Hi There,
I'm Kushal Kumar Naik
i am into
About Me
Data Scientist with 2.6 years of experience at HPE, delivering high-impact data solutions by leveraging advanced machine learning techniques, statistical analysis, and data engineering practices. Proficient in utilizing the full spectrum of data science tools, including Python, R, SQL, and cloud platforms like AWS and Azure, to extract actionable insights from complex datasets. Experienced in developing and deploying predictive models, conducting A/B testing, and optimizing algorithms to drive business growth and operational efficiency. Demonstrated ability to collaborate with cross-functional teams to translate business needs into data-driven strategies, resulting in significant performance improvements and cost savings. Passionate about solving challenging problems and continuously advancing technical expertise to stay at the forefront of the data science field.
E-mail : Kushalkumard001@gmail.com
Place : Bengaluru, Karnataka India - 560100
Shridevi Institute of Engineering and Technology, Tumkur
Grade: 7.1 CGPA
St.Charles Composite PU College, New Town,Bhadravathi
Grade: 6.7 CGPA
MAR 2022 - Present
• Developed and Deployed Machine Learning Models: Successfully created and implemented predictive models for customer churn, leading to a 15% increase in customer retention. • Data Analysis for Marketing Campaigns: Analyzed large datasets to uncover trends and insights, resulting in a 10% improvement in the effectiveness of marketing campaigns. • Collaborative Feature Implementation: Worked closely with product and engineering teams to develop and implement data-driven features, enhancing user experience by 20%. • Model Performance Monitoring: Established a robust framework for monitoring and evaluating the performance of deployed models, ensuring they remain accurate and reliable over time. • Customer Behavior Analysis: Conducted in-depth analysis of customer behavior and preferences, contributing to the development of personalized marketing strategies
As a Machine Learning intern at Verzeo, I am gaining hands-on experience in the latest data science and machine learning techniques under the guidance of experienced mentors. I am currently working on projects that involve developing and implementing Advanced Deep learning algorithms, computer vision and natural language processing techniques. In this role, I have the opportunity to apply my knowledge of Python programming and popular libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, OpenCV, TensorFlow, Keras, and PyTorch. I am thrilled to be part of such a respected organization in the field, and I look forward to further developing my skills and contributing to the exciting projects at Verzeo.
Skills: Python (Programming Language) · Data Science · Machine Learning · Flask · Web Scraping · Version Control · Deep Learning · Object-Oriented Programming (OOP) · Statistics
The IBM Data Science Professional Certificate on Coursera is a comprehensive program designed to equip learners with essential data science skills. The course covers a broad range of topics, including data analysis, data visualization, machine learning, and statistical analysis using Python. Participants gain hands-on experience with tools like Jupyter Notebooks, SQL, and IBM Cloud, working on real-world projects to build and deploy data science solutions.
As a Certified Data Scientist from Coursera, I have completed rigorous training in data science, acquiring advanced skills in data analysis, machine learning, and statistical modeling. The certification program provided in-depth knowledge of Python programming, data visualization, and data manipulation using SQL. Through hands-on projects and real-world applications, I gained expertise in developing, deploying, and optimizing data-driven solutions. This certification validates my ability to turn complex data sets into actionable insights, driving business innovation and efficiency.