Meet Vasani Email & Phone Number

Cleveland, OH, US

Jersey City, New Jersey, United States

• Automated repetitive data extraction tasks from Snowflake database using SSIS, and streamlined data collection process
• Applied data transformation, feature selection, regularization and bias-variance trade-off using Python libraries such as Pandas, NumPy, and scikit-learn reducing model complexity by 5%
• Performed hyperparameter tuning, integrating machine learning models, automating failure detection process, energy consumption trends, improved resource allocation and reducing error by 10%
• Engineered and optimized scalable data pipelines using dbt and AWS for data transformation, git for version control, SSAS with predictive analysis, advanced SQL and OLAP cubes for multidimensional analysis, reducing.
• Integrated Power Automate with Power BI to establish real-time data updates in dashboards, enhancing KPI tracking accuracy and facilitating decision-making for stakeholders

India

• Conducted advanced data preprocessing techniques, including extraction from Postgres, data cleaning, feature engineering, and outlier detection, ensuring high-quality datasets for model training, improving overall data.
• Demonstrated robust data practices including A/B testing, funnel analysis, customer churn analysis, user behavior tracking, optimizing strategies through feature selection, yielding 15% improved ad spend efficiency
• Leveraged advanced SQL CTEs, window functions, and subqueries, alongside Tableau to create dashboards, and producing ad-hoc reports using SSRS, supporting merchandising strategies and boosting 10% overall campaign.
• Spearheaded cross team collaboration using Python, conducting tasks like imputation, normalization, and scaling, resulting in 20% faster data analysis and model development
• Methodically segregated and compared baseline, ensemble and deep learning models via various metrics (i.e., RMSE value, MSLE value and R2 score), achieving a substantial reduction in error rates and delivering more.

India

• Innovated advanced Gujarati Question Answering system utilizing machine learning technique for data collection, data – preprocessing, and establishment of relation between user for precise answer extraction from.
• Optimized question processing by 5% accuracy via pre-processing, IndoWordNet API tokenization, bag of words models, count vectorizers and NLTK for accurate answer retrieval, catering to diverse question structures
• Performed EDA using Python on public sentiments and 11 emotions related to COVID 19 using 5000 tweets from Twitter
• Excelled in Sentiment Analysis using SVM with TF and TF-IDF achieving high accuracy, precision, recall, and F1-Score, also considering Emotion Detection where SVM outperformed in TF-IDF, while MNB, XGBoost, and CNN.

Master Of Science - Ms, Data Analytics Engineering

Courses: Fundamentals of Data Analytics Data Management for Analytics Data Mining in Engineering Computation and Visualization for.

Bachelor Of Technology - Btech, Computer Engineering

Co-authored 3 International research papers in the field of Data Science/ Analytics, (Springer)