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.
B.Tech. in Mechanical Engineering
Jawaharlal Nehru Technological University Hyderabad | Mahabubnagar, Telangana
GPA: 75.58/100 | Graduation: May 2019
- 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
- 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
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.
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.
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.
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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.
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Predicted stock trends with 85% accuracy, demonstrating potential for informed investment decisions.
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Innovated by combining multiple forecasting models to enhance prediction robustness.
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Built a predictive model for bankruptcy prevention, reducing false positives by 18% and improving overall accuracy by 22%.
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Demonstrated business value by identifying at-risk firms earlier, allowing for timely intervention.
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Introduced an ensemble approach combining various models, resulting in a more accurate and generalizable solution.
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Conducted sentiment analysis on Amazon reviews, increasing classification accuracy by 20% through extensive feature engineering and model tuning.
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Enabled companies to better understand customer sentiment, leading to targeted marketing strategies.
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Automated data scraping for real-time analysis, enhancing model responsiveness.
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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%.
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Improved accuracy of energy forecasts, leading to better grid management and reduced energy waste.
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Applied advanced feature engineering techniques, improving model performance and providing deeper insights into the key drivers of solar power generation.
- 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
IDE & Tools: Jupyter Notebook, Colab Notebook, VSCode, PyCharm
Collaboration Tools: Slack, Zoom, Microsoft Teams
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.
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.
- Urdu (Native)
- English
- Hindi
- Telugu