Mihir Sawant
Boston, MA 857-***-**** *************@*****.*** mihirsawant.github.io www.linkedin.com/in/mihir-sawant EDUCATION
Northeastern University, Boston, MA, United States Sept 2018- May 2020 Master of Science in Information Systems
• Relevant Courses: Designing Advanced Data Architectures for Business Intelligence, Data Science Engineering, Data Management and Database Design, Network Structures and Cloud Computing University of Mumbai, Mumbai, MH, India Sept 2013- Jun 2017 Bachelor of Engineering in Electronics Engineering
• Relevant Courses: Structured and Object-Oriented Programming, Modern Information Technology for Management Certifications:
• AWS Certified Cloud Practitioner, Amazon Web Services Training and Certification May 2020
• Tableau Desktop Specialist, Tableau Feb 2020
• Google analytics, Google Analytics Feb 2020
TECHNICAL SKILLS
Languages: Python, SQL, JavaScript, HTML, CSS, C++ Databases: MySQL, MongoDB, Microsoft SQL Server, Oracle, PostgreSQL, Cassandra, Neo4j ML Libraries: NumPy, Pandas, SciPy, Scikit-learn, MatPlotLib, Seaborn ML Algorithms: Regression, KNN, Decision Trees, SVM, Random Forest, Naïve Bayes, GBM Tools: Talend, Alteryx, Tableau, PowerBI, Azure, SSIS, SSRS, SAS, Google Analytics, Github, MS Excel AWS: EC2, RDS, RedShift, Athena, ELB, CloudWatch, CodeDeploy, Lambda, SNS, SES, S3, CloudFormation WORK EXPERIENCE
Data Management and Analytics Intern Velero Technology Wellesley, MA July 2020– Present
• Translated business needs into analytics and reporting requirements to support executive decisions and workflows
• Administered Neo4j database and interpreted and analyzed to gain meaningful insights
• Created ad-hoc reports on frequent basis to assist management in understanding, researching, and analyzing issues
• Translated data results into written reports, tables, graphs, and charts to convey information to management SQL Developer Intern Applab Technologies Mumbai, MH Jun 2017– Sep 2017
• Developed an application for management system to handle data of 500 + students in MySQL server
• Normalized the data to 3NF to eliminate the redundancy to avoid inter dependencies between entities
• Transformed SQL queries, implemented stored procedures and triggers to improve query performance 10% faster
• Extracted, interpreted and analyzed data for progress and evolution of KPI and for market survey
• Presented reports with Tableau for performance analysis which monitors customer satisfaction based on feedback ACADEMIC PROJECTS https://github.com/mihirsawant
Northeastern University, Boston, MA
IMDb Data Warehouse Integration & Visualization (MS SQL, ERStudio, Talend, Tableau) Mar 2020- Apr 2020
• Led consolidation of 5 data systems for movie statistics into snowflake data warehouse using Talend
• Fashioned 27 dimensions and 16 facts merging relational, unstructured and flat-file data structures using ERStudio
• Developed visualizations and dashboards for reporting and to satisfy ad hoc data analysis requests and tracking NYPD accidents and complaints (MS SQL, ERStudio, Alteryx, Power BI, Tableau) Dec 2019- Feb 2020
• Modeled data warehouse with 3NF, developed SQL queries for data extraction and performed data mapping
• Implemented SCD-4, researched inquiries, executed data profiling and solved complex business problems using SQL
• Achieved 17% process efficiency by data cleansing, and integrated data into MSSQL using ETL processes in Alteryx Infrastructure and Web Application (Terraform, AWS, MS Azure, PostgreSQL, Node.js, CircleCI) Sept 2019- Nov 2019
• Built a networking infrastructure in Terraform for a web application and created IAM users, roles and policies
• Administered the data in RDS instance in PostgreSQL, DynamoDB and images in S3 buckets using API calls
• Demonstrated Continuous Delivery and Integration (CI/CD) over auto-scaling group with standard size of 3 instances Movie Recommendation System (Machine Learning, Ensembled Learning, Python) Feb 2019- Apr 2019
• Chaired a team of three to implement a recommendation system for movies and performed statistical analysis
• Engineered features for feature selection and optimized hyper-parameters to gauge the effect of metrics on models
• Evaluated Hybrid Models, K-means clustering, Light FM and compared to acquire accuracy of 90.1% Movie Ticket Management System (MySQL server, Toad Data Modeler) Oct 2018- Dec 2018
• Architected a database using MySQL to hold data for movie ticket bookings, normalized data to 3NF
• Established ER model and implemented stored procedures and triggers to offer 3 reward points to redeem later
• Administered the database to prevent repetitive booking of one seat and offered selective permissions to user