About Me
I’m Yashwanth | Data Scientist
Skilled Data Scientist with 3+ years of experience in Data Extraction, Data Modelling, Data Wrangling, Statistical Modeling, Data Mining, Natural Language Processing, Machine Learning, and Data Visualization. Proven track record of driving business growth through data-driven strategies and expertise in A/B testing, recommendation systems, and user engagement. Proficient in Python, AWS, SQL, and Docker, with a strong background in data analysis, statistical modeling, and manipulation using R. Reduced operational costs and improved system reliability through AWS infrastructure design and deployment. Experienced in ETL processes, Kubernetes, CI/CD pipelines, and container orchestration for efficient data management and deployment.
Experience
Data Scientist
- Led end-to-end data science projects using Python and SQL, improving accuracy for customer behavior models by 30%.
- Engineered a robust data preprocessing pipeline with Pandas and NumPy, reducing data cleaning time by 40% and enabling faster model iteration.
- Conducted in-depth exploratory data analysis, uncovering key insights that led to the development of five new product features, increasing user engagement by 25%.
- Developed and deployed a machine learning model for demand forecasting using Scikit-learn and TensorFlow, resulting in a 15% reduction in inventory costs and a 10% increase in supply chain efficiency.
- Implemented advanced feature engineering techniques with PySpark, improving fraud detection model performance by 35% and reducing false positives by 20%.
- Collaborated with cross-functional teams to integrate model outputs using REST APIs and Docker, leading to data-driven decision-making and a 20% increase in overall operational efficiency.
Data Engineer
- Orchestrated scalable data pipelines using Apache Spark, processing over 100GB of daily data and reducing ETL time by 50%, accelerating data availability for analytics teams.
- Integrated diverse data sources into a unified data lake, increasing data accessibility and supporting advanced analytics projects that drove a 25% improvement in operational efficiency.
- Optimized SQL queries and database schemas, reducing query execution time by 30% and increasing overall system performance by 25%, enhancing user experience and reducing infrastructure costs by 20%.
Data Analyst
- Spearheaded a predictive analytics project using Python and Scikit-learn, forecasting customer demand with 92% accuracy and reducing inventory costs by $300K annually.
- Created an interactive Power BI dashboard integrating real-time sales data, increasing executive decision-making speed by 40% and driving 12% revenue growth.
- Optimized marketing spend through advanced SQL queries and Excel modeling, reallocating $500K to high-performing channels and improving ROI by 35%.
- Designed and executed a customer segmentation analysis using K-means clustering, enabling personalized campaigns that boosted customer retention by 22%.
- Implemented an automated data quality framework using Python, reducing manual data cleaning efforts by 80% and improving overall data integrity by 95%.
Education
Master of Science, Computer Science (Specialization: Data Science)
- Relevant Courses: Database Design, Machine Learning, Artificial Intelligence, Statistical Methods for Data Science, Big Data Analytics and Management, Design and Analysis of Algorithms, Data Structures, Web Programming
Bachelor of Technology, Electronics and Communication Engineering
Projects
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