continuous Learning: Staying updated with the latest trends in AI/ML through online courses and workshops.

Open-Source Contribution: Actively contributing to open-source projects in data science.

Langauges:

• Urdu (Native)
• English
• Hindi
• Telugu