Machine Learning Data Science

SUMAN SUHAG

Jhajjar, Haryana, India +91-895******* ***************@*****.*** LinkedIn GitHub SUMMARY:

Results-driven Data Science professional with hands-on experience in data analysis, statistical modeling, and machine learning. Proficient in Python, SQL, and data visualization tools to deliver actionable insights that drive business decisions. Adept at solving complex problems through critical thinking and analytical approaches, with a proven track record of improving key performance metrics. KEY SKILLS:

Technical Skills:

Programming: Python, SQL, R, C++, CUDA

Data Science & Machine Learning: Statistical Analysis, Predictive Modeling, Feature Engineering, NLP, Deep Learning - Data Visualization: Tableau, Matplotlib, Seaborn, Power BI. Business Acumen: Data-Driven Decision Making, Strategic Planning, Critical Thinking, Problem Solving. EDUCATION:

B.Tech in Electronics and Communication Engineering: Dev Bhoomi Group of Institutions, Dehradun, Uttarakhand, India (Nov 2021 - Jun 2025) - CGPA: 7.68/10. Relevant Coursework: Machine Learning, Data Structures, Algorithms, Statistical Analysis, Computer Networks. Senior Secondary Education (12th): Government Senior Secondary School, Jhajjar, Haryana, India (May 2019 - Jun 2021) - Percentage: 87.68% - Stream: Science (Physics, Chemistry, Mathematics, Computer Science) Secondary Education (10th): Hindu High School, Jhajjar, Haryana, India (Jun 2019) - Percentage: 80.2% EXPERIENCE:

Data Analytics Intern: Commonwealth Bank of Australia (Jun 2024 - Jul 2024) Analyzed complex datasets using Python and SQL.

Designed and implemented interactive dashboards with Tableau. Improved data reporting efficiency by 30%.

Enabled stakeholders to make informed, data-driven decisions. Data Science Intern: Inno-Byte Services (Oct 2024 - Nov 2024) Processed and analyzed large unstructured datasets to identify trends. Developed and optimized machine learning models using scikit-learn. Created detailed reports and visualizations to showcase key findings. Boosted campaign performance by 25% through predictive insights. Data Science Intern: Dyizan Rynox Pvt Ltd (Nov 2024) Engineered features and built machine-learning models for research data. Conducted qualitative and quantitative analysis for business solutions. Collaborated with cross-functional teams to enhance project outcomes. Achieved a 20% increase in model prediction accuracy. PROJECT:

Shiny App Deployment (Jun 2024 - Aug 2024) - Developed an interactive Shiny application for data storytelling, managing team collaboration, and showcasing business trends.

Image Classification for MNIST Dataset (Mar 2024 - Apr 2024) - Built convolutional neural networks using TensorFlow to classify handwritten digits with 98% accuracy.

Predictive Task Analyzer - Collected and analyzed large datasets to optimize task management. - Built predictive models using

Python, scikit-learn, and advanced statistical techniques, improving task completion rates by 25%. CERTIFICATIONS:

Machine Learning, Harvard University (edX)