Maanvee Mehrotra

Technical Skills: R, SQL, Python, Tableau, Power BI, AWS, MATLAB, TensorFlow, Neural Networks, PySpark

Education

M.S., Business Analytics University of California, Davis (Expected June 2024)
B.S., Business Analytics California State University, Sacramento (May 2023)

Work Experience

Data Scientist @ The Best Notary (_Sept 2023 – present) As part of the MSBA, employed consultative analytics in optimizing hiring times through building predictive models.

Decreased 20% in the hiring process by developing a machine learning predictive model for notary performance.
Improved data quality by 50% through profiling, cleansing, normalization, manipulation from 4+ sources to a single dataset using SQL and Python to create dashboards on Tableau.

Data Analytics Intern @ Streamline Software Inc. (Aug 2023 – Jan 2024) Facilitated analytics and operations for Streamline, startup with a web platform for local government entities.

Enhanced CRM by 85% text-matching accuracy through strategic implementation of ETL methodologies and data engineering, using Python libraries like Levenshtein and Fuzzy Wuzzy.
Collaborated with the Senior Analytics Manager to develop and implement company-wide analytics processes, focusing on refining data collection, analysis methodologies, and implementation strategies for enhanced frameworks.
Implemented Python tools like Pandas and NumPy to combine and clean diverse datasets, resulting in a 70% improvement in data accuracy, ensuring greater reliability and enhancing data credibility.
Applied effective data modeling to optimize data for analytical queries and reporting purposes, leading to $3M sales surge in Q4 2023, marking a 50% increase compared to the same quarter the previous year.

Data Analytics Intern @ California State University, Sacramento (Aug 2022 – May 2023) Optimized Tableau dashboards and data quality protocols for the Business Administration office.

Achieved 50% reduction in data errors and bolstered accuracy by conducting data cleaning and pre-processing on 530+ datasets, and applying statistical techniques for data visualizations in Tableau.
Identified trends within 4K+ datasets and provided actionable recommendations for a 67% increase in office hours efficiency, suggesting streamlined workflows, and automation tools adoption.
Contributed to a 30% improvement by supporting the implementation of data collection protocols, focusing on validating sources and minimizing missing or inaccurate data points.
Collaborated in cross-functional collaboration with teams like Business Development and Finance to tailor KPIs, designing metrics customized for each team to drive growth and streamline operational effectiveness

Blogs