Sahil Nadaf
Data Science Intern @Boston Consulting Group (BCG)
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WORK HISTORY
Data Science Intern @Boston Consulting Group (BCG)
I. Working as a Data Science Intern with BCG Virtual Internship Program.II. Understanding the domain data, cleaning the datasets, handling missing, null values and performing Exploratory Analysis on historical customer data and visualizing variable Performing Feature Engineering and training the predictive model based on engineered features and evaluating and measuring the model performance on test datasets, testing the hypothesis and interpreting the results.IV. Developing executing summary slides synthesizing the findings from the project and presenting it in simple and concise way using the presentation and dashboarding tools.
EDUCATION
Walchand College of Engineering(A Govt. Aided Autonomous Institute),SANGLI-M.S
Master of Technology - MTech
Sharad Institute of Technology College of Engineering
Bachelor of Technology - BTech
ABOUT SAHIL NADAF
Results-driven data analyst with Google certification and a solid foundation in data science and machine learning techniques. Proficient in extracting, analyzing, and interpreting complex datasets to drive data-driven decision-making and deliver actionable insights. Skilled in statistical analysis, predictive modeling, and algorithm development. As a Google certified data analyst, I have a deep understanding of data manipulation, data cleaning, and data modeling, ensuring accuracy and reliability in all stages of the data lifecycle. I am experienced in leveraging programming languages such as Python, R, and SQL to extract, transform, and load data from diverse sources. My expertise also extends to advanced analytics techniques, including data mining and text mining. With a keen eye for data visualization, I excel in creating visually appealing and informative reports and dashboards using tools like Tableau and Power BI. Through effective storytelling with data, I have successfully communicated complex insights to both technical and non-technical stakeholders, driving organizational understanding and facilitating strategic decision-making. In addition to my data analysis skills, I possess a strong background in machine learning. Proficient in implementing and fine-tuning various algorithms, such as regression, classification, clustering, and recommendation systems, I have developed predictive models to optimize business processes and uncover valuable patterns in large datasets. My familiarity with popular machine learning libraries, including TensorFlow and scikit-learn, enables me to build robust and scalable models. Collaborative by nature, I thrive in cross-functional teams, leveraging my excellent problem-solving and communication skills to deliver results. I am passionate about staying at the forefront of industry trends and advancements, continuously expanding my knowledge in data science and machine learning. As a motivated and versatile professional, I am now seeking opportunities in data science and machine learning-related roles where I can apply my expertise to drive innovation, solve complex problems, and contribute to the success of organizations in unlocking the power of their data.
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