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Venkata Hemanth Gubbala

Venkata Hemanth Gubbala

Analyst | ML Engineer

Technology / Internet

Hyderabad, Hyderabad

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About Venkata Hemanth Gubbala:

I am Hemanth, an experienced analyst & ML Engineer proficient in Python and Excel, specializing in supervised and unsupervised learning. Skilled in TensorFlow, scikit-learn, and data preprocessing. Strong mathematical foundation for model development and evaluation. Passionate about leveraging data to drive insights and deliver impactful machine learning solutions.

Experience

- Analyzed vessel performance data using Excel and Python, optimizing fuel efficiency, speed, and safety, resulting in a 10% reduction in fuel costs and a $500,000 increase in annual profits.
- Developed a machine learning model to find the optimum distance through navigation, improving route planning and minimizing fuel consumption by 20\%.
- Utilized PMS software to track machine data and predict maintenance intervals, reducing downtime by 20% and saving $200,000 in repair costs.
- Implemented data-driven decision-making processes, enhancing operational efficiency and cost reduction.
- Achieved a $1 million increase in revenue by leveraging data-driven insights and implementing strategic initiatives.

Education

I hold a Master's degree in Data Science from IIIT Bangalore, one of the premier institutes for technical education in India. During my PG program, I gained in-depth knowledge and hands-on experience in various aspects of data science, including machine learning, statistical analysis, data visualization, and big data technologies. Prior to that, I completed my Bachelor's degree from NIT Durgapur, another renowned institution known for its excellence in technical education. The rigorous curriculum and practical training at both institutes have equipped me with a strong foundation in analytical skills, while fostering a problem-solving mindset and the ability to work in diverse teams. My educational background, coupled with my passion for data science, positions me well to tackle complex challenges and contribute effectively to the field.

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